Ideally, you will have 6+ years of financial analysis experience working directly in a Corporate Finance or a Strategic Finance role, with 2 years of investment banking or top-tier consulting experience. You will have demonstrated excellent project management skills, ability to manage and manipulate large data sets, critically analyze existing processes, and identify opportunities for process improvement. You will have strong knowledge of Google Suite, and MS Office (Excel, Word, PowerPoint); expert Excel modeling skills.

The ideal candidate will be a strong communicator with excellent interpersonal skills to manage various stakeholders. You will be able to work closely with department heads on real-time high-priority business issues and use quantitative insights to drive better decision-making across the organization.

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Scale's rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world.

Our core work consists of creating custom AI applications that will impact millions of citizens, generating high-quality training data for national LLMs, and upskilling and advisory services to spread the impact of AI.

As a Principal AI Ops Architect, you will design and develop the production lifecycle of full-stack AI applications, while supporting end-to-end system reliability, real-time inference observability, sovereign data orchestration, high-security software integration, and the resilient cloud infrastructure required for our international government partners.

At Scale, we're not just building AI solutions,we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology.

Responsibilities

• Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies.
• Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment.
• Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability.
• Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks.
• Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again.
• Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials.
• Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases.

Ideal Candidate

• Experience: 6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector.
• Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI.
• System architecture proficiency: Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core.
• Modern AI Stack expertise: Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools.
• Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them.
• Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy.
• Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it.

Benefits

• Competitive salary and benefits package
• Opportunity to work with a leading AI company
• Collaborative and dynamic work environment

About Us

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.

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Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows.

Key Responsibilities:

• Recruit a high-performing engineering team.
• Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of engineers working on Generative AI projects.
• Collaborating with cross-functional teams to define, design, and execute strategic roadmap.
• Work directly with customers to understand their problems and translate those into features in Scale’s platform.
• Be open to ~25% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer’s data to Scale’s platform and back.
• Deploy and maintain Scale software at customer sites
• Develop customer requested features and work closely with them to ensure that they win customer love.
• Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.

Requirements:

• 5+ years of full-time engineering experience, post-graduation
• 2+ years of prior engineering management or equivalent experience and has managed an engineering team.
• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
• Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
• Linux experience: Understanding of shell scripting, operating systems, etc
• Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc)
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
• Understand unique DoD and USG constraints when it comes to technology

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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This role offers a rare opportunity to make a meaningful impact at the intersection of AI and national security. You will help build Generative AI data-labeling pipelines from the ground up, create operational processes to manage and optimize an in-house expert data workforce, and develop novel technology-driven approaches (e.g., scripts, prompt engineering, hybrid data) to improve the quality of our training and evaluation datasets.

Responsibilities:

• Develop, build, and maintain the infrastructure required to ensure data pipelines are efficient, scalable, and produce high-quality outputs
• Take ownership of day-to-day progress on high-priority data production pipelines, ensuring projects move forward efficiently
• Partner with subject matter experts in their fields to validate the quality of our data and to translate deep domain knowledge into scalable processes and measurable outcomes
• Work closely with customers to understand their requirements and design data taxonomies that optimize model performance
• Utilize analytics and data visualization tools to track progress, identify bottlenecks, and make data-driven decisions to optimize pipeline performance
• Influence cross-org collaboration to define and advance human data strategy, influencing technical and non-technical stakeholders to ensure data quality, scalability, and long-term platform leverage
• Own larger and larger components of our data delivery processes, until you ultimately serve as the full owner of our most visible and high impact customer pipelines

You have:

• 5+ years of experience in product development, data science, or operations
• A history of successful project management and comfort in ambiguity
• Ability to analyze complex operational data, build queries, and identify trends to inform decisions and optimize processes
• Technical aptitude to understand how to produce data for state of the art post-training techniques such as supervised fine tuning (SFT), reinforcement learning through human feedback (RLHF), Reinforcement Learning with Verifiable Rewards (RLVR) etc

Nice to have:

• Experience working in defense tech and/or an AI company
• A technical degree in fields like computer science, data science, or engineering
• A deep understanding of ML operations for generative AI workflows / products
• An active Top Secret security clearance

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of Washington DC is: $169,600-$212,000 USD

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We’re looking for a high-performing, all-rounded finance athlete to join our team and support the rapidly growing Generative AI (GenAI) business. You’ll collaborate closely with Product, Operations, Growth, and Go-to-Market leaders to bring financial rigor to decision-making, develop actionable insights that drive strategy, and build scalable systems as the business expands.

This role is ideal for someone with 4-6 years of experience in a fast-paced, high-growth environment. Someone who thrives in ambiguity, can juggle multiple workstreams, and brings a mix of analytical rigor, business acumen, and strong execution.

You will:

• Own and evolve part of the GenAI financial forecasting model, driving accuracy and insight across planning cycles
• Support reporting and performance management, including weekly and monthly reviews, consolidations, and ad hoc analyses
• Partner with GenAI leadership and cross functional teams to evaluate and execute key strategic and operational initiatives that scale the business multifold
• Conduct financial analyses and build business cases for new products, partnerships, and investments
• Collaborate with Accounting, and Corporate Finance to improve close, reporting, and planning cadences
• Continuously improve financial processes and systems to enhance scalability, forecast precision, and data visibility

Ideally, you'd have:

• 4–6 years of experience in Strategic Finance, FP&A, or Business Operations, ideally within a high-growth technology company
• 2 years of investment banking experience at a top-tier firm
• Strong analytical and financial modeling skills; ability to translate complex data into actionable insights
• Excellent communication skills, with the ability to distill complexity into clear narratives for non-finance stakeholders
• Advanced proficiency in Excel, Google Sheets, and PowerPoint; strong command of financial modeling best practices
• Experience with SQL or Business Intelligence tools (e.g., Looker, Tableau)
• Familiarity with Anaplan, Adaptive Insights, or other planning systems

Nice to haves:

• Bachelor’s degree in Finance, Accounting, Economics, Engineering, or a related field
• Prior experience supporting Product, Engineering, Growth, or Operations teams within a technology company

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Scale is at the frontier of GenAI and human-AI collaboration. The Gen AI Ops Trust and Safety team is focused on safeguarding human authenticity and genuineness in AI training.

We are looking for a highly analytical Technical Program Manager (TPM) who leans heavily into fraud analytics and data-driven strategy to protect our ecosystem. This isn't a project management role. You will act as the lead investigative analyst and program owner for our fraud defense portfolio.

Your day-to-day will involve diving deep into complex datasets to uncover hidden fraud vectors, and then translating those analytical insights into scalable rules, policies, and operational programs. By utilizing AI coding tools at high velocity, you will build out analytics pipelines, dashboards, and detection logic to shift Trust and Safety from a reactive function to a strategic one that balances safety and growth.

Responsibilities

• Analyze large, messy behavioural events to identify ambiguous and constantly evolving fraud patterns across the contributor lifecycle.

• Translate your analytical findings into actionable detection logic. You will redesign rules, optimize thresholds, and decision flows to catch bad actors while minimizing friction for high-quality contributors.

• Establish robust KPIs, build tracking dashboards, and define offline evaluation frameworks (e.g., false positive monitoring, precision/recall analysis) to continuously measure the health of our risk strategy.

• Act as the connective tissue between data, operations, and engineering. You will use your analytical findings to implement technical execution, taking new detection capabilities from data prototype to production deployment.

• Leverage AI-assisted IDEs daily to rapidly write complex SQL queries, automate data pulls, and streamline your analytical workflows.

• Connect signals, data, and operations to see the full picture. Provide clear, direct communication regarding fraud trends and strategy shifts to both technical and non-technical partners.

Requirements

• 5-8 years of experience in risk strategy and fraud analytics. You have a battle-tested track record of reverse-engineering adversarial patterns, dismantling complex fraud vectors, and driving highly analytical Trust & Safety or TPM programs.

• Expert proficiency in SQL skills. You must be highly comfortable extracting insights from large datasets in noisy, adversarial environments.

• An execution-driven mindset focused on delivering measurable results, not just theoretical analysis. You are comfortable working in ambiguity and taking ownership from data problems to operational solutions.

• Strong proficiency with AI coding assistants to accelerate data exploration and query writing.

• Deep understanding of how to balance aggressive fraud detection with marketplace growth. You make decisions based on what's right for the business, not what's convenient.

Nice to haves:

• Solid Python skills (e.g., Pandas, NumPy) for advanced data manipulation and scripting

• Experience working in marketplace or gig-economy platforms is a plus

Compensation

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

Salary Range

The base salary range for this full-time position in the location of San Francisco is: $180,800-$226,000 USD

Benefits

You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

About Us

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.

We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com.

Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Our core work consists of creating custom AI applications that will impact millions of citizens, generating high-quality training data for custom LLMs, and upskilling and advisory services to spread the impact of AI.

You will serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation.

Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes.

Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments.

Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases.

Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture.

Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team.

Ideally, you'd have a Master's or PhD in Computer Science or equivalent deep industry experience in architecting complex, distributed systems.

10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP).

Expert ability to design and oversee production-grade ecosystems, ensuring world-class standards for system integrity, security, and long-term scalability.

Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments.

A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization.

A driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction.

Proficient in Arabic.

Nice to haves include past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role, experience working cross functionally with operations, and a proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systems.

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Our core work consists of creating custom AI applications that will impact millions of citizens, generating high-quality training data for custom LLMs, and upskilling and advisory services to spread the impact of AI.

As a Full Stack Software Engineer (Forward Deployed), you'll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.

At Scale, we're not just building AI solutions,we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology.

Responsibilities:

• Collaborate with senior engineers to implement features for public sector clients, including spending time with the client to understand user feedback and assist with delivery.
• Develop and maintain full-stack components that integrate with AI models, focusing on building responsive UIs and reliable backend APIs.
• Assist in deploying and monitoring applications within cloud environments, ensuring basic system stability and security.
• Help build and refine reusable features that support diverse international client use cases.
• Work within a multi-disciplinary team of design, product, and data specialists to build robust features that follow established technical architectures.

Ideal Candidate:

• Bachelor's degree in Computer Science or a related quantitative field
• Professional full-stack experience with a focus on React, TypeScript, and Python/Node.js. Familiarity with Next.js and NoSQL/Relational databases, along with exposure to containerization (Docker) and cloud deployments.
• Experience building and deploying web applications with a good understanding of cloud fundamentals and scalable coding practices.
• A self-starting approach to navigate ambiguous requirements and deliver reliable software.

Nice to Have:

• Proficient in Arabic
• Experience working cross functionally with operations
• Experience building solutions with LLMs

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This is a 0→1 build team. We’re looking for a sharp, product-minded Senior Engineer who thrives in ambiguity, moves quickly, and enjoys building new systems from scratch alongside customers and cross-functional partners. You’ll work closely with product, forward-deployed engineers, data scientists, and applied AI teams to turn real-world problems into scalable, production solutions.

If you like shipping fast, owning outcomes, and working across the stack,from polished frontends to distributed backends to LLM integrations,this role is for you.

Responsibilities

• Own major full-stack product areas, driving features from concept and design through production deployment
• Build intuitive, high-performance frontend experiences using React + TypeScript
• Develop reliable backend services in Python, working with distributed systems, data pipelines, and AI/ML infrastructure
• Integrate LLMs, vector databases, and agentic frameworks to power intelligent workflows and decision-making systems
• Ship quickly through tight experimentation loops while maintaining high quality and reliability
• Help define the technical direction and architecture of a brand-new team and product surface
• Adapt across the stack and learn new tools as needed to solve real problems end-to-end

Ideal Experience

• 5+ years of full-time software engineering experience
• 0-1 product build experience
• Familiarity with LLMs, embeddings, vector databases, or modern AI data products/tools
• Experience with distributed systems and cloud-based architectures
• Prior experience mentoring or leading team

What We Value

• Strong product intuition and customer empathy
• Bias toward action and rapid iteration
• Ownership mentality , you see problems through to outcomes
• Comfort collaborating across engineering, product, data science, and applied AI
• Excitement about building agentic systems that make AI genuinely useful in the real world

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Our core work consists of creating custom AI applications that will impact millions of citizens, generating high-quality training data for custom LLMs, and upskilling and advisory services to spread the impact of AI.

As a Full Stack Software Engineer (Forward Deployed), you'll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.

At Scale, we're not just building AI solutions,we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology.

If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you.

Responsibilities

• Collaborate with senior engineers to implement features for public sector clients, including spending time with the client to understand user feedback and assist with delivery.
• Develop and maintain full-stack components that integrate with AI models, focusing on building responsive UIs and reliable backend APIs.
• Assist in deploying and monitoring applications within cloud environments, ensuring basic system stability and security.
• Help build and refine reusable features that support diverse international client use cases.
• Work within a multi-disciplinary team of design, product, and data specialists to build robust features that follow established technical architectures.

Ideal Candidate

• Bachelor's degree in Computer Science or a related quantitative field
• Professional full-stack experience with a focus on React, TypeScript, and Python/Node.js. Familiarity with Next.js and NoSQL/Relational databases, along with exposure to containerization (Docker) and cloud deployments.
• Experience building and deploying web applications with a good understanding of cloud fundamentals and scalable coding practices.
• A self-starting approach to navigate ambiguous requirements and deliver reliable software.

Nice to Haves

• Proficient in Arabic
• Experience working cross functionally with operations
• Experience building solutions with LLMs

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Our team is responsible for building and maintaining a range of software systems, including our labeling platform, fraud-detection systems, and customer service RAG application. You will have the opportunity to work on a variety of projects, from building methodical fraud-detection systems to devise advanced matching algorithms to match labelers to customers for optimal turnaround and accuracy.

We're looking for someone with a strong background in software engineering, excellent problem-solving skills, and a passion for working with AI technologies. You should be comfortable working in a fast-paced environment and be able to collaborate effectively with our team.

In this role, you will have the opportunity to work on a range of exciting projects, including:

• Building methodical fraud-detection systems to remove bad actors and keep Scale's contributor base safe and trusted.
• Using models to estimate the quality of tasks and labelers, and guarantee quality on requests at large scale.
• Devise advanced matching algorithms to match labelers to customers for optimal turnaround and accuracy.
• Build methods to automatically measure, train, and optimally match labelers to tasks based on performance.
• Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ labelers to complete billions of complex tasks.

If you're passionate about software engineering and AI, and want to be part of a dynamic team that's making a real impact, we'd love to hear from you.

Requirements:

• A graduation date in Fall 2025 or Spring 2026 with a Bachelor’s degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics).
• Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out ‘what’ to build and then iterating.
• Previous Product/Software Engineering Internship experience.
• Track record of shipping high-quality products and features at scale.
• Experience building systems that process large volumes of data.
• Experience with Python, Typescript, React, and/or MongoDB.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of San Francisco is $124,000-$155,000 USD

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Key responsibilities include driving the team's core operating cadence and strategic planning moments, partnering with functional leads to track and pressure-test OKRs and key metrics, and collaborating with Sales Operations on forecasting and pipeline reviews.

The ideal candidate will have a penchant for digging deeply into data, thinking from first principles, and iterating quickly to deliver results. They should have a strong orientation toward outcomes, low ego, and highly collaborative interpersonal style.

Experience in product or project management, taking projects from conception to launch, is also preferred. Excellent qualitative and quantitative analytical skills are essential.

Nice to haves include experience at a top-tier consulting firm, exposure to tech, product, or operational roles in a high-growth environment, and an MBA.

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You will partner with public sector clients to deeply understand their challenges and define AI-driven solutions.

Key responsibilities include:

• Building and deploying end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models
• Collaborating with cross-functional teams, including data annotation specialists, to create high-quality training datasets
• Designing and maintaining robust evaluation frameworks to ensure the reliability and effectiveness of AI models
• Participating in customer engagements, including occasional travel (approximately two weeks per quarter)

Ideally you'd have:

• A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
• 7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++
• 2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines
• Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)
• Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets
• Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment

Nice to haves:

• Experience working at a startup, particularly as founding engineer
• Experience building and deploying large-scale AI solutions
• Strong written and verbal communication skills to operate in a cross-functional team environment
• Proficiency in Arabic (if focused on language models)

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As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions.

Key responsibilities include:

• Developing and maintaining automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge–based evaluations.

• Designing test datasets and benchmarks to measure generalization, bias, explainability, and failure modes.

• Building evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing.

• Conducting comparative analyses of model architectures, training procedures, and evaluation outcomes.

• Implementing tools for continuous monitoring, regression testing, and quality assurance for ML systems.

• Designing and executing stress tests and red-teaming workflows to uncover vulnerabilities and edge cases.

• Collaborating with operations teams and subject matter experts to produce high-quality evaluation datasets.

This role requires an active security clearance or the ability to obtain a security clearance.

Ideal candidates will have experience in computer vision, deep learning, reinforcement learning, or NLP in production settings, strong programming skills in Python, and background in algorithms, data structures, and object-oriented programming.

Nice to have qualifications include graduate degree in CS, ML, or AI, cloud experience (AWS, GCP), and model deployment experience.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant.

You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

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Ideally, you will have 5+ years of experience in intellectual property law at a top-tier law firm and/or in-house legal department, with experience advising on broader product or regulatory matters. You will have a JD and active membership in at least one U.S. state bar (California preferred) in good standing. You will have strategic thinking, risk calibration, collaboration, agility, and organizational skills. You will have a deep interest in artificial intelligence, generative AI, and machine learning technology, with the ability to engage effectively with technical teams.

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Key Responsibilities:

• Serve as the full owner of our most visible and high-impact customer pipelines, making decisions that directly impact data quality, operational efficiency, revenue, and margins
• Understand customer requirements and design data taxonomy best suited to improving model performance based on customer needs
• Build out pipeline infrastructure to ensure quality and efficiency
• Train, coach, and manage dynamic and global teams
• Build analytics to make data-driven decisions
• Partner with diverse stakeholders (Engineering + Product + Ops + Go-to-Market) to work on problems that will drive advancements for the largest LLMs in the world
• Give regular progress updates to Scale's executive team

Requirements:

• A strong technical background is required for this position. For example, a degree in Machine Learning Engineering, Computer Science, or Software Engineering
• 3+ years of experience leading a team/projects, managing operational processes, or 3+ years of experience as a SWE
• Strong problem-solving capabilities in technical environments
• Ability to come up with creative solutions to complex, ambiguous, operational, and technical problems
• Entrepreneurial experience and mindset

Compensation and Benefits: The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. You'll also receive benefits including, but not limited to: Comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

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You will implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail.

Key responsibilities include:

• Architecting multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers
• Implementing custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)
• Collaborating with platform, product teams and our customers directly to develop and implement innovative infrastructure that scales to meet evolving needs
• Delivering experiments at a high velocity and level of quality to engage our customers

Requirements include:

• 4+ years of full-time engineering experience, post-graduation
• Experience scaling products at hyper growth startups
• Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
• Proficient in Python or Javascript/Typescript, and SQL
• Experience with Kubernetes
• Experience with major cloud providers (AWS, Azure, GCP)
• Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences

Compensation packages at Scale for eligible roles include base salary, equity, and benefits.

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Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!

You will:

• Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems
• Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
• Have experience gathering business requirements and translating them into technical solutions
• Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
• Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases.

Ideally you'd have:

• 7+ years of full-time engineering experience, post-graduation
• A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client’s business goals
• Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background.
• Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
• Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)

Nice to haves:

• Strong knowledge of software engineering best practices
• Have built applications taking advantage of Generative AI in real, production use cases
• Familiarity with state of the art LLMs and their strengths/weaknesses

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Key responsibilities include:

• Leading and developing a team of quality control specialists
• Partnering with delivery teams to interpret and improve customer requirements
• Overseeing day-to-day operations, including workload allocation and reporting insights
• Establishing and upholding scalable best practices
• Driving initiatives that improve quality, efficiency, and customer satisfaction

Ideally, you'd have:

• A Bachelor's degree in Computer Science, Engineering, Operations, or a related field
• 4+ years leading teams or improving operational/technical processes
• Strong analytical and problem-solving skills (particularly in SQL) with attention to detail
• Experience building systems, processes, and teams across multiple customer segments or product lines
• A hands-on background in quality assurance, software development, or top-tier management consulting
• Proven experience taking initiative in cross-functional technical environments

Nice to haves:

• Master's degree in Computer Science, Engineering, Operations, or a related field
• Experience in AI/ML services
• Experience in a fast-growing, less-structured startup environment
• Experience building teams from the ground up

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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Key responsibilities include:

• Owning product outcomes for our highest impact enterprise accounts
• Building trusted advisory relationships with VP/C-level buyers and senior technical leads
• Driving deployments from contract to production
• Translating real customer workflows, friction, and priorities into high-signal product input for core platform teams

Ideal candidates will have 6+ years of experience in product management, technical program management, or a customer-facing product ownership role, with a proven track record of shipping products or platform capabilities into large organizations. They will be comfortable operating with senior customer stakeholders (VP/C-level) and senior engineers simultaneously, and have strong judgment under pressure.

In addition to a competitive salary, we offer comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may also be eligible for additional benefits such as a commuter stipend.

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You'll be hands-on: write specs, prototype solutions, dig into technical architecture with engineers, and make product calls grounded in real technical understanding. You'll design and ship AI-powered products and tooling for defense and national security workflows, working side-by-side with engineering and ML teams.

You'll use customer context to inform what you build , understand allied defense workflows deeply enough to make opinionated product decisions, not just relay requirements. You'll navigate the unique constraints of defense product development across allied nations , classification environments, accreditation processes, air-gapped deployments , or be ready to learn these fast.

Ideally, you'd have a builder mentality: you're energized by going from zero to one, not by managing from a distance. You'll have 8+ years of experience in software engineering, ML engineering, or a deeply technical product role where you were hands-on with what shipped. You'll have technical fluency: software engineering or ML background (master's degree in computer science or equivalent experience).

Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role.

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You will be a catalyst, willing to go deep, get technical, and drive change. You will manage customer relationships and partners as well as partner with our engineering team to solve Scale’s hardest problems.

All of this serves an ultimate goal of delivering cutting-edge agentic AI to orchestrate portfolio management for defense of the homeland.

Key responsibilities include:

• Driving innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful agentic AI solutions

• Transitioning AI/ML technologies and processes into working products / solutions even when requirements are undefined or ambiguous

• Partnering with Scale engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision and generative AI domains

• Leading a cross-functional team to exceed the customer’s AI/ML objectives

• Supporting and partnering across B2B and B2G organisations to achieve the outcomes in delivering the greater layered defense for the United States

We have a diverse team with a variety of skill sets, many have:

• 5+ years of professional experience, often in a customer-facing technical program management role in industry or government.

• A proven track record in B2B or government client-facing roles and expanding client relationships

• Prior experience leading engagements with government customers

Must-haves include:

• An active TS/SCI clearance

• Minimum of 3 years of work experience leading teams / programs in industry or government

• A basic understanding of ML operations process

• A track record of structured, analytics-driven problem-solving

• Excellent verbal and written communication skills

• Willingness to travel at least 25% of the time

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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We are looking for a pivotal Solutions Engineer to join this team. As a Solutions Engineer, you'll be a trusted technical partner, building deep relationships with some of the world's most innovative model builders and renowned robotics companies. You will partner closely with Product, Sales and Machine Learning Engineers to guide prospective customers through the pre-sales process, delivering customized demos and pilots that secure the 'technical win.'

You'll define customer technical requirements, develop actionable Statements of Work, and collaborate with the delivery team on initial implementation. Your relentless curiosity about customer needs, combined with your expert knowledge of Scale's products will allow you to design creative and impactful solutions. This is a critical role that directly influences multi-million dollar contracts and initiatives.

You'll travel globally to conduct on-site technical workshops and scope new projects, while also leading demos and pilots for new prospects. You'll be part of a tight-knit, specialized team, influencing a rapidly growing business that is expanding into new product areas.

In this role, you will:

• Partner with Scale Account Executives and Engagement Managers to deliver new customer pilots and grow technical relationships with existing clients.

• Work with Product Engineering and Product Management to influence our product roadmap based on your frontline insights.

• Become a domain expert in next-generation Robotics and physical AI (e.g. VLMs, VLAs, World Models).

• Be accountable for the technical customer experience and commercial growth, expanding relationships and use cases with existing customers.

• Collaborate with highly technical engineers at our customer sites to ensure satisfaction with our data, software platforms, and workflows.

• Design and develop playbooks, demos, and other tools to ensure efficient and successful pilots and customer expansions.

• Pioneer the development of a global Robotics Data Marketplace, actively seeking out and engaging with key international partners to build a comprehensive data ecosystem.

• Evangelize Scale by interacting with customers at major industry events and academic conferences.

You have:

• A strong engineering background, preferably in Robotics, Mechatronics, Computer Science, Mathematics, or other Engineering fields.

• 3+ years of experience developing with Python, C++, Java, and/or other scripting languages.

• Hands-on experience in Robotics and Physical AI.

• Exceptional project management and interpersonal skills, strong attention to detail, and a strong sense of ownership.

• The presentation skills and technical credibility to speak confidently with a variety of stakeholders, from executives to front-line engineers.

• A high level of comfort communicating effectively across internal and external organizations.

• Regular travel within the Bay Area.

• International travel approximately once every two months.

• Intellectual curiosity, empathy, and the ability to operate with a high degree of autonomy.

Bonus points if you have:

• Prior sales, solutions engineering, or partnership experience with a track record of successfully achieving quota.

• Ideally would have experience selling complex technical solutions to enterprises with deal sizes of $500K to $5M+.

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We are seeking a highly skilled Staff Software Engineer to join our Public Sector team. As a Staff Software Engineer, you will be responsible for designing and implementing software solutions for the public sector. You will work closely with cross-functional teams to develop and deploy software applications that meet the needs of government agencies.

Responsibilities:

• Design and implement software solutions for the public sector
• Work closely with cross-functional teams to develop and deploy software applications
• Collaborate with stakeholders to understand their needs and develop software solutions that meet those needs
• Develop and maintain software documentation
• Participate in code reviews and ensure that code meets quality standards

Requirements:

• Bachelor's degree in Computer Science or related field
• 5+ years of experience in software development
• Proficiency in programming languages such as Java, Python, or C++
• Experience with Agile development methodologies
• Strong understanding of software design patterns and principles
• Excellent communication and collaboration skills

Preferred Qualifications:

• Master's degree in Computer Science or related field
• 10+ years of experience in software development
• Experience with cloud-based technologies such as AWS or Azure
• Experience with DevOps practices

Benefits:

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

Salary Range: $252,000-$362,000 USD

Required Skills:

• Full Stack Development
• Cloud-Native Technologies
• Data Engineering
• AI Application Integration
• Problem Solving
• Collaboration and Communication
• Adaptability and Learning Agility

Preferred Skills:

• Experience with modern web development frameworks
• Familiarity with cloud platforms
• Understanding of containerization and container orchestration
• Knowledge of ETL processes
• Understanding of data modeling, data warehousing, and data governance principles
• Familiarity with integrating Large Language Models

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Our core work consists of creating custom AI applications that will impact millions of citizens, generating high-quality training data for custom LLMs, and upskilling and advisory services to spread the impact of AI.

As a Full Stack Software Engineer (Forward Deployed), you'll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.

At Scale, we're not just building AI solutions,we're enabling the public sector to transform their operations and better serve citizens through cutting-edge technology.

If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you.

Responsibilities

• Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery.
• Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems.
• Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability.
• Contribute to core platform features designed to be reused across diverse international client use cases.
• Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture.

Ideal Candidate

• Bachelor's degree in Computer Science or a related quantitative field
• 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP.
• Proven ability to architect scalable, production-grade applications with a strong handle on cloud environments and infrastructure health.
• Experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions.
• A self-starting approach with the technical maturity to navigate ambiguous requirements and deliver reliable software.
• Driven async communication methodologies to reduce communication frictions

Nice to Haves

• Proficient in Arabic
• Past experience working in a forward deployed engineer / dedicated customer engineer role
• Experience working cross functionally with operations
• Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape

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Key responsibilities include:

• Executing all planning and logistics for all federal executive dinners, meetups, happy hours, and sponsored trade shows
• Establishing event activities in line with sales goals and deal acceleration, prioritizing goals from the Federal team leadership and Business Development team on event location and audience
• Managing contractor relationships including event production firms and outside vendors, and event budgets
• Aligning with growth marketing on marketing campaigns and marketing qualified lead (MQL) reporting
• Tracking event campaign performance, measuring ROI, results, and metrics through Salesforce

The ideal candidate will have a minimum of 5+ years experience in event marketing or event management with Federal marketing, experience fully managing and executing events ranging from 30 to 500+ attendees, and excellent written and verbal communication skills.

Benefits include comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. The base salary range for this full-time position in the location of Washington DC is $142,400-$178,000 USD.

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Key Responsibilities: Lead and mentor a high-performing engineering team of 50+, fostering a culture of technical excellence and ownership. Guide your team through complex challenges involving LLMs, AI agents, and large-scale distributed systems. Represent Scale AI in high-stakes negotiations and strategic discussions with senior external partners, demonstrating strong technical competence and credibility. Develop and communicate a compelling vision for Scale AI’s technology applied to your program. Provide regular updates to senior leadership and key stakeholders on progress, risks, and opportunities. Foster a culture of speed, unity of purpose, resilience, and teamwork.

Requirements: 10+ years of software engineering experience, including 5+ years in a technical leadership or staff role. Deep understanding of modern AI/ML technologies, including experience working with LLMs and AI agents. Proficient in one or more modern programming languages (Python, JavaScript/TypeScript). Hands-on experience with Kubernetes and cloud infrastructure (AWS, GCP, or Azure). Strong product and business sense, with a track record of aligning engineering efforts with company goals. Ability to operate effectively in ambiguous, fast-changing environments and guide your team to do the same. Experience in executive level engagement with industry partners and Public Sector customers

Success Metrics: Within 6 months: Successful demonstration of agentic AI’s mission value in high-stakes customer demonstrations Establish Scale AI as the preferred agentic AI partner for the PEO Establish high velocity, agile engineering cadence both internally and with our industry partners

Within 12–18 months: Secure follow-on contract award with expanded scope for Scale Position Scale AI as the global AI leader in this mission area Establish developed solutions as Scale product offerings to deliver on future contracts

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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Key responsibilities include:

• Leading and developing teams of quality control auditors
• Partnering with delivery teams to interpret and improve customer requirements
• Overseeing day-to-day operations, including workload allocation and reporting insights
• Establishing and upholding scalable best practices
• Driving initiatives that improve quality, efficiency, and customer satisfaction

Ideal candidates will have a Bachelor's degree in Computer Science, Engineering, Operations, or a related field, and 2+ years improving operational/technical processes. Strong analytical and problem-solving skills, particularly in SQL and Google Sheets/Excel, are also required.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

Benefits include comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additional benefits may be available, including a commuter stipend.

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You will design and ship high-precision detections across cloud services and enterprise SaaS, develop automation that shortens response timelines, and mature the telemetry pipelines that make it all possible. Your ability to write production-quality code is just as important as your ability to triage an alert.

Responsibilities:

• Engineer, test, and deploy detection logic across cloud and enterprise environments, treating detections as software with version control, peer review, and measurable performance.

• Build and maintain incident response automation, runbooks, and tooling that reduce containment timelines without sacrificing developer velocity.

• Mature telemetry pipelines through improved schema design, normalization, enrichment, and quality checks that reduce false positives and increase signal fidelity.

• Perform digital incident investigations to identify and contain potential security breaches.

• Conduct digital forensics and malware analysis to understand attack vectors and adversary methodologies.

• Integrate alerting with messaging and ticketing systems to enable fast, traceable response workflows.

• Partner cross-functionally with IT, security, and engineering teams to harden identity and access patterns, close logging and forensics gaps, and implement maintainable guardrails that scale with the organisation.

• Utilize threat intelligence platforms to improve hunting, detection, and response workflows.

• Clearly explain the significance and impact of incidents, providing actionable recommendations to both technical and non-technical stakeholders.

Ideal Candidate:

• 5+ years of experience in Detection Engineering, Incident Response, or Security Operations, with a strong emphasis on building and shipping security tooling and automation.

• Proficiency in at least one programming language (e.g., Python, Go) and comfort writing production-grade code , not just scripts.

• Hands-on experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments.

• Practical experience with SIEM, EDR, and SOAR tools, with a preference for candidates who have built integrations or extended these platforms programmatically.

• Strong understanding of modern cyber threats, common attack techniques, and adversary TTPs.

• Familiarity with digital forensics tools and malware analysis techniques.

• Experience with cloud-native environments (e.g., AWS, GCP, Azure) and the security telemetry those environments generate.

• Exposure to threat intelligence platforms and integrating intel into detection and investigation workflows.

• Strong communication skills, with the ability to translate complex security findings into clear business impact.

• Relevant security certifications (e.g., GCIH, GCFA, GCIA, CISSP, GDSA) are a plus.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment.

As a Staff Software Engineer, you will define and drive both the architectural roadmap and implementation of core platforms and software systems. You will be responsible for providing high-level vision and driving adoption across the engineering org for orchestration, data abstraction, data pipelines, identity & access management, and underlying cloud infrastructure.

Impact and Responsibilities:

• Architectural Vision: You will drive the design and implementation of foundational systems, acting as a bridge between high-level business goals and technical goals.

• Cross-Functional Leadership: You will collaborate with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure.

• Technical Ownership: You are responsible for proactively identifying and driving opportunities for organizational growth, driving improvements in programming practices, and upgrading the tools that define our development lifecycle.

• Technical Mentorship: You will serve as a subject matter expert, presenting technical information to stakeholders and providing the guidance to elevate the engineering culture across the company.

Ideally you’d have:

• 8+ years of full-time engineering experience, post-graduation with specialities in back-end systems.

• Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).

• Demonstrated a track record of independent ownership and leadership across successful multi-team engineering projects.

• Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.

• Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc.

• Experience with orchestration platforms, such as Temporal and AWS Step Functions.

• Experience with NoSQL document databases (MongoDB) and structured databases (Postgres).

• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, ArgoCD).

Nice to haves:

• Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt).

• Experience scaling products at hyper-growth startups.

• Excitement to work with AI technologies.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $252,000-$315,000 USD

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Key responsibilities include:

• Delivering experiments at a high velocity and level of quality to engage our customers
• Working across the entire product lifecycle from conceptualization through production
• Being able, and willing, to multi-task and learn new technologies quickly

Ideally, you'd have:

• 7+ years of full-time engineering experience, post-graduation
• Experience scaling products at hyper growth startups
• Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
• Proficient in Python or Javascript/Typescript, and SQL
• Experience with Kubernetes
• Experience with major cloud providers (AWS, Azure, GCP)

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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Key responsibilities include: Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer's requirements. Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises. Be accountable for securing the 'technical win' by unblocking technical challenges Interact with customers daily to understand their needs and design solutions to better serve them. Design and develop 'Scopes of Work' by breaking down customer challenges into a project plan Work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage Work with AEs and PMs to identify customer-specific feature requests. Drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team.

Ideal candidate will have: Strong engineering background with prior experience working with clients in a pre or post-sales capacity to realise business goals. Prior experience developing with Python, Java and/or other web development languages. Experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement. A track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership. Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers. High level of comfort communicating effectively across internal and external organisations. Intellectual curiosity, empathy, and ability to operate with high velocity.

Nice to have: GenAI Experience Forward deployed engineering experience Machine Learning Experience

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This role is ideal for someone who blends program leadership, systems-building obsession, technical fluency , and who thrives in fast-moving, ambiguous, and mission-driven environments.

As a Program Manager, you will:

Serve as the contractual and internal program lead across a large-scale public sector engagement, integrating multiple sub-efforts under one umbrella (e.g., data pipelines for computer vision, software deployments for GenAI solutions) Own relationships with senior government stakeholders and ensure that we meet contractual obligations, performance metrics, and reporting requirements Own relationships with subcontractors to ensure successful delivery of the prime contract Lead formal engagements such as contract reviews, customer program syncs, performance assessments, and reporting cycles Lead and supervise a team of 3-4 delivery managers who run day-to-day customer engagement efforts Oversee a technical delivery team that will drive product roadmap alignment that adapts evolving customer needs

Must haves:

An active TS/SCI clearance 10+ years professional experience, ideally managing complex technical programs for DoD or national security customers A proven ability to lead large, cross-functional efforts across delivery, contracts, and customer teams A healthy obsession with establishing and driving adoption of programmatic systems and processes; plus the ability to exert influence and manage associated change Familiarity with FAR-based contracts and program structures like IDIQs, task orders, and OTAs Strong business acumen with the ability to manage performance metrics, contract deliverables, and program budgets A track record of high ownership in ambiguous environments Excellent written and verbal communication skills , especially with senior government stakeholders Deep curiosity about agentic AI and its application to homeland layered defense A willingness to travel up to 25% of the time

We have a diverse team with a variety of skill sets, many have:

Proficiency in Python, SQL or other programming languages A proven track record in B2B + B2G client facing roles and expanding client relationships Prior experience delivering technical solutions to government customers Domain expertise in a relevant field (e.g. modeling and simulation, joint planning processes, intelligence workflows, etc)

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In this role, you'll collaborate with cross-functional teams to define, design, and deliver new features, proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades. You'll present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.

Ideally, you'd have 8+ years of full-time engineering experience, post-graduation, with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems. You'll need extensive experience in various database technologies, streaming/processing solutions, indexing/caching, and various data query engines.

As a Staff Software Engineer, you'll provide technical leadership, including upholding and upleveling engineering standards across the organization, mentoring junior engineers. You'll possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.

Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings is essential. You'll also need extensive experience in software development and a deep understanding of distributed systems, cloud platforms, and data systems.

You'll drive cross-functional collaboration and communication at an organizational or broader level, and be excited to work with AI technologies.

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You will develop and execute financial strategies to support Scale growth objectives, including capital raising, strategic and financial planning, and budgeting. You will create internal executive reporting, including close, financial reporting, board, investor reporting, and other management presentations.

You will be a thought partner to all business leaders and help resolve competing business priorities and determine proper investment allocation by department and Business Unit. You will lead the preparation of financial analysis, business insights, and presentation materials for regular financial and business updates to the leadership team.

You will lead, grow, and develop a team of high-performing finance professionals. You will partner with accounting to support month-end close, flux review processes, and deliver high-quality financial reporting.

You will own and create financial models, including forecasting, budgeting, and cash burn analysis. You will determine the appropriate processes, methodologies, variables, and modeling techniques to develop and deliver forecasts. You will develop reports and monitor metrics for forecasting.

You will design, automate, and optimize flexible finance processes to meet the needs of a dynamic and fast-growing business environment. You will partner with cross-functional teams to develop and prioritize strategic initiatives that drive revenue growth, cost optimization, and operational efficiency.

You will own, refine financial systems roadmap in partnership with our Business Transformation team.

Ideal candidates will have a minimum of 4+ years of financial analysis experience working directly in Corporate Finance and Strategic Finance, or a minimum of 4 years working in Investment Banking, Private Equity, Hedge Funds, or Growth Equity Funds.

Deep understanding of B2B SaaS businesses, scaling a technology business, experience improving and streamlining processes, and developing solutions to operational inefficiencies are also required.

Strong knowledge of Google Suite, MS Office, expert Excel modeling skills, and Salesforce are necessary. Strong executive presence and interpersonal skills, ability to lead discussions with the Executive Team, demonstrated ability to lead and grow a high-functioning Finance team, and deliver quality results as a team leader are also required.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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Your responsibilities will include:

• Building and enhancing user-facing AI applications for major enterprise customers, including high-profile media and Fortune 500 companies
• Developing and refining features for Scale's GenAI Platform, empowering businesses to build, deploy, and manage AI-driven agents
• Designing, building, and optimizing polished, high-performance UIs using Next.js, React, TypeScript, and Tailwind
• Working closely with product managers, designers, and AI/ML teams to create seamless, intuitive, and impactful user experiences
• Integrating frontend applications with backend services, working with APIs, authentication systems, and cloud-based infrastructure

In this role, you'll have the opportunity to shape the future of AI-powered user experiences, working on projects that impact millions of users while developing tools that empower businesses to deploy AI at scale.

The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $248,400,$310,500 USD. Compensation packages at Scale include base salary, equity, and benefits. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

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You will become a subject matter expert on all capabilities of the robotics platforms deployed in the factory. You will develop technical domain expertise in areas of 2D and 3D imaging and annotation, multi-sensor fusion and calibration, GPS/INS navigation systems, computer vision, and other autonomy-adjacent concepts.

You have a Bachelor's degree or industry experience, an engineering background, preferably in Computer Science, Mathematics, or other Engineering fields. You have 2+ years of experience developing with Python, C++, Java, and/or other scripting languages. You have 1-3 years of experience in hardware labs or a manufacturing environment. You have experience managing risk and operating robots safely. You have strong project management and interpersonal skills, high attention to detail, and a strong sense of ownership. You have a high level of comfort communicating effectively across internal and external organizations.

Nice to have: hands-on experience in Robotics, AI, and/or Computer Vision, intellectual curiosity, empathy, and ability to operate with a high degree of autonomy, experience building and/or maintaining lab networks and data pipelines, experience running large-scale data collection and controlled experiments, experience building out facilities, and experience in logistics.

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Your customer will be other MLREs and AAIs on the Enterprise AI team who are taking the training algorithms and applying them to client use-cases ranging from next-generation AI cybersecurity firewall LLMs to training foundation healthtech search models.

If you are excited about shaping the future of the modern AI movement, we would love to hear from you!

Key Responsibilities:

• Build, profile and optimize our training and inference framework.
• Post-train state of the art models, developed both internally and from the community, to define stable post-training recipes for our enterprise engagements.
• Collaborate with ML teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.
• Create a next-gen agent training algorithm for multi-agent/multi-tool rollouts.

Ideal Candidate:

• At least 1-3 years of LLM training in a production environment.
• Passionate about system optimization.
• Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
• Ability to demonstrate know-how on how to operate the architecture of the modern GPU cluster.
• Experience with multi-node LLM training and inference.
• Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc.
• Strong written and verbal communication skills to operate in a cross functional team environment.
• PhD or Masters in Computer Science or a related field.

Compensation:

We offer competitive compensation packages, including base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

Benefits:

• Comprehensive health, dental and vision coverage.
• Retirement benefits.
• A learning and development stipend.
• Generous PTO.
• Commuter stipend.

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Our core work consists of creating custom AI applications, generating high-quality training data for custom LLMs, and upskilling and advisory services to spread the impact of AI.

You'll partner with public sector clients to scope, collect feedback, and implement solutions for complex problems. You'll also architect production-grade applications that integrate AI models with full-stack frameworks, manage infrastructure within cloud environments, and contribute to core platform features.

Ideally, you'll have a Bachelor's degree in Computer Science or a related quantitative field, 5+ years of full-stack engineering experience, and proficiency in React, TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB, and hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP.

We're looking for a self-starting approach with technical maturity to navigate ambiguous requirements and deliver reliable software. You'll also need to drive async communication methodologies to reduce communication frictions.

If you're ready to shape the future of AI in the public sector and be a founding member of our team, we'd love to hear from you.

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You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.

Key responsibilities include:

• Owning large new areas within our product
• Working across backend, frontend, and interacting with LLMs and ML models
• Delivering experiments at a high velocity and level of quality to engage our customers
• Working across the entire product lifecycle from conceptualization through production

Ideally, you'd have:

• 4+ years of full-time engineering experience, post-graduation
• Experience scaling products at hyper growth startups
• Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
• Proficient in Python or Javascript/Typescript, and SQL
• Experience with Kubernetes
• Experience with major cloud providers (AWS, Azure, GCP)

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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These initiatives include, but are not limited to, third-party trade show sponsorships, Scale-hosted executive events, Scale-hosted webinars, and our annual GPS flagship conference, Scale AI Base Camp.

As a Field Marketing and Events Associate, you will join a rapidly growing part of the business with the opportunity to support event execution, impact lead generation, and pipeline growth, and contribute to event programming with the largest names in AI.

Responsibilities:

• Support the execution of all planning and logistics for regional (EMEA) conferences and events, including but not limited to: Global Public Sector executive dinners, sponsorship activations, executive speaking engagements, and sponsored conferences.

• Support event sponsorship programs by tracking assets, deliverables, and engagement opportunities across events.

• Assist in coordinating Scale’s annual GPS conference, Scale AI Base Camp, including venue and supplier relations, logistics, and attendee invites.

• Coordinate support for GPS participation in Scale’s annual AI Leadership Summit, focusing on attendee invites and speaker outreach where required.

• Maintain organised event plans, trackers, and internal documentation to ensure smooth execution and visibility across the Global Public Sector team and other business units.

• Partner with Product Marketing and design to help coordinate collateral, signage, digital assets, and other event materials.

• Assist with core operational tasks, including invoicing, expense tracking, and budget monitoring.

• Interface with internal executive teams to support their participation in Scale-hosted events.

Marketing Collaboration & Operations:

• Align with growth marketing on marketing campaigns and event reporting.

• Collaborate cross-functionally with GTM, Product Marketing, Communications, Growth Marketing, Brand, and EPD teams to consistently articulate Scale AI’s vision and value proposition.

• Track event campaign performance and ROI through Salesforce, providing detailed recaps and metrics.

Travel:

• Willingness to travel up to 40% in order to execute on in-person events across international locations.

Ideal Candidate:

• 3+ years of experience in event management, including previous work experience within GCC countries.

• Experience supporting events ranging from 30 to 500+ attendees.

• Strong project management skills with the ability to multi-task while liaising across internal teams and multiple stakeholders.

• Impeccable attention to detail and a proactive, self-starting approach to troubleshooting.

• Strong vendor management skills.

• Must be punctual, professional, reliable, self-motivated, and results-driven.

• Excellent communication skills for interfacing with the world’s leading executives and their teams.

Nice to Haves:

• Native or proficient in Arabic.

• Experience with Hubspot, Salesforce, and project management tools.

• Collaborative attitude and the ability to work effectively across various timezones.

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You will conduct in-depth code reviews, implement security best practices, and influence the overall security strategy. Your expertise in TypeScript, Python, Kubernetes, CI/CD, SAST, DAST, and terraform orchestration will be crucial in identifying and mitigating potential security vulnerabilities.

You will:

• Conduct in-depth code reviews to identify and remediate security vulnerabilities.
• Evaluate and enhance the security of our product offerings, through RFC and service review.
• Implement and maintain CI/CD pipelines with a strong focus on security.
• Perform Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) to identify vulnerabilities in production code.
• Utilize terraform orchestration to ensure secure and efficient infrastructure management.
• Guide engineering teams to build robust long-term solutions that consider security and privacy.
• Clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact.
• Influence the security strategy and direction of the team, advocating for best practices and continuous improvement.

Ideally, you’d have:

• Proven experience as a Security Engineer with a focus on product security.
• Proficiency in NodeJS, TypeScript, Python, and/or Kubernetes.
• Strong understanding of modern Javascript application design.
• Production experience with Kubernetes backed services
• Hands-on experience with SAST and DAST tools and methodologies.
• Familiarity with terraform orchestration for infrastructure management.
• You can structure complex problems and diagnose root causes independently, providing actionable insights without requiring manager input.
• Excellent communication skills, with the ability to clearly present technical concepts and their implications to both technical and non-technical stakeholders.
• Demonstrated ability to influence security strategies and drive improvements within a team.
• Relevant security certifications (e.g., CISSP, CEH, OSCP) are a plus.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of Washington DC/Hawaii is: $205,700-$257,400 USD

The base salary range for this full-time position in the location of St. Louis/Suffolk is: $171,600-$214,500 USD

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In this role, you will:

• Define next-generation AI development tooling and frameworks using products like Cursor, Claude Code, OpenAI Codex, and MS Copilot, as well as in-house custom-built solutions.
• Drive the architecture, design, and implementation of our local development process, build, test, continuous integration, and continuous delivery systems, working closely with stakeholders and internal customers to understand and refine requirements.
• Directly mentor software engineers ranging from new grads to experienced engineers.
• Proactively identify opportunities and drive improvements to software development practices, processes, tools, and languages.
• Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.

Ideally, you'd have:

• 8+ years of full-time engineering experience, post-graduation, with experience in build, test, or CI/CD systems.
• Extensive experience defining and evangelizing best-practices for AI development tools, including cost guardrails, security frameworks, and hosting knowledge-sharing sessions, among others.
• Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).
• Experience configuring, testing, and enabling MCP servers, AI agents, and other associated systems.
• Show a track record of independent ownership of successful engineering projects.
• Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.
• Experience working fluently with standard infrastructure, containerization, and deployment technologies like Terraform, Docker, Kubernetes, etc.
• Experience with modern web frameworks like NodeJS, NextJS, etc.
• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Helm, ArgoCD).

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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You will lead the GRC function at Scale, including compliance governance, compliance advisory, risk management, and regulatory compliance. You will manage and develop a team of compliance professionals spanning governance, assurance, and GRC engineering to build scalable systems and processes.

Key responsibilities include:

• Owning and maturing Scale's Enterprise Risk Management (ERM) program, including risk identification, assessment, mitigation, and reporting.
• Partnering with Legal, Security, Product, Engineering, and Operations, among other teams, to help guide Scale's growth in a highly scrutinized space.
• Owning or contributing to Scale's AI governance strategy, including monitoring and operationalizing emerging AI regulations (EU AI Act, NIST AI RMF, state AI laws).
• Helping set and drive vision for how GRC can not only help protect Scale, but serve as a differentiator and competitive advantage.
• Representing the team with internal and external stakeholders (partners, regulators, etc.).

Ideally, you'd have:

• 10+ years of progressive experience in GRC, compliance, or related legal/regulatory roles, with demonstrated success building or scaling compliance programs.
• Demonstrated success in building and leading high-quality compliance programs and teams.
• Experience designing and operating an Enterprise Risk Management program.
• Deep knowledge of applicable regulatory frameworks, including SOC 2, ISO 27001, FedRAMP, GDPR, and CPRA.
• Experience with U.S. Government contract compliance requirements (FAR, DFARS, NIST 800-171, CMMC).
• Proven track record of designing and maturing governance and internal control environments to support IPO readiness.
• Excellent communicator with the ability to break down complex requirements into easy-to-understand and practical systems.
• Thrive in fast-paced, high-growth environments with ambiguity and competing priorities.
• Love collaborating with talented professionals across many disciplines,product, design, security, engineering, marketing, and more.

Nice to haves:

• Experience with AI governance frameworks and emerging AI regulatory requirements.
• Experience building a compliance team that helped take a company public.
• Deep knowledge of DoD-specific compliance requirements and security frameworks.

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You will be accountable for securing the “technical win” by unblocking technical challenges. You will interact with customers daily to understand their needs and design solutions to better serve them. You will design and develop “Scopes of Work” by breaking down customer challenges into a project plan. You will work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage. You will work with Account Executives and Project Managers to identify customer-specific feature requests. You will drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team.

Ideally, you'd have a strong engineering background with prior experience working with clients in a pre or post-sales capacity to realise business goals. You should have prior experience developing with Python, Java and/or other web development languages. You should have experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement. You should have a track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership. You should have presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers. You should have a high level of comfort communicating effectively across internal and external organisations. You should have intellectual curiosity, empathy, and ability to operate with high velocity.

Nice to haves include GenAI Experience, Forward deployed engineering experience, and Machine Learning Experience.

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Our core work consists of creating custom AI applications, generating high-quality training data for custom LLMs, and upskilling and advisory services to spread the impact of AI.

You'll partner with public sector clients to scope, collect feedback, and implement solutions for complex problems. You'll also architect production-grade applications that integrate AI models with full-stack frameworks, manage infrastructure within cloud environments, and contribute to core platform features.

Ideally, you'll have a Bachelor's degree in Computer Science or a related quantitative field, 5+ years of full-stack engineering experience, and proficiency in React, TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB, Docker, Kubernetes, and Azure/AWS/GCP.

You'll be a self-starting individual with technical maturity to navigate ambiguous requirements and deliver reliable software. You'll also have experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions.

Nice to have: proficient in Arabic, past experience working in a forward-deployed engineer/dedicated customer engineer role, experience working cross-functionally with operations, and experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape.

Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role.

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Key responsibilities include:

• Event planning and execution: coordinating timelines, agendas, sponsorship activations, and on-site or virtual operations
• Event sponsorship programs: tracking assets, deliverables, and engagement opportunities across events and digital placements
• Event logistics: supporting Scale-hosted event logistics, including executive dinners, happy hours, and customer events
• Virtual events: coordinating and supporting Scale's virtual event program (webinars, fireside chats)
• Project management: managing deliverables and tracking progress to ensure projects are delivered on time
• Marketing collaboration: collaborating cross-functionally with GTM, product marketing, communications, growth marketing, brand, and EPD teams to consistently articulate and share Scale AI's vision and value proposition

As a Field Marketing & Events Associate, you will work closely with the Marketing & Communications team to develop and execute event strategies that drive business growth and revenue. You will also have the opportunity to work with senior leaders and stakeholders to understand their needs and develop solutions that meet their expectations.

Requirements include:

• 3+ years of experience in event marketing and marketing campaign management, preferably within the technology sector
• Strong project management skills with the ability to manage multiple projects simultaneously
• Strong vendor management skills
• Previous experience managing third-party relationships and contracts
• Attention to detail and a proactive approach to troubleshooting
• Collaborative and positive attitude, with the ability to work across teams, including executive leadership
• Excellent written and verbal communication skills for interacting with executives and their teams

Nice to have:

• Experience with CMS and other sales/marketing platforms (SFDC, Hubspot, Outreach, and virtual event platforms, etc.)
• Previous experience at a high-growth startup or technology company (AI is plus)

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You will lead the content and social strategy for Scale Labs' dedicated online presence, taking a research-native approach that earns attention and credibility from the AI community. You will build and maintain competitive intelligence and a sharp point of view on the data market, arming the team with differentiated positioning as the market evolves.

You will partner with Scale Labs researchers to amplify published work - leaderboards, benchmarks, and research papers - and translate it into pipeline and demand generation for the GenAI business. You will develop go-to-market strategies for new data offerings and modalities, working closely with product and sales to drive awareness and build market momentum.

You will collaborate cross-functionally with sales, engineering, and research to ensure consistent, compelling messaging across every customer touchpoint.

Ideally, you'd have 5+ years of experience in product marketing, with a track record of marketing technical products to developer or research audiences. You should have strong technical fluency and passion for AI, with the ability to hold a credible conversation about AI/ML fundamentals, training, and the role of data quality in model performance.

You should also have experience building social-native content and community strategies on platforms like X, with an instinct for what resonates with technical practitioners. You should have excellent written communication and storytelling skills, with the ability to make complex technical concepts compelling without oversimplifying them.

Nice to haves include familiarity with the AI training data market, or adjacent data and infrastructure spaces, as well as an existing network or relationships within the AI research community.

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As a Solutions Engineer, you will be part of helping shape our early-stage federal business by re-envisioning our commercial product offerings for our federal clients.

Key responsibilities include:

• Becoming an expert on the end-to-end of Scale Products
• Creating tailored demonstrations and collateral for federal stakeholders at both the executive and analyst level
• Partnering with Scale Account Executives to deliver customer pilots according to requirements agreed by the customer
• Integrating and ingesting a variety of external datasets to solve government use cases
• Interacting with customers on a day-to-day basis to understand their pain points and design solutions
• Working with internal product and engineering teams to turn customer requirements into Scale capabilities
• Understanding public sector mission sets and strategic objectives to better showcase Scale's products

Ideal candidates will have:

• A strong engineering background, preferably in computer science, mathematics, or other quantitative fields
• Strong communication skills, ability to interact with both technical and non-technical customers at all levels
• At ease with technology, able to quickly pick up new tech stacks and troubleshoot
• Previous experience working with Public Sector customers
• Proficiency in scripting languages such as Python, Javascript/Typescript, Bash scripts, or programming languages
• A strong desire to roll up your sleeves and help build a business in an extremely fast-paced environment
• Active US Government Security Clearance (TS / SCI required)
• Based in the Washington, DC area or willing to relocate
• Background working in AI/ML, particularly Generative AI and Large Language Models

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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Location: San Francisco, CA

At Scale, we're developing reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.

We're looking for a Robotics Quality Lead I to join our team. As a Robotics Quality Lead I, you will hold primary accountability for the facility's performance during your assigned shift. This role ensures the seamless integration of human capital, robotic systems, and data integrity.

Responsibilities:

Organizational Leadership - Direct Span of Control:

• Provide strategic and tactical direction across all roles on the shift including Operations Specialists, Technicians, and Data Collectors.

Employee Experience & Advocacy:

• Serve as the guardian of the workplace experience. Proactively identify the demands and requirements of the shift staff, transforming feedback into actionable initiatives that enhance operational ergonomics, engagement, and overall workplace satisfaction.

Mentorship:

• Utilize structured 1:1 coaching sessions as the primary mechanism to discuss career path, provide performance feedback, and prepare career paths for operators and supervisors.

Operational Excellence & Metric Accountability:

• Maintain full accountability for shift-level performance in Safety, Quality, Productivity, and Cost.

• Partner with the Robotics Technical team to ensure maximum equipment uptime. Serve as the primary escalation point for any operational disruptions, ensuring rapid resolution to maintain data collection targets.

• Oversee complex labor planning and headcount allocation, ensuring that all team members are effectively deployed against the site's daily objectives.

Advanced Data Analysis & Problem Solving:

• Execute analysis of shift performance data. The Shift Lead must demonstrate the ability to identify statistical outliers and performance trends, translating raw data into technical or behavioral insights.

• Lead formal Root Cause Analysis (RCA) processes (e.g., 5-Whys, Fishbone) to address complex operational variances and implement preventive measures to ensure long-term stability.

Stakeholder Collaboration:

• Collaborate daily with Quality Management, Engineering, and on-site Maintenance teams to synchronize efforts. Facilitate formal shift handovers to ensure the precise transfer of critical information and operational status between leadership teams.

Ideal Candidate:

• Experience: 3+ years in high-volume manufacturing, automated logistics, or technical operations. Significant leadership capacity managing large-scale teams

• Analytical Expertise: Advanced proficiency in operational data analysis and the use of business intelligence tools to drive informed decision-making.

• Methodological Rigor: Expert knowledge of Lean Manufacturing principles and standardized problem-solving frameworks.

• Education: Bachelor’s degree in Industrial Engineering, Robotics, Mechanical/Electrical Engineering, or a related technical field; alternatively, an equivalent combination of education and extensive industry experience will be considered.

• Communication: Exceptional verbal and written communication skills in both English and Spanish, with the ability to present complex operational reports to executive leadership.

Salary and Benefits:

• Compensation packages at Scale for eligible roles include base salary, equity, and benefits.

• The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

• Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval.

• You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

Additional Benefits:

• This role may be eligible for additional benefits such as a commuter stipend.

Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.

We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.

We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com.

Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates.

We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws.

Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Please see our privacy policy for additional information.

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Key Responsibilities:

• Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities.
• Design and experiment new approaches to preference optimization.
• Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness.
• Publish research findings in top-tier AI conferences.

Ideal Candidate:

• Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field.
• Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning.
• Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning.
• Excellent written and verbal communication skills
• Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
• Previous experience in a customer-facing role.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. You’ll also receive benefits including, but not limited to: comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $237,600-$297,000 USD. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado, Hawaii is: $213,400-$267,300 USD

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Your responsibilities will include:

• Owning and architecting large-scale data processing pipelines for robotics and autonomous vehicle datasets
• Building ML training and fine-tuning pipelines using Scale's robotics data
• Working across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions
• Developing tools and systems for robotics data collection, teleoperation, and model evaluation
• Interacting directly with robotics and AV stakeholders to understand their technical needs and drive product development
• Building real-time systems for robotic control, sensor fusion, and perception pipelines
• Designing comprehensive monitoring and evaluation frameworks for robotics models and data quality
• Collaborating with ML engineers and researchers to bring robotics research into production
• Delivering features at high velocity while maintaining system reliability and performance

Ideally, you have:

• 3+ years of software engineering experience in robotics, autonomous vehicles, or related fields
• Strong programming skills in Python and TypeScript/Node.js for production systems
• Experience with React and modern frontend development for 3D interfaces
• Practical experience with robotics frameworks (ROS/ROS2), simulation environments, or AV systems
• Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)
• Experience with databases (MongoDB, PostgreSQL) and data processing at scale
• Track record of working with cross-functional teams including ML engineers, researchers, and customers
• Strong communication skills and ability to operate with high autonomy

Nice to have:

• Experience with C++
• Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization
• Background in computer vision, SLAM, motion planning, or imitation learning
• Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing
• Experience with ML model deployment and serving frameworks
• Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces
• Experience with workflow orchestration systems (Temporal, Airflow)
• Published research or open-source contributions in robotics or autonomous systems

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Your primary responsibilities will include:

• Driving research on the effectiveness and limitations of existing LLM evaluation techniques.
• Designing and developing novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness.
• Communicating, collaborating, and building relationships with clients and peer teams to facilitate cross-functional projects.
• Collaborating with internal teams and external partners to refine metrics and create standardized evaluation protocols.
• Implementing scalable and reproducible evaluation pipelines using modern ML frameworks.
• Publishing research findings in top-tier AI conferences and contributing to open-source benchmarking initiatives.
• Mentoring and guiding research scientists and engineers, providing technical leadership across cross-functional projects.
• Staying deeply engaged with the ML research community, tracking emerging work and contributing to the advancement of LLM evaluation science.

The ideal candidate will have 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development.

You will thrive in a high-energy, fast-paced startup environment and be ready to dedicate the time and effort needed to drive impactful results.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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You will provide tactical direction across all collection roles on the shift, serve as the guardian of the workplace experience, and identify the demands and requirements of the shift staff.

Key responsibilities include maintaining full accountability for shift-level performance in Quality, ensuring data collection is staged for success with minimal Collector overhead, and serving as the primary escalation point for any operational disruptions.

Additionally, you will become an expert in understanding customer needs and the operational implementation required to deliver them, ensure Collection team is meeting these expectations, and execute analysis of quality, diversity, and distribution data.

Ideal candidates will have experience in high-volume manufacturing, automated logistics, or technical operations, analytical expertise, methodological rigor, and exceptional verbal and written communication skills in both English and Spanish.

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Your responsibilities will include:

• Defining next-generation AI development tooling and frameworks using products like Cursor, Claude Code, OpenAI Codex, and MS Copilot, as well as in-house custom-built solutions.
• Driving the architecture, design, and implementation of our local development process, build, test, continuous integration, and continuous delivery systems, working closely with stakeholders and internal customers to understand and refine requirements.
• Directly mentoring software engineers ranging from new grads to experienced engineers.
• Proactively identifying opportunities and driving improvements to software development practices, processes, tools, and languages.
• Presenting technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.

Ideally, you'd have:

• 4+ years of full-time engineering experience, post-graduation, with experience in build, test, or CI/CD systems.
• Extensive experience defining and evangelizing best-practices for AI development tools, including cost guardrails, security frameworks, and hosting knowledge-sharing sessions, among others.
• Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).
• Experience configuring, testing, and enabling MCP servers, AI agents, and other associated systems.
• A track record of independent ownership of successful engineering projects.
• Excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.
• Experience working fluently with standard infrastructure, containerization, and deployment technologies like Terraform, Docker, Kubernetes, etc.
• Experience with modern web frameworks like NodeJS, NextJS, etc.
• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Helm, ArgoCD).

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

This role may be eligible for additional benefits such as a commuter stipend.

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You will design data models, prototype internal tools, and implement agent-driven workflows using our internal data infrastructure, system integration tooling, Scale's proprietary AI platform, and emerging AI tools.

Key responsibilities include designing and developing end-to-end agent-driven workflows, building scalable data models and pipelines, partnering with stakeholders to translate business requirements into technical requirements, and collaborating with engineering teams to develop internal tools.

Ideal candidates will have 5+ years of experience in data analytics, analytics engineering, or data science roles, expert knowledge of SQL and Python, and experience building internal tools, automation systems, or data products.

Compensation packages at Scale include base salary, equity, and benefits, with a base salary range of $200,000-$250,000 USD for this full-time position in San Francisco.

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We are looking for an entrepreneurial and experienced product leader to play a pivotal role in the ideation and development of transformative AI solutions.

As a Product Manager of AI Applications, you will be responsible for owning large AI projects for one or many customers, leading a cross-functional team of engineers, MLEs, and operators to build a highly impactful solution for our customers.

Key responsibilities include:

• Leading design workshops with clients to define custom AI solutions
• Scoping out new AI application use cases across various government entities
• Leading cross-functional development of AI applications and custom LLMs with diverse stakeholders
• Engaging with future end-users to solicit feedback and ensure effective prioritization

Minimum qualifications include:

• 4+ years of experience building products with specific experience within the last 1-2 years building AI-powered products
• Strong technical background (STEM degree) and/or experience building technical software products
• Strong understanding of generative AI technologies and their applications in both enterprise and consumer settings
• Experience with vibe coding tools (i.e., Replit, Lovable, Bolt, etc.) and design tools (i.e., Figma/Canva/Miro)

Nice to have:

• Coding experience (Python)
• Proficiency in Arabic, both written and spoken

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In this role, you will:

• Build & Scale: Maintain fault-tolerant, high-performance systems for serving robotics-related models and foundation models at scale, ensuring low latency for real-time applications.
• Platform Development: Build an internal platform to empower model capability discovery, enabling faster iteration cycles for research teams working on robotics.
• Collaborate: Work closely with Robotics researchers and Computer Vision engineers to integrate and optimize models for production and research environments.
• Design Excellence: Conduct architecture and design reviews to uphold best practices in system scalability, reliability, and security.
• Observability: Develop monitoring and observability solutions to ensure system health and real-time performance tracking of model inference.
• Lead: Own projects end-to-end, from requirements gathering to implementation, in a fast-paced, cross-functional environment.

Ideally, you'd have:

• Experience: 4+ years of experience building large-scale, high-performance backend systems, with deep experience in machine learning infrastructure.
• Algorithm Optimization: Deep experience optimizing computer vision and other machine learning algorithms for cloud environments, including GPU-level algorithm optimizations (e.g., CUDA, kernel tuning).
• Programming: Strong skills in one or more systems-level languages (e.g., Python, Go, Rust, C++).
• Systems Fundamentals: Deep understanding of serving and routing fundamentals (e.g., rate limiting, load balancing, compute budgets, concurrency) for data-intensive applications.
• Infrastructure: Experience with containers (Docker), orchestration (Kubernetes), and cloud providers (AWS/GCP).
• IaC: Familiarity with infrastructure as code (e.g., Terraform).
• Mindset: Proven ability to solve complex problems and work independently in fast-moving environments.

Nice to Haves:

• Exposure to Vision-Language-Action (VLA) models.
• Knowledge of high-performance video processing (e.g., FFmpeg, NVDEC/NVENC) or 3D data handling (point clouds).
• Familiarity with robotics middleware (e.g., ROS/ROS2) or AV data formats.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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You will:

• Provide strategic and tactical direction to a shift organization of 100 people, including Operations Supervisors, Robotics Technicians, and Data Collection Associates.
• Serve as the guardian of the workplace experience, proactively identifying the demands and requirements of the shift staff, transforming feedback into actionable initiatives that enhance operational ergonomics, engagement, and overall workplace satisfaction.
• Utilize structured 1:1 coaching sessions as the primary mechanism to discuss career path, provide performance feedback, and prepare career paths for operators and supervisors.
• Maintain full accountability for shift-level performance in Safety, Quality, Productivity, and Cost.
• Partner with the Robotics Technical team to ensure maximum equipment uptime, serving as the primary escalation point for any operational disruptions, ensuring rapid resolution to maintain data collection targets.
• Oversee complex labor planning and headcount allocation, ensuring that all team members are effectively deployed against the site's daily objectives.

Ideally, you'd have:

• Experience: 6+ years in high-volume manufacturing, automated logistics, or technical operations.
• Analytical Expertise: Advanced proficiency in operational data analysis and the use of business intelligence tools to drive informed decision-making.
• Methodological Rigor: Expert knowledge of Lean Manufacturing principles and standardized problem-solving frameworks.
• Education: Bachelor's degree in Industrial Engineering, Robotics, Mechanical/Electrical Engineering, or a related technical field; alternatively, an equivalent combination of education and extensive industry experience will be considered.
• Communication: Exceptional verbal and written communication skills in both English and Spanish, with the ability to present complex operational reports to executive leadership.

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You will work closely with Scale’s ML teams and researchers to build the foundation platform which supports all our ML research and development works. You will be building and optimising the platform to enable our next generation LLM training, inference and data curation.

Key responsibilities include:

• Building, profiling and optimising our training and inference framework.
• Collaborating with ML and research teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.
• Researching and integrating state-of-the-art technologies to optimise our ML system.

The ideal candidate will have:

• Passionate about system optimisation.
• Experience with multi-node LLM training and inference.
• Experience with developing large-scale distributed ML systems.
• Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
• Strong software engineering skills, proficient in frameworks and tools such as CUDA, PyTorch, transformers, flash attention, etc.

Nice to haves include demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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Your mission is threefold:

• Frontier Research & Publication: Leading research into LLM/agent capabilities, reasoning, and safety, with the goal of publishing at top-tier venues (NeurIPS, ICML, ICLR).
• Cross-Org Impact: Developing generalised techniques in Agent design, AI Safety and Deep Research agents that scale across our commercial and government platforms.
• Mission-Critical Applications: Engineering high-stakes AI systems that impact millions of citizens globally.

You will:

• Pioneer Novel Architectures: Design and train state-of-the-art models and agents, moving beyond “off-the-shelf” solutions to create custom architectures for complex public sector reasoning tasks.
• Lead AI Safety Initiatives: Research and implement robust safety frameworks, including red teaming, alignment (RLHF/DPO), and bias mitigation strategies essential for sovereign AI.
• Drive Deep Research Capabilities: Develop agents capable of long-horizon reasoning and autonomous information synthesis to solve complex problems for national security and public policy.
• Publish and Contribute: Represent Scale in the broader research community by publishing high-impact papers and contributing to open-source breakthroughs.
• Consult as a Subject Matter Expert: Act as a technical authority for public sector leaders, advising on the theoretical limits and safety requirements of emerging AI.
• Build Evaluation Frontiers: Create new benchmarks and evaluation protocols that define what success looks like for high-stakes, non-commercial AI applications.

Ideally, you’d have:

• Advanced Degree: PhD or Master’s in Computer Science, Mathematics, or a related field with a focus on Deep Learning.
• Research Track Record: A portfolio of first-author publications at major conferences (NeurIPS, ICML, CVPR, EMNLP, etc.).
• Engineering Rigour: Strong proficiency in Python, deep learning frameworks (PyTorch/JAX), with the ability to write production-ready code that scales.
• Safety Expertise: Experience in alignment, robustness, or interpretability research.

Nice to haves:

• Experience with large-scale distributed training on massive clusters.
• Experience in building agentic systems that are reliable.
• Experience in Sovereign AI or working with highly regulated data environments.
• A zero-to-one mindset: Comfortable navigating ambiguity and defining research directions from scratch.

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In this role, you'll interact directly with robotics and AV stakeholders to understand their technical needs and drive product development. You'll also design comprehensive monitoring and evaluation frameworks for robotics models and data quality, and collaborate with ML engineers and researchers to bring robotics research into production.

To succeed, you'll need at least 6 years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems. You should have strong programming skills in Python and TypeScript/Node.js for production systems, experience with React and modern frontend development for 3D interfaces, and concurrent and real-time systems expertise.

We're looking for someone who can deliver features at high velocity while maintaining system reliability and performance, and has a track record of working with cross-functional teams including ML engineers, researchers, and customers. Strong communication skills and the ability to operate with high autonomy are essential.

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As Director of Enterprise ML, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You’ll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery.

This role is ideal for a leader who thrives in ambiguity, understands both frontier GenAI capabilities and their limitations, and is motivated by turning research into durable, production-ready systems.

Key responsibilities include:

• Leading, mentoring, and growing a team of research scientists and engineers working on GenAI research initiatives
• Defining and driving a multi-year research roadmap, identifying key scientific questions, setting milestones, allocating resources, and ensuring rigorous execution
• Collaborating cross-functionally with engineering, product, client-facing teams, and external academic or industry partners to translate research into components, insights, and actionable outcomes
• Communicating compellingly, publishing research, presenting at conferences, engaging in open-source contributions, and representing the team externally
• Driving an inclusive, high-performing culture, helping your team through technical challenges, providing growth opportunities, and attracting top talent

Core qualifications include:

• 8+ years of hands-on research experience in machine learning, deep learning, generative models, agent/RL systems, or related domains
• A strong track record of research excellence, including publications in top-tier ML/AI venues
• Experience leading or managing research teams
• Excellent written and verbal communication skills

Nice-to-have qualifications include:

• Hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments
• Prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale
• Proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes

Compensation packages at Scale include base salary, equity, and benefits, with a salary range of $289,800-$362,250 USD for this full-time position in San Francisco, New York, and Seattle.

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You will play a crucial role in ensuring our on-site technical facilities operate smoothly while coordinating resource usage and providing hands-on support to remote engineering teams.

These engineers will gain a deep understanding of our physical infrastructure and technical facilities, enabling them to effectively install, configure, and maintain critical systems when needed.

A critical aspect of this role will be coordinating access to shared technical resources and serving as the on-site point of contact for remote engineers who need physical changes performed, transforming currently manual coordination processes into a more streamlined and efficient workflow.

Responsibilities:

• Install, configure, and maintain robot stations and related technical equipment on-site.
• Manage and maintain server infrastructure, workstations, and computing equipment in our facilities.
• Oversee network installations, including routers and cabling infrastructure.
• Coordinate access to technical facilities, maintaining schedules and ensuring orderly usage of shared resources.
• Establish and enforce safety protocols and usage guidelines for technical facilities.
• Provide hands-on support to remote engineers, performing physical changes and configurations as requested.
• Troubleshoot hardware, network, and connectivity issues, ensuring minimal disruption to operations.
• Document infrastructure configurations, changes, and maintenance procedures to ensure maintainability and knowledge transfer.
• Proactively identify maintenance needs and capacity constraints to prevent issues before they arise.
• Drive standardization and foster collaboration across different teams to achieve efficient facility usage.

Ideally you'd have:

• 5+ years of experience as an IT Technician, Field Engineer, Facilities Technician, or similar hands-on technical role.
• Proven track record of installing and maintaining server hardware and workstations.
• Experience configuring and troubleshooting network infrastructure and physical installation work.
• Experience coordinating shared resources or facilities, managing schedules and access.
• Familiarity with Linux, Windows and MacOS.
• Knowledge of Python/C++, scripting, and command line (cmd/bash) operations.
• Basic understanding of electrical systems for robot stations and equipment.
• Comfort with rapidly changing, fast-paced environments and a passion for finding solutions to complex physical infrastructure problems.
• Basic understanding of safety protocols and an eagerness to integrate them into facility operations.
• A hunger for learning new technologies, particularly in the realm of robotics and automated systems.
• Strong problem-solving, analytical, collaboration, and communication skills.

Nice to haves:

• Experience with robotics systems or automated equipment.
• Exposure to industrial charging systems or battery management systems.
• Prior experience in facility management or lab coordination.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions.

We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.

We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com.

Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates.

We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws.

Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

Please see our privacy policy for additional information.

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Your work will directly evolve how we operate and measure our growth strategies, funnels, and pipelines. You will be responsible for building scalable data assets, adding contextual layers to data, and providing insights and conclusions to stakeholders.

To succeed in this role, you will need to be detail-oriented, rigorous about validating results, and talented at distilling down complexity. You will also need to love tackling and solving hard problems.

In addition to building scalable data assets, you will also be responsible for partnering with Data Engineers, Data Scientists, and cross-functional stakeholders to develop business metrics to understand our current performance and influence our roadmaps.

If you have 3+ years of industry experience in a highly analytical role, a degree in a quantitative field, and expert-level proficiency in writing complex SQL queries, we encourage you to apply.

As a Senior Data Analyst at Scale, you will have the opportunity to work with a talented team of professionals and contribute to the development of reliable AI systems for the world's most important decisions.

The ideal candidate will have excellent communication and presentation skills to executives, expertise at defining the right metrics, and diagnosing and understanding data inconsistencies.

Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors.

You'll also receive benefits including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

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Responsibilities: Perform quantitative analyses to assist Leadership with key projects Conduct market benchmarking to determine pay targets and support business growth Contribute to the research, design, and delivery of compensation programs Support international expansion and M&A initiatives Collaborate with the Recruiting team on offer escalations and process optimization Develop and maintain tools to enhance efficiency of programs Build and integrate AI into Comp workflows Drive clarity, transparency, and understanding of compensation at Scale

Requirements: 6+ years experience on Compensation teams Experience with compensation programs, benchmarking, and market pricing. Experience with Radford and Pave is a plus. Ability to analyze large datasets and draw actionable insights Comfort working in a ultra fast paced environment Eagerness to build, learn, and grow

Nice to haves: Understanding of international compensation practices and regulatory environments Experience with pre-IPO equity programs Familiarity with AI tools (if not, we will teach you!)

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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Your responsibilities will include:

• Developing systems for collecting data from various robotics embodiments and collection modalities
• Designing and building hardware for retrofitting robots and building custom collection modalities
• Contributing to the development of pipelines and tooling to support robotics initiatives
• Owning hardware and software integrations for various robots
• Partnering with cross-functional stakeholders to scale up data services
• Providing technical support for data collection operations and executing on pilots to stand up new workflows
• Becoming a subject matter expert on all capabilities of the robotics labs

You will have the opportunity to develop technical domain expertise in areas of 2D and 3D imaging and annotation, multi-sensor fusion and calibration, computer vision, machine learning, and other autonomy-adjacent concepts.

We're looking for someone with a strong engineering background, preferably in Computer Science, Mathematics, or other Engineering fields. You should have 3+ years of experience developing with Python, C++, Java and/or other scripting language, as well as 1-3 years of experience in hardware labs or a manufacturing environment, 1-3 years of experience in mechanical design and comfort with CAD, hands-on experience in robotics, AI, and computer vision, experience building and/or maintaining lab networks and data pipelines, experience running large-scale data collection and controlled experiments, experience managing risk and operating robots safely, strong project management and interpersonal skills, high attention to detail, and a strong sense of ownership.

As a Robotics Engineer at Scale, you will have the opportunity to work with a talented team of engineers and researchers to develop cutting-edge robotics solutions. You will be responsible for designing, building, and testing robotics systems, as well as collaborating with cross-functional teams to integrate robotics into our data collection and analysis pipeline.

We offer a competitive salary range of $208,800-$261,000 USD, as well as a comprehensive benefits package, including health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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We're seeking a Tech Lead Manager to lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs.

Key responsibilities:

• Lead a team of highly effective research scientists and research engineers on LLM evals.
• Conduct research on the effectiveness and limitations of existing LLM evaluation techniques.
• Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness.
• Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects.
• Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols.
• Implement scalable and reproducible evaluation pipelines using modern ML frameworks.
• Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives.

Ideal candidate has 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development. Experience supporting and leading a team of research scientists and research engineers is also required.

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We develop bespoke solutions that leverage our customers’ proprietary data and expertise to transform their organisations with AI. We work with them to understand their pain points and workflows and then forward deploy our team to build cutting-edge solutions. The applications we build are powered by the Scale GenAI Platform, a full stack product to build, test and deploy frontier AI agents.

Responsibilities:

• Lead design workshops with the client to define custom AI solutions
• Scope out new AI application use cases across various government entities
• Lead cross-functional development of AI applications and custom LLMs with diverse stakeholders (Engineering + Ops + Go-to-Market)
• Consistently engage with future end-users to solicit feedback and ensure we are prioritising effectively
• Stay up to date with latest research in applied AI and training custom LLMs
• Scope out model evaluation sets and performance requirements, consistently review results, and iterate on the solution
• Give regular progress updates to the client and Global Public Sector leadership

Minimum Qualifications:

• 4+ years of experience building products with specific experience within the last 1-2 years building AI-powered products
• Strong technical background (STEM degree) and/or experience building technical software products
• Strong understanding of generative AI technologies and their applications in both enterprise and consumer settings
• Experience with vibe coding tools (i.e., Replit, Lovable, Bolt, etc.) and design tools (i.e., Figma/Canva/Miro)

Nice to haves:

• Coding experience (Python)
• Proficiency in Arabic, both written and spoken

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As a Support Specialist, you will independently handle a broad range of contributor support issues, including moderately complex and nuanced cases requiring sound judgment, investigation, and clear communication.

You will work cross-functionally to ensure contributors receive accurate, timely, and thoughtful support while helping identify opportunities to improve workflows and documentation.

This role is well-suited for experienced support professionals who are comfortable operating autonomously and navigating ambiguity in a fast-paced environment.

Responsibilities:

• Resolve routine and moderately complex contributor inquiries across email and chat support channels using established workflows and best judgment.

• Communicate clearly, empathetically, and professionally.

• Document investigations, actions taken, and resolutions thoroughly in Zendesk or equivalent systems.

• Identify issues outside the tier’s scope and escalate with clear context and documentation.

• Contribute feedback on workflows, macros, or documentation to improve efficiency and contributor experience.

• Stay current on relevant process and product updates through the provided resources.

Ideally You’d Have:

• Prior experience in high-volume customer support, platform support, or similar.

• Experience working remotely, with demonstrated ability to manage work independently and prioritize tasks without direct supervision.

• Strong written and verbal English communication skills, with the ability to communicate clearly and professionally.

• Familiarity with customer service SaaS tools, Slack, and Google Workspace.

Working Model & Tools:

• This is an independent contractor role, responsible for providing agreed-upon services and deliverables for an estimated six-month term.

• Company equipment will be provided during the engagement.

• Collaborates asynchronously with internal teams as needed.

Benefits:

• Continued engagement or potential conversion to full-time employment may be considered at the company’s discretion, based on performance and business needs.

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Your work will directly contribute to Scale AI’s growth, shaping the future of artificial intelligence. In this role, you will be working on various types of projects, including but not limited to: research experiments, dataset generation, data quality improvements, and in-depth technical analysis.

You will tackle complex, technical and operational challenges while collaborating closely with Scale’s ML research scientists and SPM team.

The ideal candidate is analytical, detail-oriented, and results-driven, with strong problem-solving abilities and excellent communication skills.

We are looking for someone who thrives in a fast-paced environment, is proactive in overcoming challenges, and is committed to delivering exceptional outcomes.

If you are eager to contribute to the forefront of AI innovation, we encourage you to apply.

Responsibilities:

• Design and execute research experiments
• Build and evaluate frontier LLM datasets
• Develop training and testing material for frontier pipelines
• Improve quality of existing and new products

Ideally you’d have:

• Strong machine learning knowledge, either by being in the final years of a ML PhD career or having already graduated
• Strong writing and verbal communication skills
• An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results
• Analytical, planning, and process improvement capability
• Experience working in a fast-paced, entrepreneurial environment
• Technical skills including familiarity with Python, GPU, AWS, API, LLM, ML, and SQL

Pay: $60-80/hr

Commitment: This is a fully remote, US-based part-time (10-20 hours per week), on-going contract position staffed via HireArt.

HireArt values diversity and is an Equal Opportunity Employer. We are interested in every qualified candidate who is eligible to work in the United States. Unfortunately, we are not able to sponsor visas, including CPT/OPT or employ corp-to-corp.

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Your primary responsibilities will include implementing end-to-end data integrations, syncing customer's data to Scale's platform and back, and working closely with our customer's engineering teams to optimize data pipelines. You will also design, develop and maintain playbooks, internal tools, Scale's documentation and SDKs to quickly get customers set up for long-term success.

In addition, you will partner with Software Engineers and Operations to remove any technical hurdles customers may face, debug technical issues impacting delivery and own technical escalations coming from the customer. You will be accountable for the customer's technical experience throughout their time with Scale.

The ideal candidate will have a track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way. Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals is also required.

We offer a competitive compensation package, including base salary, equity, and benefits. The base salary range for this full-time position is $190,000-$290,000 USD in San Francisco, New York, and Seattle, $170,000-$260,000 USD in Hawaii, Washington DC, Texas, and Colorado, and $140,000-$220,000 USD in St. Louis.

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For example, you might do any or all of the following:

• Design and build harnesses to test AI models and systems (including agents) for dangerous capabilities such as security vulnerability exploitation, CBRN uplift, and other high-risk activities;

• Work with government agencies or other labs to collectively scope and design evaluations to measure and mitigate risks posed by advanced AI systems;

• Publish evaluation methodologies and write technical reports for policymakers.

We are seeking talented researchers to join us in shaping this vision.

Ideally you'd have:

• Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance;

• Practical experience conducting technical research collaboratively. You should be comfortable building and instrumenting ML pipelines, writing evaluation harnesses, and quickly turning new ideas from the research literature into working prototypes;

• A track record of published research in machine learning, particularly in generative AI;

• At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development;

• Strong written and verbal communication skills to operate in a cross-functional team.

Nice to have:

• Experience in crafting evaluations and benchmarks, or a background in data science roles related to LLM technologies;

• Experience with red-teaming or adversarial testing of AI systems;

• Familiarity with AI safety policy frameworks (e.g., NIST AI RMF, EU AI Act, Korea AI Basic Act).

Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organisational culture. We will not ask any LeetCode-style questions. If you’re excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn’t perfectly align with every requirement.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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Key responsibilities include: Collaborating closely with Robotics customers to drive the industry forward in using VLA data Developing ML pipelines to train/fine-tune models using Scale's data Conducting research on robotics data collection, cross-embodiment training, and policy fine-tuning Developing novel methods for evaluating VLA models, including new robotics industry benchmarks Partnering with cross-functional stakeholders and Scale's customers to improve data collection Collaborating with product teams to bring ML outcomes to Scale's platform

You'll have: Practical experience building training VLA models and/or building robotics data 3+ years of relevant industry experience in areas relating to: robotics, computer vision, embodied AI, sim-to-real, imitation learning, reinforcement learning, and vision language actions models PhD or equivalent experience in Machine Learning or Robotics A track record of published research in robotics Experience conducting data collection and performing evaluations Strong written and verbal communication skills and the ability to work with cross-functional teams and customers Intellectual curiosity, empathy, and ability to operate with a high degree of autonomy

Nice to haves: Experience working with robotics hardware platforms (robotic arms, perception systems, etc.) Experience deploying machine learning models on robotic systems in the field Experience with teleoperated or human-driven data for robotics (ALOHA, UMI, hand tracking, etc.)

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Responsibilities

• Own major full-stack product areas, driving features from design through production deployment.
• Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness.
• Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components.
• Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences.
• Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers.
• Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP.
• Adapt quickly,learning new technologies, frameworks, and tools as needed across the stack.

Ideal Experience

• 5+ years of full-time engineering experience, post-graduation.
• Strong experience developing full-stack applications using React, TypeScript, and Python.
• Experience scaling or shipping products at high-growth startups.
• Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome).
• Proficiency with SQL and modern API development.
• Experience with Kubernetes, containerization, and microservice architectures.
• Experience working with at least one major cloud provider (AWS, GCP, or Azure).

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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Key responsibilities include:

• Serving as the full owner of our most visible and high impact customer pipelines, making decisions that directly impact data quality, operational efficiency, revenue, and margins
• Understanding customer requirements and designing data taxonomy best suited to improving model performance based on customer needs
• Building out pipeline infrastructure to ensure quality and efficiency
• Training, coaching, and managing dynamic and global teams
• Building analytics to make data-driven decisions
• Partnering with diverse stakeholders (Engineering + Product + Ops + Go-to-Market) to work on problems that will drive advancements for the largest LLMs in the world

You will have:

• A strong technical background, with a degree in Machine Learning Engineering, Computer Science, or Software Engineering
• 3+ years of experience leading a team/projects, managing operational processes, or 3+ years of experience as a SWE
• Strong problem-solving capabilities in technical environments, with the ability to come up with creative solutions to complex, ambiguous, operational, and technical problems
• Entrepreneurial experience and mindset, with a passion for building things from scratch and identifying issues and executing quickly

Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role.

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Key responsibilities include:

• Owning the creation of model evaluation from initial hypothesis, data scraping to final publication.
• Deeply analysing why the model failed and identifying semantic patterns, edge cases, and systemic hallucinations in raw model outputs.
• Reviewing raw data sets, meeting transcripts, and research notes to identify the 'so what' and turning these findings into a logical hierarchy.
• Acting as the bridge between the data and the narrative by structuring findings into a logical hierarchy where the most critical 'hook' lands first, followed by the supporting evidence.

As a successful candidate, you will have 5-10 years of experience in DS, ML, AI research and analysis, be a structured thinker, have a high tolerance for ambiguity, and possess executive presence. Experience in Model Evaluation, ML Engineering or Technical Research is a plus.

This role offers a competitive compensation package, including base salary, equity, and benefits. The base salary range for this full-time position in San Francisco is $205,600-$257,000 USD.

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The ideal candidate combines strong ML fundamentals with deep expertise in backend system design. You’ll work in a highly collaborative environment, bridging research and engineering to deliver seamless experiences to our customers and accelerate innovation across the company.

Responsibilities:

• Build and maintain fault-tolerant, high-performance systems for serving LLM workloads at scale.
• Build an internal platform to empower LLM capability discovery.
• Collaborate with researchers and engineers to integrate and optimize models for production and research use cases.
• Conduct architecture and design reviews to uphold best practices in system design and scalability.
• Develop monitoring and observability solutions to ensure system health and performance.
• Lead projects end-to-end, from requirements gathering to implementation, in a cross-functional environment.

Ideally you’d have:

• 5+ years of experience building large-scale, high-performance backend systems.
• Strong programming skills in one or more languages (e.g., Python, Go, Rust, C++).
• Experience with LLM serving and routing fundamentals (e.g. rate limiting, token streaming, load balancing, budgets, etc.).
• Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt templates, etc.
• Experience with containers and orchestration tools (e.g., Docker, Kubernetes).
• Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform).
• Proven ability to solve complex problems and work independently in fast-moving environments.

Nice to haves:

• Experience with modern LLM serving frameworks such as vLLM, SGLang, TensorRT-LLM, or text-generation-inference.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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Our core work consists of building custom AI applications that will impact millions of citizens and government employees, generating high-quality training data for custom LLMs, and upskilling and AI advisory services to spread the impact of AI.

As a Strategist, you'll be responsible for growing the Global Public Sector business unit and partnering with technical stakeholders to identify and win major opportunities in the public sector and selected accounts across the GCC.

You will develop and execute on a go-to-market strategy for customer acquisition, navigating a dynamic and often unstructured environment to make impactful decisions.

This is a technical role that requires a deep interest in AI and data and the ability to articulate technical concepts in simple, precise language.

Experience successfully navigating and partnering with governments and senior stakeholders across the GCC is also essential.

Key responsibilities include:

• Working closely with Scale Leadership, Head of EMEA, Engagement Management, Account Executives, and the EMEA Strategy team on overall GTM strategy across the region

• Working with potential clients to identify impactful AI solutions and shape and scope their high-level vision for AI

• Demonstrating the value and impact associated with each AI application

• Navigating complicated organizations, developing relationships, and answering client questions to qualify an identified opportunity to a signed deal

• Building trust and credibility with clients, acting as a reliable AI advisor beyond the core operating capacity of projects

Ideally, you'd have 5+ years of public sector sales or consulting experience, and/or sales experience in complex environments.

A track record of personally shaping and closing $500K to $5M+ deals for complex solutions for public sector accounts is also desirable.

Experience in building GTM strategies to effectively scale growth, partnering with both business and technical stakeholders to identify challenges and formulating solutions to address them, and creating, developing, and communicating executive-level materials are also valuable skills.

Written and spoken fluency in Arabic is required.

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Your responsibilities will include:

• Owning and architecting large-scale data processing pipelines for robotics and autonomous vehicle datasets
• Building ML training and fine-tuning pipelines using Scale's robotics data
• Working across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions
• Developing tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation
• Interacting directly with robotics and AV stakeholders to understand their technical needs and drive product development
• Designing comprehensive monitoring and evaluation frameworks for robotics models and data quality

Ideal candidates will have:

• 3+ years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems
• Strong programming skills in Python and TypeScript/Node.js for production systems
• Experience with React and modern frontend development for 3D interfaces
• Concurrent and real-time systems, with special attention to timing constraints
• Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)
• Experience with databases (MongoDB, PostgreSQL) and data processing at large scale
• Track record of working with cross-functional teams including ML engineers, researchers, and customers
• Strong communication skills and ability to operate with high autonomy

Nice to have:

• Experience with C++
• Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization
• Background in computer vision, SLAM, motion planning, or imitation learning
• Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing
• Experience with ML model deployment and serving frameworks
• Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces
• Experience with workflow orchestration systems (Temporal, Airflow)
• Published research or open-source contributions in robotics or autonomous systems

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The ideal candidate will have 5+ years of LLM training in a production environment, experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO, and publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years. A PhD or Masters in Computer Science or a related field is required.

In addition to a competitive salary, you will receive equity-based compensation, comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may also be eligible for additional benefits such as a commuter stipend.

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Scale's ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality.

At Scale, we're uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely across Scale's ML teams and researchers to build the foundation platform that supports all our ML research and development. You will be building and optimizing the platform to enable our next generation of LLM training, inference and data curation.

Responsibilities:

• Build, profile and optimize our training and inference framework
• Collaborate with ML teams to accelerate their research and development and enable them to develop the next generation of models and data curation
• Research and integrate state-of-the-art technologies to optimize our ML system

Ideal Candidate:

• Strong excitement about system optimization
• Experience with multi-node LLM training and inference
• Experience with developing large-scale distributed ML systems
• Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc.
• Strong written and verbal communication skills and the ability to operate in a cross functional team environment

Nice to Have:

• Demonstrated expertise in post-training methods &/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.

Compensation Packages:

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

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Your responsibilities will include developing monitoring techniques and observability methods, researching mechanisms for layered control, and designing red-team simulations to probe weaknesses in oversight and control mechanisms.

To succeed in this role, you'll need a strong background in machine learning, particularly in generative AI, and at least three years of experience addressing sophisticated ML problems. You should be comfortable designing control and monitoring experiments for AI systems, building prototype systems, and quickly turning new ideas from the research literature into working prototypes.

In addition to your technical expertise, you'll need strong written and verbal communication skills to operate in a cross-functional team.

This role offers a competitive salary range of $216,000-$270,000 USD, depending on location and experience, as well as equity-based compensation and benefits, including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

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The Director of Business Systems will be responsible for building real depth across Finance, GTM, Operations, and People systems, connecting these capabilities into a powerful, AI-integrated backbone.

You are a builder-first leader who will blend enterprise architecture with cutting-edge AI automation. Your goal is to eliminate fragmentation and enable every function to move faster by deploying internal AI agents that reduce manual work and surface actionable insights.

Key Responsibilities

• Enterprise Application Strategy: Own the full lifecycle of our application ecosystem, including ERP (Finance), CRM (GTM), HRIS (People), and specialized AI tools. Ensure these systems converge into a secure, scalable backbone.

• AI Agent Deployment: Identify opportunities to replace manual workflows with AI/LLM-powered agents. Build and manage 'internal agents' that automate forecasting, revenue capture, and employee self-service.

• Cross-Functional Partnership: Serve as the primary technology partner to the leadership team. Align system roadmaps with departmental goals to ensure seamless data flow from production to the back office.

• Operational Excellence: Mature our core systems by establishing disciplined change management, clear data governance, and measurable SLAs. Stabilize environments to support audit and regulatory requirements.

• Team Leadership: Lead a high-impact team that fosters a culture of curiosity, speed, and user-centricity.

Ideally, you have:

• 10+ years of experience leading business systems or enterprise applications in a fast-paced, high-growth environment.

• Technical Depth: Strong functional understanding of Salesforce (or equivalent CRM), NetSuite (or equivalent ERP), and Workday (or equivalent HRIS).

• AI/Automation Mindset: Proven track record of designing and deploying AI/LLM-powered workflows or agentic systems to improve business efficiency.

• Architecture Skills: Ability to design scalable data flows and APIs that link disparate SaaS tools into a cohesive ecosystem.

• Stakeholder Mastery: Experience influencing C-level executives and translating complex technical needs into business outcomes.

• Skilled in Python or SQL to personally audit or prototype automation logic.

• Extensive experience and In-depth knowledge of the functionality of the ERP modules with emphasis on Sales – Order to Cash & Sales Audit, Purchasing – Direct & Indirect and Finance - General Ledger, AP & AR, Procure to Pay, Sales Audit, Fixed Assets, International Consolidations & Reporting.

• Experience with GTM systems such as, HubSpot, Outreach, Clari, CPQ (e.g., Salesforce CPQ), and similar tools.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of San Francisco is: $235,200-$294,000 USD

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Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviours, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes.

Responsibilities

• Build and deploy multi-agent systems for agentic reasoning validation
• Develop pipelines to detect errors and scale human judgment
• Combine classical ML, LLMs, and multi-agent techniques for reliability
• Lead research into agent failure modes and ship fixes
• Use AI tools to speed prototyping and iteration
• Build data-driven evaluations and deploy rapid improvements
• Integrate systems into Scale's platform

Ideal Candidate

• PhD or MSc in Computer Science, Mathematics, Statistics, or related field
• 3+ years shipping scaled production ML systems
• Demonstrated real-world impact
• Mastery of PyTorch, TensorFlow, JAX, or scikit-learn
• Deep expertise in agentic LLMs and multi-agent systems
• Strong software engineering and microservices (AWS/GCP)
• Rapid, data-driven iteration
• Proficiency using AI tools to accelerate work
• Strong research depth with practical bias
• Excellent cross-functional communication

Nice to Have

• Experience prototyping agent evaluation/reliability systems
• Human-in-the-loop or annotation pipeline work
• Open-source contributions in agents, evaluation, or alignment
• Publications on agent reliability (NeurIPS, ICML, ICLR)

Compensation

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

About Us

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

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Your responsibilities will include:

• Designing extensible, production-grade services that can support frontier AI workflows, including multi-modal inputs, long-running processes, and agentic orchestration.
• Building and operating distributed systems at scale, with strong guarantees around correctness, reliability, observability, and cost efficiency.
• Integrating with public LLM APIs and AI services, designing abstractions that are resilient to model churn, latency variability, and evolving usage patterns.
• Designing and maintaining data transformation and processing systems, supporting complex schema evolution, customization, and high-throughput workloads.
• Partnering closely with infrastructure, product, and customer-facing teams to define requirements, shape technical direction, and deliver seamless integration experiences for customers.
• Leading multi-quarter technical initiatives, including authoring and driving a 6+ month technical roadmap for major platform investments.
• Applying strong engineering judgment in ambiguous problem spaces, balancing speed with long-term maintainability and operational excellence.
• Raising the quality bar through thoughtful system design reviews, rigorous code reviews, and mentorship grounded in real-world production experience.

Ideal Experience:

• 7+ years of professional software engineering experience, with a strong background in building and operating large-scale, production-grade platforms.
• Deep expertise in distributed systems and cloud-native architectures, including Kubernetes, microservices, event-driven systems, caching, and production databases.
• Proven ability to lead multi-quarter technical initiatives, work effectively across cross-functional teams, and apply strong architectural judgment in ambiguous environments.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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As a Strategic Projects Lead (SPL) for the Data Collection team, you will lead initiatives that drive $XXM+ in new revenue for the business.

This is a demanding role, and as an SPL, you should be prepared to wear many hats across all dimensions of Operations. The ideal SPL has a strong entrepreneurial mindset, is comfortable getting into the weeds, and is excited about intense, impactful work that leads to accelerated career progression.

Key Responsibilities:

Serve as the full owner of our most visible and high-impact customer and internal collection projects, making decisions that directly impact data quality, operational efficiency, revenue, and margins. Understand customer requirements and design collection specifications best suited to improving model performance based on customer needs. Build out project timelines and pipeline infrastructure to ensure quality and efficiency. Train, coach, and manage dynamic and global teams of operators and collectors. Build analytics and reports to make data-driven decisions. Functionally lead a team of Operations Program Managers and Associates that support the execution of the project, define and assign tasks, monitor progress. Partner with diverse stakeholders (Engineering + Product + Finance + Go-to-Market) to work on problems that will drive advancements for the largest Robotics models (VLAs/VLMs) in the world. Give regular progress updates to Scale's executive team.

Ideal Qualifications:

Strong technical background, combined with a business-oriented mindset (a degree in engineering or computer science is ideal + prior exposure to driving business outcomes). 3+ years of experience leading a project team, developing product or operational processes, or launching new operations. Excellent problem-solving capabilities (experience working on operational challenges is a plus). Ability to come up with creative solutions to complex, ambiguous operational problems. Entrepreneurial experience and mindset - you are excited about building things from scratch and are able to identify issues and execute quickly. Nice to haves: Hands-on experience in Robotics, AI, and/or Computer Vision. Experience working with global teams on different timezones. SQL proficiency.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $152,000-$190,000 USD

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Key Responsibilities:

• Lead cross-functional projects with diverse stakeholders (Engineering + Ops + Go-to-Market)
• Partner with product and engineering teams to enhance products to fulfill needs of strategic customers and initiatives
• Own the execution of our data labeling operations for strategic projects
• Give regular progress updates to Scale's executive team

Ideal Candidate:

• Strong technical background (a degree in computer science is ideal, and at minimum the role requires the ability to do data analytics using SQL or Python)
• 2+ years of experience leading a team, developing product or operational processes, or as a SWE
• Strong problem-solving capabilities (experience working on operational challenges or as a consultant is a plus)
• Entrepreneurial experience and mindset

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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As a Product Manager at Scale, you will sit at the intersection of these two sides, shaping the systems, tooling, and experiences that make this marketplace work at unprecedented quality and scale.

You will work with dedicated engineering, design, and data science teams, as well as operations, finance, growth, and customer-facing stakeholders. The problems are technically complex, the pace is fast, and the impact is measurable.

Whether you are on the demand side (shaping the products customers use to create and evaluate training data) or the supply side (building the systems that power our global contributor marketplace), you will own your product area end-to-end , from strategy to execution to instrumentation.

Scale is a growth-stage company with the resources of a well-funded leader and the urgency of a startup. PMs here operate with significant autonomy, ship frequently, and are expected to be deeply analytical and hands-on.

Responsibilities

• Set the product strategy and roadmap for your area, grounded in customer needs, data analysis, and business impact

• Develop and execute a data-driven product roadmap through close collaboration with senior leadership, engineering, operations, data science, analytics, and design

• Translate customer and internal-user needs into clear, well-defined functional and technical requirements backed by data analysis and deep understanding of your users

• Guide and interface closely with engineering and data teams to define scope, review and refine technical capabilities, prioritize projects for release, and identify new opportunities

• Build long-term instrumentation, monitoring, and evaluation capabilities for product performance tracking and insight generation

• Establish business cases and projected return on investment to identify and prioritize opportunities

• Partner with finance and business leaders to manage impact on the profitability and growth of the overall business

• Communicate product vision, strategy, and progress to executive stakeholders and cross-functional partners

Ideal Candidate

• 4–10 years of experience in Product Management in the tech industry, with scope appropriate to level (L4: 4–6 yrs, L5: 6–8 yrs, L6: 8–10+ yrs)

• Strong business acumen and analytical rigor, with demonstrated success driving products in ambiguous, high-growth environments

• Experience translating complex technical systems into clear product strategies , comfort engaging deeply with engineering and data science teams

• Excellent communication and stakeholder management skills, capable of influencing across technical and non-technical audiences

• Experience building products from the ground up and iterating through the scaling journey of a business

• Bachelor’s or advanced degree in a quantitative, engineering, or related discipline

Compensation

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

The base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$205,600-$257,000 USD

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Responsibilities:

• Recruit a high-performing engineering team.
• Drive engineering productivity.
• Provide guidance, mentorship, and technical leadership to a team of customer-facing engineers working on Generative AI projects.
• Collaborate with cross-functional teams to define, design, and execute strategic roadmaps based on customer needs.
• Work directly with customers to understand their problems and translate those into custom workflows within Scale's platform.
• Be open to ~25% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer's data to Scale's platform and back.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
• Lead end-to-end technical delivery of custom workflows from scoping to development to testing to implementation.

Requirements:

• 5+ years of full-time engineering experience, post-graduation.
• 2+ years of prior engineering management or equivalent experience and previously managed an engineering team.
• Track record of success as a hybrid customer-facing engineer, forward-deployed software engineer, and ability to quickly adapt to different roles.
• Prior experience developing with Python and JavaScript, or other modern software languages.
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment.
• Linux experience: Understanding of shell scripting, operating systems, etc.
• Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc) is a plus.
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources.
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions.
• Understand unique DoD and USG constraints when it comes to technology.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval.

You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus.

You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail.

Key responsibilities include:

• Architecting multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers.
• Using our own data and AI platform to analyse build and test logs and metrics to identify areas for improvement.
• Defining the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers.
• Enhancing engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.
• Collaborating with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs.
• Designing and championing highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale.
• Leading the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies.
• Owning the development and maintenance of our best-in-class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response.
• Driving developer efficiency by building automated tooling and championing Infrastructure-as-Code (IaC) paradigms throughout the engineering organization to improve workflows and operational efficiency.

The ideal candidate has proven experience in a senior role, with 5+ years of full-time software engineering experience, and a deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana).

Extensive experience with at least one major cloud provider (AWS, Azure, or GCP) and strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer-specific VPC setups is required.

Proficiency in Python or JavaScript/TypeScript, and SQL is also necessary.

Bonus points for hands-on experience and a passion for working with Agents, LLMs, vector databases, and other emerging AI technologies.

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Our scalable, high-performance platform is the foundation for these customer solutions, and your expertise will be instrumental in designing and implementing systems that can handle interactions with existing customer systems to help our products integrate into existing customer workflows.

Key Responsibilities:

• Work directly with customers to understand their problems and translate those into features in Scale's platform.
• Be open to >50% travel or relocation to a key customer geographic location.
• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
• Implement end-to-end data integrations, syncing customer's data to Scale's platform and back.
• Deploy and maintain Scale software at customer sites.
• Develop customer requested features and work closely with them to ensure that they win customer love.
• Build robust and reliable backend systems that can serve as standalone products, empowering customers to accelerate their own AI ambitions.
• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.

Ideal Candidate:

• Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles.
• Prior experience developing with Python and JavaScript, or other modern software languages. Familiarity with Node and React is a plus.
• Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus.
• Linux experience: Understanding of shell scripting, operating systems, etc.
• Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc)
• Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles.
• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval.

Benefits:

• Comprehensive health, dental and vision coverage,
• Retirement benefits,
• A learning and development stipend,
• Generous PTO,
• Commuter stipend

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Your work will involve having full ownership of your work and outcome, with broad latitude to run autonomously as you get up to speed. You will partner with, influence, and support the Scale executive team as we tackle the most difficult decisions in the business. You will help incubate, seed, and scale new teams, and design, manage, and iterate on the operational and analytical systems and processes that make Scale hum.

Ideally, you will have the ability to run on your own, operating at the highest level in a rapidly changing industry during a period of hypergrowth. You will have a penchant for digging deeply into the data yourself, thinking from first principles, and iterating quickly to deliver results. You will have a strong orientation toward outcomes, and a history of being scrappy when it counts. You will have low ego, and an easygoing interpersonal style that you bring to bear in everything from deep technical conversations with engineers to polished executive level comms.

You will have proven ability to build high trust relationships with a wide range of people across the organization, and a history of developing lightweight processes and getting them adopted. You will have experience in product or project management, taking projects from conception to launch. You will have excellent qualitative and quantitative analytical skills.

This role may be eligible for additional benefits such as a commuter stipend.

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Key responsibilities include:

• Training state-of-the-art models, developed both internally and from the community, to deploy to our enterprise customers.
• Researching cutting-edge algorithms to integrate directly into our training stack.
• Building agents that leverage our proprietary agent-building algorithms to automatically hill climb datasets – including defining highly performant tools, multi-agent systems, and complex rewards.

Ideal candidates will have 1-3 years of building with LLMs in a production environment, experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO, and publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

You’ll also receive benefits including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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Design and implement scalable backend systems for Federal customers using cloud-native AI infrastructure.

Build features for agentic systems, including multi-layered guardrails and data retrieval optimization.

Develop data pipelines and machine learning infrastructure to make data sources accessible by agents.

Collaborate with cross-functional teams to execute backend solutions for secure environments.

Participate in customer engagements to understand requirements and deliver technical solutions.

Contribute to the platform roadmap and product strategy for the Federal business.

We're looking for talented individuals with expertise in Full Stack Development, Cloud-Native Technologies, Data Engineering, AI Application Integration, Problem Solving, Collaboration and Communication, and Adaptability and Learning Agility.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:\$180,000-\$225,000 USD

The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:\$162,400-\$233,000 USD

The base salary range for this full-time position in the location of St. Louis is:\$135,200-\$194,000 USD

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You will conduct in-depth code reviews, implement security best practices, and influence the overall security strategy. Your expertise in TypeScript, Python, AWS, CI/CD, SAST, DAST, and terraform orchestration will be crucial in identifying and mitigating potential security vulnerabilities.

You will:

• Leverage broad product security expertise to build and maintain software tooling that secures every layer of the modern AI/ML software ecosystem.

• Conduct in-depth code reviews to identify and remediate security vulnerabilities.

• Evaluate and enhance the security of our product offerings, through RFC and service review.

• Implement and maintain CI/CD pipelines with a strong focus on security.

• Perform Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) to identify vulnerabilities in production code.

• Utilize terraform orchestration to ensure secure and efficient infrastructure management.

• Guide engineering teams to build robust long-term solutions that consider security and privacy.

• Clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact.

• Influence the security strategy and direction of the team, advocating for best practices and continuous improvement.

Ideally, you’d have:

• Demonstrated ability to drive multi-month security initiatives independently, from problem definition through execution, without requiring significant direction.

• Proven experience as a Security Engineer with a focus on product security.

• Proficiency in NodeJS, TypeScript, Python, and/or Kubernetes.

• Strong understanding of modern Javascript application design.

• Production experience operating and securing AWS infrastructure at scale.

• Hands-on experience with SAST and DAST tools and methodologies.

• Familiarity with terraform orchestration for infrastructure management.

• You can structure complex problems and diagnose root causes independently, providing actionable insights without requiring manager input.

• Excellent communication skills, with the ability to clearly present technical concepts and their implications to both technical and non-technical stakeholders.

• Demonstrated ability to influence security strategies and drive improvements within a team.

• Relevant security certifications (e.g., CISSP, CEH, OSCP) are a plus.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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In this role, you'll oversee the product roadmap for your data vertical, owning 'data as a product', pipelines for data generation and quality, and researcher-facing tools that help labs train and evaluate intelligent agents in complex environments.

You'll work directly with Scale's most important customers and their leading researchers, representing Scale as the technical expert for your products and influencing both internal and external roadmaps.

The ideal candidate brings together a strong entrepreneurial & go-to-market mindset, technical depth, and a sense for AI research, enabling them to get in front of technical stakeholders to drive mission-critical outcomes.

Responsibilities:

• Own the roadmap for the Agent & RL Environment Data vertical, setting product direction and driving execution across engineering, operations, and go-to-market teams.

• Build technical partnerships with research teams at leading AI labs, identifying insights that shape new product lines and competitive strategies for your vertical.

• Design, experiment with, and deliver high-quality data pipelines, tooling, and evaluation frameworks that advance RL and agentic model capabilities.

• Scope out and scale the creation of RL environments that simulate real-world use cases.

• Collaborate cross-functionally, influencing business priorities and diving in the weeds of research, operations, and customer interactions.

Ideally, You'd Have:

• Entrepreneurial mindset: A builder excited by ambiguity and motivated to create new products from the ground up.

• 6+ years of experience in product management or a customer-facing role.

• Technical fluency: Software engineering background (a degree in computer science or equivalent experience).

• Understanding of reinforcement learnings, simulation environments, or data pipelines for model training and evaluation

• Strong customer intuition and the ability to translate technical requirements into impactful product decisions.

• Bias for action and comfort wearing multiple hats and operating in fast-moving environments.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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You will:

• Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation
• Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes
• Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments
• Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases
• Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture
• Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team

Ideally you'd have:

• Masters or Phd in Computer Science or equivalent deep industry experience in architecting complex, distributed systems
• 10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP)
• Expert ability to design and oversee production-grade ecosystems, ensuring world-class standards for system integrity, security, and long-term scalability
• Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments
• A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization
• A driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction
• Proficient in Arabic

Nice to haves:

• Past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role
• Experience working cross functionally with operations
• Proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systems.

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For example, you might:

• Research the science of AI agent capabilities with a focus on how they relate to safety, risk factors, and methodologies for benchmarking them;
• Design and build harnesses to test AI agents' tendency to take harmful actions when pressured to do so by users or tricked into doing so by elements of their environment;
• Design and build exploits and mitigations for new and unique failure modes that arise as AI agents gain affordances like coding, web browsing, and computer use;
• Characterize and design mitigations for potential failure modes or broader risks of systems involving multiple interacting AI agents.

Ideally you'd have:

• Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance;
• Practical experience conducting technical research collaboratively;
• Experience with post-training and RL techniques such as RLHF, DPO, GRPO, and similar approaches;
• A track record of published research in machine learning, particularly in generative AI;
• At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development;
• Strong written and verbal communication skills to operate in a cross-functional team.

Nice to have:

• Hands-on experience with agent evaluation frameworks such as SWE-bench, WebArena, OSWorld, Inspect, or similar tools;
• Experience with red-teaming, prompt injection, or adversarial testing of AI systems.

Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organisational culture. We will not ask any LeetCode-style questions. If you're excited about advancing AI safety and contributing to our mission, we encourage you to apply, even if your experience doesn't perfectly align with every requirement.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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