{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/at/scale-ai"},"x-facet":{"type":"company","slug":"scale-ai","display":"Scale AI","count":37},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. 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Over time, this role will have the opportunity to build and lead a GTM / RevOps team.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own and evolve Scale&#39;s enterprise GTM operating model, including account engagement strategy, funnel design, and sales execution standards</li>\n</ul>\n<ul>\n<li>Design and manage the enterprise RevOps systems stack (e.g., CRM, forecasting, reporting, planning tools) to support scalable growth</li>\n</ul>\n<ul>\n<li>Define, track, and operationalize core enterprise GTM metrics across pipeline health, deal velocity, forecast accuracy, and rep productivity</li>\n</ul>\n<ul>\n<li>Establish and run sales operating cadences including pipeline reviews, forecast calls, QBRs, and performance reviews</li>\n</ul>\n<ul>\n<li>Partner with Sales Leadership and Finance to design, implement, and maintain enterprise sales compensation plans, including quota governance and attainment reporting</li>\n</ul>\n<ul>\n<li>Build executive-level dashboards and reporting to support GTM decision-making and leadership visibility</li>\n</ul>\n<ul>\n<li>Serve as a strategic thought partner to Enterprise Sales leaders, bringing a strong opinion on how accounts should be covered, prioritized, and engaged</li>\n</ul>\n<ul>\n<li>Act as the connective tissue across Sales, Marketing, Finance, Product, and Solutions Engineering for enterprise GTM planning and execution</li>\n</ul>\n<ul>\n<li>Support annual and quarterly planning efforts including territory design, capacity modeling, headcount planning, and quota setting</li>\n</ul>\n<ul>\n<li>Ensure data integrity, process clarity, and operational discipline across all enterprise GTM motions</li>\n</ul>\n<p>Ideally, You Will Have:</p>\n<ul>\n<li>8–12+ years of experience in RevOps, Sales Ops, or GTM Strategy roles, with deep exposure to enterprise sales environments</li>\n</ul>\n<ul>\n<li>Experience supporting complex, multi-stakeholder enterprise sales motions in high-growth B2B SaaS or platform companies</li>\n</ul>\n<ul>\n<li>Proven ownership of sales systems, forecasting, and performance measurement at scale</li>\n</ul>\n<ul>\n<li>Hands-on experience designing and managing enterprise sales compensation plans and reporting</li>\n</ul>\n<ul>\n<li>Strong understanding of enterprise GTM metrics, planning cycles, and operating cadences</li>\n</ul>\n<ul>\n<li>A clear point of view on how enterprise accounts should be engaged and how to operationalize that engagement at scale</li>\n</ul>\n<ul>\n<li>Comfort influencing senior sales leaders and executives without direct authority</li>\n</ul>\n<ul>\n<li>Excellent written and verbal communication skills, including experience building executive-level materials and dashboards</li>\n</ul>\n<ul>\n<li>Strong command of GTM systems and tools (e.g., Salesforce, Clari, planning and reporting tools)</li>\n</ul>\n<ul>\n<li>High attention to detail paired with the ability to operate at a strategic altitude</li>\n</ul>\n<ul>\n<li>Demonstrated ability to operate as a senior IC with the ambition and capability to build and lead a team over time</li>\n</ul>\n<ul>\n<li>Technical curiosity or experience working alongside technical products and teams; familiarity with AI, ML, or data platforms is a plus</li>\n</ul>\n<p>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.</p>\n<p>Please reference the job posting&#39;s subtitle for where this position will be located. 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As a member of our team, you&#39;ll design and implement features end-to-end across front-end, back-end, and infrastructure. You&#39;ll own high-impact technical systems that are critical to Scale&#39;s revenue delivery and collaborate with model teams, Forward Deployed Engineers, and cross-functional stakeholders.</p>\n<p>Our approach is to empower our engineers to take ownership of their work and make decisions that drive results. We believe in a fast-paced, high-ownership environment where you&#39;ll have the opportunity to build and iterate on complex systems that scale to millions of tasks per week.</p>\n<p>In this role, you&#39;ll help shape the engineering culture, values, and best practices of a fast-growing team. You&#39;ll work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale.</p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. 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you&#39;ll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies.</li>\n</ul>\n<ul>\n<li>Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions.</li>\n</ul>\n<ul>\n<li>End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure.</li>\n</ul>\n<ul>\n<li>Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation.</li>\n</ul>\n<ul>\n<li>Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the 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Our teams operate at the intersection of innovation, rigor, and impact, solving some of the hardest problems in AI infrastructure and deployment.</p>\n<p>The Distinguished Engineer will play a key role in shaping how AI systems are built, deployed, and governed within enterprise environments. This role represents the highest bar of technical excellence at Scale - a trusted voice in setting direction, enabling innovation, and ensuring that our technology scales responsibly and effectively to meet the evolving needs of our customers.</p>\n<p>You’ll have the opportunity to influence company-wide strategy, contribute to industry-leading work in generative AI infrastructure, and mentor the next generation of engineering talent pushing the boundaries of what’s possible with AI.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5cf5141e-a21","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4632142005","x-work-arrangement":"hybrid","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"$285,200-$356,500 USD","x-skills-required":["AI/ML infrastructure","Generative AI","Distributed systems","Data infrastructure","Technical leadership","Cross-functional collaboration","Communication","Mentoring"],"x-skills-preferred":[],"datePosted":"2026-04-18T16:00:20.293Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI/ML infrastructure, Generative AI, Distributed systems, Data infrastructure, Technical leadership, Cross-functional collaboration, Communication, Mentoring","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":285200,"maxValue":356500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5920f836-9df"},"title":"Manager, Machine Learning Research Scientist, GenAI","description":"<p>Scale AI accelerates the development of AI systems by providing data, infrastructure, and tooling that power advanced models. 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As businesses race to harness the power of Generative AI, Scale is at the forefront, delivering cutting-edge solutions that transform workflows, automate complex processes, and drive unparalleled efficiency for the largest enterprises.</p>\n<p>We&#39;re looking for a Backend Engineer to help bring large-scale GenAI systems to production. In this role, you&#39;ll build the core infrastructure that powers AI products for some of the world&#39;s largest enterprises,designing scalable APIs, distributed data systems, and robust deployment pipelines that enable production-grade reliability and performance.</p>\n<p>This is a rare opportunity to be at the center of the GenAI revolution, solving hard backend and infrastructure challenges that make AI truly work at enterprise scale. If you&#39;re excited about shaping how AI systems are deployed and scaled in the real world, we want to hear from you.</p>\n<p>At Scale, we don&#39;t just follow AI advancements , we lead them. Backed by deep expertise in data, infrastructure, and model deployment, we are uniquely positioned to solve the hardest problems in AI adoption. Join us in shaping the future of enterprise AI, where your work will directly impact how businesses operate, innovate, and grow in the age of GenAI.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale&#39;s and customers&#39; infrastructure.</li>\n</ul>\n<ul>\n<li>Develop core services and APIs that integrate AI models and enterprise data sources securely and efficiently, enabling production-scale AI adoption.</li>\n</ul>\n<ul>\n<li>Architect scalable distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads.</li>\n</ul>\n<ul>\n<li>Optimize backend performance for latency, throughput, and cost,ensuring AI applications can operate at enterprise scale across hybrid and multi-cloud environments.</li>\n</ul>\n<ul>\n<li>Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving 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environment.</li>\n</ul>\n<ul>\n<li>2+ years of experience in a formal or informal Technical Leadership role (Team Lead, Tech Lead) with a focus on setting technical direction for a domain.</li>\n</ul>\n<ul>\n<li>Deep expertise in Generative AI and Large Language Models (LLMs).</li>\n</ul>\n<ul>\n<li>Demonstrated experience designing, building, and deploying AI Agents or complex Agentic systems in production at scale.</li>\n</ul>\n<ul>\n<li>Experience with large-scale distributed systems and real-time data processing.</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Advanced degree (Master&#39;s or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field.</li>\n</ul>\n<ul>\n<li>Demonstrated experience designing and deploying production-grade Text-to-SQL systems, including handling complex schema linking and query optimization.</li>\n</ul>\n<ul>\n<li>Practical experience with Multimodal AI, specifically integrating OCR and vision-language 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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.</p>\n<p><strong>About Us</strong></p>\n<p>At Scale, our mission is to develop reliable AI systems for the world&#39;s most important decisions. Our products provide the high-quality data and full-stack technologies that power the world&#39;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.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_78eea632-7b6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4623590005","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$264,800-$331,000 USD","x-skills-required":["Generative AI","Large Language Models (LLMs)","Agentic Frameworks","Machine Learning","Deep Learning","Applied Research","Distributed Systems","Real-time Data Processing"],"x-skills-preferred":["Text-to-SQL Systems","Multimodal AI","Reinforcement Learning (RL)","Reasoning and Planning","Agentic Systems","Vector Databases","Advanced Retrieval Techniques"],"datePosted":"2026-04-18T15:59:45.270Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Generative AI, Large Language Models (LLMs), Agentic Frameworks, Machine Learning, Deep Learning, Applied Research, Distributed Systems, Real-time Data Processing, Text-to-SQL Systems, Multimodal AI, Reinforcement Learning (RL), Reasoning and Planning, Agentic Systems, Vector Databases, Advanced Retrieval Techniques","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":264800,"maxValue":331000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6365e7d7-511"},"title":"Senior Forward Deployed Data Scientist/Engineer","description":"<p>We&#39;re hiring a Senior Forward Deployed Data Scientist / Engineer to work directly with customers on ambiguous, high-impact problems at the intersection of data science, product development, and AI deployment.</p>\n<p>This is not a traditional analytics role. 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Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions.</p>\n<p>Responsibilities: Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities</p>\n<p>Requirements: 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans Strong foundation in statistics, experimentation, causal reasoning, and measurement Experience building tools or products, not just analyses , for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives High ownership and bias toward shipping in fast-moving environments with incomplete information</p>\n<p>Preferred qualifications: Experience in a forward deployed, solutions, consulting, or other client-facing technical role Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign</p>\n<p>What success looks like: Success in this role means taking a messy, high-stakes customer problem and turning it into a deployed system that is actually used. Sometimes that system is a model. Sometimes it is an evaluation framework. Sometimes it is an operator-facing tool or a lightweight data product that changes how decisions get made. In all cases, success is defined by measurable impact, rigorous evaluation, and reliable execution.</p>\n<p>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.</p>\n<p>Salary Range: $167,200-$209,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6365e7d7-511","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4636227005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$167,200-$209,000 USD","x-skills-required":["Python","SQL","Modern data/AI tooling","Statistics","Experimentation","Causal reasoning","Measurement","Data science","Machine learning","Quantitative engineering"],"x-skills-preferred":["Experience in a forward deployed, solutions, consulting, or other client-facing technical role","Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products","Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow","Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery","Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems","Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling","Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign"],"datePosted":"2026-04-18T15:59:44.618Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, Modern data/AI tooling, Statistics, Experimentation, Causal reasoning, Measurement, Data science, Machine learning, Quantitative engineering, Experience in a forward deployed, solutions, consulting, or other client-facing technical role, Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products, Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow, Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery, Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems, Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling, Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":167200,"maxValue":209000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_73943189-eef"},"title":"Senior Software Engineer - Internal Tools & Productivity","description":"<p>We&#39;re hiring a highly skilled Senior Software Engineer to help design, build, and operate secure, scalable infrastructure that empowers our employees to do their best work.</p>\n<p>As a full stack engineer, you will work with your team to build amazing tools/applications for internal company use as well as external customers/partners.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Design, develop, test, and support full-stack applications on cloud-native distributed systems</li>\n<li>Build real-time integrations with SaaS platforms across the organisation</li>\n<li>Build a quality framework/unit tests that ensure product quality, performance, and load and are able to debug/identify system issues</li>\n<li>Collaborate with the broader teams, engage in engineering council, conduct code reviews, and improve our delivery process</li>\n</ul>\n<p>Collaborate with the IAM team to manage cloud-based identity (Okta) and access controls, ensuring compliance with security policies and standards for internal applications.</p>\n<p>Work heavily cross-functionally to identify areas for corporate technology service improvement and implement self-service solutions.</p>\n<p>Requirements include:</p>\n<ul>\n<li>5+ years of related experience with a Bachelor’s degree; or equivalent work experience</li>\n<li>Proficiency with UI frameworks such as React or Angular and HTML, CSS, Typescript, etc</li>\n<li>Proficiency with backend technologies, including API development, databases, and privacy permissions. Ex. Go, Python, PostgreSQL and GraphQL</li>\n<li>Experience with end-to-end testing and documentation</li>\n<li>Experience developing secure, scalable, and resilient applications on the cloud that handle sensitive data</li>\n<li>Experience with cloud technologies, e.g., AWS, Azure, GCP, Docker, or Kubernetes</li>\n<li>Familiarity with compliance frameworks such as SOC 2, ISO 27001, FedRAMP, and NIST.</li>\n</ul>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits.</p>\n<p>The base salary range for this full-time position in the location of San Francisco is: $216,000-$270,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_73943189-eef","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4654897005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["UI frameworks","backend technologies","API development","databases","privacy permissions","cloud technologies","compliance frameworks"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:59:41.216Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"UI frameworks, backend technologies, API development, databases, privacy permissions, cloud technologies, compliance frameworks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c64368dd-789"},"title":"Software Engineer, ARC Team","description":"<p>We are seeking a highly skilled and motivated Software Engineer, ARC (Architecture, Reliability, &amp; Compute) to join our dynamic Public Sector Engineering team.</p>\n<p>As a part of this team, you will define how the company ships software, establishing the patterns for deploying into complex government and high-security environments, rather than just running Terraform scripts.</p>\n<p>You will build and maintain internal CLIs/tools that standardize testing, deployment, environment management and are tools that engineering relies on to prevent downstream breakages.</p>\n<p>You will execute on automated deployment efforts to pay down tech debt, creating fully functional staging/testing environments, and defining the company&#39;s standard for safe deployments.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale&#39;s modern and cloud-native AI infrastructure.</li>\n</ul>\n<ul>\n<li>Own services or systems and define their long-term health goals, while also improving the health of surrounding components.</li>\n</ul>\n<ul>\n<li>Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product.</li>\n</ul>\n<ul>\n<li>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.</li>\n</ul>\n<ul>\n<li>Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.</li>\n</ul>\n<ul>\n<li>Contribute to the platform roadmap and product strategy for Scale AI&#39;s Public Sector business, playing a key role in shaping the future direction of our offerings.</li>\n</ul>\n<p>Must have:</p>\n<ul>\n<li>At least an active secret clearance and the ability &amp; willingness to up level to TS/SCI with CI Poly. This is a requirement and candidates will not be considered who do not hold at least a secret clearance</li>\n</ul>\n<p>Ideally you&#39;d have:</p>\n<ul>\n<li>Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing &amp; delivering software to air-gapped &amp; isolated environments is a plus.</li>\n</ul>\n<ul>\n<li>Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment.</li>\n</ul>\n<ul>\n<li>Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software &amp; technical solutions that meet strict security &amp; regulatory compliance requirements.</li>\n</ul>\n<ul>\n<li>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.</li>\n</ul>\n<ul>\n<li>Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment.</li>\n</ul>\n<ul>\n<li>Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering.</li>\n</ul>\n<ul>\n<li>Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office.</li>\n</ul>\n<p>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.</p>\n<p>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.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c64368dd-789","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4673771005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$138,000-$259,440 USD","x-skills-required":["Cloud-Native Technologies","Containerization","Container Orchestration","Cloud Platforms","Federal Compliance Frameworks","Security Focused","Problem Solving","Collaboration and Communication","Adaptability and Learning Agility"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:59:38.809Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Cloud-Native Technologies, Containerization, Container Orchestration, Cloud Platforms, Federal Compliance Frameworks, Security Focused, Problem Solving, Collaboration and Communication, Adaptability and Learning Agility","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":138000,"maxValue":259440,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_83b76cad-0da"},"title":"Operations Specialist","description":"<p>As an early member of our operations team, you&#39;ll drive revenue by ensuring Scale AI meets customer commitments in a timely manner while maintaining the highest quality standards.</p>\n<p>You will manage our supply operation funnel by building and running solutions, tools, and processes by working with a cross-functional team including Customer Operations, Product Operations, Product Managers, and many others.</p>\n<p>You will be solving problems no one has solved before, and you will need to be relentless in driving stellar results, running pilots, tests, and experiments.</p>\n<p>The blend of operations and ownership of our most important outcomes make this a unique and exciting role at the heart of Scale’s daily operations.</p>\n<p>The ideal candidate is scrappy, analytical, empathetic, outcome focused, and above all someone who drives and inspires results.</p>\n<p>You will:</p>\n<ul>\n<li>Build and drive some of our most critical operational processes</li>\n</ul>\n<ul>\n<li>Own the day-to-day delivery of customer commitments</li>\n</ul>\n<ul>\n<li>Create an effective feedback loop between the front line, product, strategy, and customers</li>\n</ul>\n<ul>\n<li>Collaborate with stakeholders to improve processes for new and existing customers</li>\n</ul>\n<p>Ideally you’d have:</p>\n<ul>\n<li>Advanced English skills</li>\n</ul>\n<ul>\n<li>At least three months of industry experience in an operational role and/or a top-tier consulting firm</li>\n</ul>\n<ul>\n<li>An undergraduate degree with an analytics heavy major (e.g., Engineering or Economics) and/or a graduate degree in Engineering, Economics, or Business</li>\n</ul>\n<ul>\n<li>An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results</li>\n</ul>\n<ul>\n<li>Analytical, planning, and process improvement capability</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience with reading SQL, or have demonstrated analytical skills</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_83b76cad-0da","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4594237005","x-work-arrangement":null,"x-experience-level":"entry","x-job-type":"contract","x-salary-range":"$11,400 USD annually","x-skills-required":["English","Operational role","Top-tier consulting firm","Analytics heavy major","Graduate degree in Engineering, Economics, or Business","Action-oriented mindset","Analytical, planning, and process improvement capability"],"x-skills-preferred":["SQL"],"datePosted":"2026-04-18T15:59:32.608Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mexico City, MX"}},"employmentType":"CONTRACTOR","occupationalCategory":"Operations","industry":"Technology","skills":"English, Operational role, Top-tier consulting firm, Analytics heavy major, Graduate degree in Engineering, Economics, or Business, Action-oriented mindset, Analytical, planning, and process improvement capability, SQL","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":11400,"maxValue":11400,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3aedc59f-428"},"title":"Senior Forward Deployed AI Engineer, Enterprise","description":"<p>As a Senior Forward Deployed AI Engineer on our Enterprise team, you&#39;ll be the technical bridge between Scale AI&#39;s cutting-edge AI capabilities and our most strategic customers. You&#39;ll work with enterprise clients to understand their unique challenges, architect custom AI solutions, and ensure successful deployment and adoption of AI systems in production environments.</p>\n<p>This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You&#39;ll work directly with customer engineering teams to integrate AI into their critical workflows.</p>\n<p><strong>Key Responsibilities</strong></p>\n<p><strong>Customer Integration &amp; Deployment</strong></p>\n<ul>\n<li>Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements</li>\n<li>Design and implement custom integrations between Scale AI&#39;s platform and customer data environments (cloud platforms, data warehouses, internal APIs)</li>\n<li>Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows</li>\n<li>Deploy and configure AI models and agents within customer security and compliance boundaries</li>\n</ul>\n<p><strong>AI Agent Development</strong></p>\n<ul>\n<li>Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation</li>\n<li>Architect multi-agent systems that orchestrate between different models, tools, and data sources</li>\n<li>Implement evaluation frameworks to measure agent performance and iterate toward business objectives</li>\n<li>Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement</li>\n</ul>\n<p><strong>Prompt Engineering &amp; Optimization</strong></p>\n<ul>\n<li>Create sophisticated prompt engineering strategies optimized for customer-specific domains and data</li>\n<li>Build and maintain prompt libraries, templates, and best practices for customer use cases</li>\n<li>Conduct systematic prompt experimentation and A/B testing to improve model outputs</li>\n<li>Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate</li>\n</ul>\n<p><strong>Technical Leadership &amp; Collaboration</strong></p>\n<ul>\n<li>Serve as the primary technical point of contact for strategic enterprise accounts</li>\n<li>Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration</li>\n<li>Provide technical training and knowledge transfer to customer teams</li>\n<li>Work closely with Scale&#39;s product and engineering teams to translate customer needs into product improvements</li>\n<li>Document technical architectures, integration patterns, and best practices</li>\n</ul>\n<p><strong>Problem Solving &amp; Innovation</strong></p>\n<ul>\n<li>Debug complex technical issues across the entire stack, from data pipelines to model outputs</li>\n<li>Rapidly prototype solutions to unblock customers and prove out new use cases</li>\n<li>Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems</li>\n<li>Identify opportunities for productization based on common customer patterns</li>\n</ul>\n<p><strong>Required Qualifications</strong></p>\n<ul>\n<li>4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design</li>\n<li>Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)</li>\n<li>Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure</li>\n<li>Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions</li>\n<li>Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Agent Development Wiz</li>\n<li>Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures</li>\n<li>Experience building and deploying AI agents or autonomous systems in production</li>\n<li>Knowledge of vector databases and semantic search systems</li>\n<li>Contributions to open-source AI/ML projects</li>\n</ul>\n<ul>\n<li>Infrastructure Guru</li>\n<li>Experience with containerization (Docker, Kubernetes) and CI/CD pipelines</li>\n<li>Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools</li>\n<li>Previous work in a devops, platform, or infra role</li>\n</ul>\n<ul>\n<li>Customer Product Whisperer</li>\n<li>Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role</li>\n<li>Domain expertise in verticals like finance, healthcare, government, or manufacturing</li>\n<li>Experience with technical enablement or teaching programs</li>\n</ul>\n<p><strong>Sample Projects</strong></p>\n<p>The following are some examples of the types of projects we’ve worked on with customers. All of these projects leverage customer data, integrate directly into customers’ existing systems, and are deployed on their infrastructure.</p>\n<ul>\n<li>Deep Research for Due Diligence</li>\n<li>Churn Prediction</li>\n<li>Data Extraction Voice Agent</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<p>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.</p>\n<p><strong>Pay Transparency</strong></p>\n<p>For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $216,000-$270,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3aedc59f-428","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4597399005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["Software engineering","Data structures","Algorithms","System design","Python","ML/AI frameworks","Cloud platforms","Modern data infrastructure","Problem-solving","Communication"],"x-skills-preferred":["LLMs","Prompting techniques","Embeddings","RAG architectures","Containerization","CI/CD pipelines","Infrastructure as Code","Devops","Platform","Infra"],"datePosted":"2026-04-18T15:59:30.214Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software engineering, Data structures, Algorithms, System design, Python, ML/AI frameworks, Cloud platforms, Modern data infrastructure, Problem-solving, Communication, LLMs, Prompting techniques, Embeddings, RAG architectures, Containerization, CI/CD pipelines, Infrastructure as Code, Devops, Platform, Infra","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5aa5b947-f4d"},"title":"Staff Machine Learning Research Scientist/ Engineer, Agents","description":"<p>About Scale AI</p>\n<p>At Scale AI, our mission is to accelerate the development of AI applications. This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation.</li>\n<li>Contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions.</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow.</li>\n<li>A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.).</li>\n<li>At least three years of experience addressing sophisticated ML problems, either in a research setting or product development.</li>\n</ul>\n<p>Nice to Have</p>\n<ul>\n<li>Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax.</li>\n<li>Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents.</li>\n<li>Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc.</li>\n<li>Familiarity with agentic reasoning methods such as STaR and PLANSEARCH</li>\n<li>Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment.</li>\n</ul>\n<p>Benefits</p>\n<ul>\n<li>Comprehensive health, dental and vision coverage</li>\n<li>Retirement benefits</li>\n<li>A learning and development stipend</li>\n<li>Generous PTO</li>\n<li>Commuter stipend</li>\n</ul>\n<p>Salary Range</p>\n<p>$259,200-$324,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5aa5b947-f4d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4488520005","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$259,200-$324,000 USD","x-skills-required":["Pytorch","Jax","Tensorflow","LLMs","Agent frameworks","Agentic reasoning methods","Cloud technology stack"],"x-skills-preferred":["Open source LLM fine-tuning","Bespoke LLM fine-tuning projects"],"datePosted":"2026-04-18T15:59:17.656Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; Seattle, WA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Pytorch, Jax, Tensorflow, LLMs, Agent frameworks, Agentic reasoning methods, Cloud technology stack, Open source LLM fine-tuning, Bespoke LLM fine-tuning projects","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":259200,"maxValue":324000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f456c21b-73f"},"title":"Senior Software Engineer, GenAI","description":"<p>Job Description:</p>\n<p>We&#39;re looking for a Senior Software Engineer to join our GenAI Engineering organization. As a key member of our team, you will design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers</li>\n<li>Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal</li>\n<li>Collaborate closely with internal operators to identify bottlenecks and ship fast, pragmatic solutions</li>\n<li>Own core systems critical to our contributor platform, with direct impact on Scale&#39;s GenAI data pipeline and business outcomes</li>\n<li>Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency</li>\n<li>Partner cross-functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>5+ years of software engineering experience, ideally in high-growth, product-focused environments</li>\n<li>Proven track record of shipping production systems at scale</li>\n<li>Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability</li>\n<li>Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling</li>\n<li>Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal</li>\n<li>Strong product sense and ability to translate ambiguous problems into technical solutions</li>\n<li>Comfortable working in a fast-paced, high-ownership environment with a bias toward execution</li>\n</ul>\n<p>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&#39;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.</p>\n<p>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.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_f456c21b-73f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4591298005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,000-$270,000 USD","x-skills-required":["TypeScript","React","Node.js","MongoDB","Elasticsearch","Temporal"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:59:07.641Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"TypeScript, React, Node.js, MongoDB, Elasticsearch, Temporal","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fb1f459e-b3a"},"title":"Machine Learning Research Scientist / Engineer, Reasoning","description":"<p>About Scale</p>\n<p>At Scale, our mission is to accelerate the development of AI applications. We&#39;re looking for a Machine Learning Research Scientist/Engineer to join our team and help us shape the future of AI.</p>\n<p>This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). You will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale&#39;s data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning.</p>\n<p>Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents</li>\n<li>Shape Scale&#39;s data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning</li>\n<li>Contribute to impactful research on language model reasoning</li>\n<li>Collaborate with external researchers</li>\n<li>Work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow</li>\n<li>A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.)</li>\n<li>At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning</li>\n<li>Strong written and verbal communication skills, along with the ability to work effectively across teams</li>\n</ul>\n<p>Nice to Have</p>\n<ul>\n<li>Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX</li>\n<li>Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents</li>\n<li>Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar</li>\n<li>Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH</li>\n<li>Proficiency in cloud-based ML development, with experience in AWS or GCP environments</li>\n</ul>\n<p>Benefits</p>\n<ul>\n<li>Comprehensive health, dental and vision coverage</li>\n<li>Retirement benefits</li>\n<li>A learning and development stipend</li>\n<li>Generous PTO</li>\n<li>Commuter stipend</li>\n</ul>\n<p>Salary Range</p>\n<p>$252,000-$315,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_fb1f459e-b3a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4605596005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$252,000-$315,000 USD","x-skills-required":["PyTorch","JAX","TensorFlow","Large Language Models (LLMs)","Planning Algorithms","Agentic Reasoning","Data Generation","Model Interaction","Evaluation"],"x-skills-preferred":["Agent Frameworks","Cloud-Based ML Development","AWS","GCP","STaR","PLANSEARCH"],"datePosted":"2026-04-18T15:59:07.207Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; Seattle, WA; New York, NY"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PyTorch, JAX, TensorFlow, Large Language Models (LLMs), Planning Algorithms, Agentic Reasoning, Data Generation, Model Interaction, Evaluation, Agent Frameworks, Cloud-Based ML Development, AWS, GCP, STaR, PLANSEARCH","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":252000,"maxValue":315000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_57b68e62-1e8"},"title":"Channel Manager","description":"<p>As Channel Manager, you will own and grow Scale AI&#39;s partner and channel ecosystem in Qatar - identifying, developing, and managing relationships with the technology partners, system integrators, and resellers that extend our reach across the market.</p>\n<p>You will work closely with the Country Lead and the broader go-to-market team to build a partner network that accelerates Scale&#39;s mission in Qatar and delivers measurable impact for government and enterprise customers.</p>\n<p>This is a high-impact, high-ownership role at the heart of one of Scale&#39;s most strategically significant markets. You will be operating at the intersection of national AI ambition and enterprise transformation and the work you do will directly shape how Qatar&#39;s institutions and organisations adopt and benefit from AI.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build and manage Scale AI&#39;s channel partner ecosystem in Qatar - identifying, recruiting, and onboarding Global &amp; Local system integrators, technology partners, and value-added resellers aligned with Scale&#39;s mission and market priorities.</li>\n</ul>\n<ul>\n<li>Drive partner-sourced pipeline and revenue working with partners to identify opportunities, structure joint go-to-market motions, and accelerate deals across government and enterprise segments.</li>\n</ul>\n<ul>\n<li>Develop and execute joint business plans with key partners setting clear objectives, aligning on priorities, and holding partners accountable to agreed outcomes.</li>\n</ul>\n<ul>\n<li>Enable partners to effectively represent Scale AI&#39;s portfolio designing and delivering training, certification, and enablement programmes that build genuine product and solution fluency.</li>\n</ul>\n<ul>\n<li>Serve as the primary relationship owner for Scale&#39;s channel partners in Qatar building deep, trusted relationships at the leadership level that position Scale as a long-term strategic partner.</li>\n</ul>\n<ul>\n<li>Collaborate cross-functionally with sales, solutions engineering, marketing, and the Country Lead to ensure channel activity is aligned with Scale&#39;s broader go-to-market strategy in Qatar.</li>\n</ul>\n<ul>\n<li>Track, report, and optimise channel performance maintaining accurate pipeline visibility, monitoring partner KPIs, and continuously improving the channel programme based on data and market feedback.</li>\n</ul>\n<ul>\n<li>Represent Scale AI at industry events, forums, and partner engagements across Qatar building the brand and expanding the network in a market where relationships and presence matter.</li>\n</ul>\n<p>What we&#39;re looking for:</p>\n<ul>\n<li>7+ years of experience in channel management, partner development, or enterprise go-to-market roles within the technology sector.</li>\n</ul>\n<ul>\n<li>Proven track record of building and scaling channel ecosystems in the Gulf region with deep knowledge of the Qatar market, its institutions, and its partner landscape.</li>\n</ul>\n<ul>\n<li>Strong understanding of AI, data, and enterprise software able to articulate Scale AI&#39;s value proposition fluently to technical and non-technical audiences alike.</li>\n</ul>\n<ul>\n<li>Exceptional relationship management skills able to build trust and operate with credibility at the C-suite and ministry level.</li>\n</ul>\n<ul>\n<li>Highly organised and data-driven, comfortable managing complex partner portfolios, pipeline reporting, and performance metrics with rigour and precision.</li>\n</ul>\n<ul>\n<li>Fluency in Arabic and English - both written and spoken, with the cultural intelligence to operate effectively across diverse stakeholder environments.</li>\n</ul>\n<ul>\n<li>Based in Doha, Qatar or willing to relocate. This is an on-site role requiring active presence in the market.</li>\n</ul>\n<p>Nice to haves:</p>\n<ul>\n<li>Prior experience at a leading technology company operating in Qatar or the broader GCC particularly in a channel, partnerships, or public sector go-to-market capacity.</li>\n</ul>\n<ul>\n<li>Existing relationships with key system integrators, technology partners, or government entities in Qatar.</li>\n</ul>\n<ul>\n<li>Familiarity with AI platforms, data infrastructure, or enterprise software ecosystems.</li>\n</ul>\n<ul>\n<li>Experience contributing to or operating within a national AI or digital transformation agenda.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_57b68e62-1e8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4682686005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["channel management","partner development","enterprise go-to-market","AI","data","enterprise software","relationship management","data-driven","complex partner portfolios","pipeline reporting","performance metrics"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:58:41.597Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Doha, Qatar"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"channel management, partner development, enterprise go-to-market, AI, data, enterprise software, relationship management, data-driven, complex partner portfolios, pipeline reporting, performance metrics"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7eae126b-eb2"},"title":"Senior Accountant","description":"<p>We&#39;re seeking a highly motivated Senior Accountant to join our growing accounting team. As a Senior Accountant, you will assist in preparing day-to-day corporate accounting operations, supporting the month-end close process, and helping to implement systems and processes that will support Scale as we continue to grow.</p>\n<p>The ideal candidate thrives in a high-growth start-up, is detail-oriented, and has excellent interpersonal and communication skills. Additionally, the candidate has demonstrated the ability to build scalable cross-functional relationships through systems and process implementation.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Prepare journal entries and day-to-day corporate accounting activities, support the month-end close process, and provide timely and accurate month-end close financials that are U.S. GAAP compliant</li>\n<li>Build or enhance balance sheet account reconciliation workpaper including reviewing and performing some clean-up of historical reconciliations and related balances</li>\n<li>Collaborate within Accounting and Finance teams on metrics, flux analysis, forecast, and projections and support preparation of the monthly reporting package</li>\n<li>Prepare documents supporting internal and external audits and ensure the successful completion of those audits</li>\n<li>Support the implementation of new systems, tools, and processes to streamline close and build scalable solutions to support the growth of the Company</li>\n<li>Identify and drive process improvements to gain efficiencies and reduce close timeline</li>\n<li>Develop, maintain and improve internal controls which relate to assigned areas</li>\n</ul>\n<p>Ideally You Have:</p>\n<ul>\n<li>Bachelor’s degree in Accounting; CPA or in the process of working towards one</li>\n<li>3+ years of relevant accounting experience; Combination of public accounting (Big 4 strongly preferred) and industry experience (start-up through to becoming a public Company experience a plus)</li>\n<li>Strong knowledge of U.S. GAAP and SOX</li>\n<li>Experience with general ledger functions and the month-end/year-end close process is strongly preferred</li>\n<li>Experience with financial audit preparation is strongly preferred</li>\n<li>Proven proficiency of Microsoft Office Suite (Word, PowerPoint, etc); must be highly proficient in Excel</li>\n<li>Excellent writing, oral communication, analytical, organizational, and interpersonal skills with a high attention to detail</li>\n<li>Excellent problem-solving skills; project management experience a plus, ability to work in a fast-paced environment</li>\n</ul>\n<p>Nice to Haves:</p>\n<ul>\n<li>Direct accounting experience for any/all of the following areas: accruals, investment, internally used software, ASC 842 leases, cloud computing arrangement, stock-based compensation and/or consolidation and Fx.</li>\n<li>Proficiency in SQL, NetSuite, FloQast, Coupa, and Jira considered a plus</li>\n</ul>\n<p>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.</p>\n<p>About Us:</p>\n<p>At Scale, our mission is to develop reliable AI systems for the world&#39;s most important decisions. Our products provide the high-quality data and full-stack technologies that power the world&#39;s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_7eae126b-eb2","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4663533005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$92,000-$115,000 USD","x-skills-required":["U.S. GAAP","SOX","Microsoft Office Suite","Excel","General Ledger Functions","Month-End/Year-End Close Process"],"x-skills-preferred":["SQL","NetSuite","FloQast","Coupa","Jira"],"datePosted":"2026-04-18T15:58:41.071Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"U.S. GAAP, SOX, Microsoft Office Suite, Excel, General Ledger Functions, Month-End/Year-End Close Process, SQL, NetSuite, FloQast, Coupa, Jira","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":92000,"maxValue":115000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7d049b67-925"},"title":"Senior Software Engineer, Billing Platform","description":"<p>About Scale At Scale AI, our mission is to accelerate the development of AI applications.</p>\n<p>We&#39;re looking for entrepreneurial Software Engineers to join our Billing Platform team. In this role, you&#39;ll have the opportunity to drive the revenue tracking and billing system for our Generative AI products.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Design, implement, and operate flexible and accurate financial systems</li>\n<li>Work across backend, frontend, and accounting-related systems</li>\n<li>Deliver at a high velocity and level of quality to engage our customers</li>\n<li>Work across the entire product lifecycle from conceptualization through production</li>\n<li>Be able, and willing, to multi-task and learn new technologies quickly</li>\n<li>Provide critical input in the Billing team’s roadmap and technical direction</li>\n<li>Work closely with cross-functional partners like finance, product, software engineers, and operations to identify opportunities for business impact, understand, refine and prioritize requirements for billing schemes and financial infrastructure.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>5+ years of software engineering experience, ideally in high-growth, product-focused environments</li>\n<li>Proven track record of shipping production systems at scale</li>\n<li>Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability.</li>\n<li>Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling</li>\n<li>Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal</li>\n<li>Strong product sense and ability to translate ambiguous problems into technical solutions</li>\n<li>Comfortable working in a fast-paced, high-ownership environment with a bias toward execution</li>\n<li>Excited to join a dynamic hybrid team based in San Francisco or New York City</li>\n</ul>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. 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This role is focused on selling complex, highly technical AI solutions into F500 organisations, partnering with executive, technical, and operational stakeholders to drive long-term value and expansion.</p>\n<p>You will be responsible for full-cycle enterprise sales - from prospecting and deal strategy through close, renewal, and expansion - while serving as the quarterback across internal teams including Solutions Engineering, Product, Research, and Operations. This role requires strong ownership, executive presence, and the ability to navigate multi-stakeholder enterprise buying processes in a fast-paced environment.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own and drive relationships with Scale&#39;s largest and most complex Fortune 500 prospects and customers</li>\n<li>Build trusted relationships with executive, technical, and operational stakeholders across multiple business units</li>\n<li>Develop and execute comprehensive account strategies to drive net-new revenue, expansion, and long-term partnerships</li>\n<li>Lead strategic deal planning and mutual close plans across new business, renewals, and expansions</li>\n<li>Partner closely with Solutions Engineering and Product teams to deliver compelling, technically credible value propositions</li>\n<li>Act as the voice of the customer internally, influencing product roadmap, research priorities, and delivery execution</li>\n<li>Maintain deep understanding of customer business goals, AI maturity, and industry trends to proactively identify opportunities</li>\n<li>Consistently communicate account health, pipeline, and forecast accuracy using Salesforce, Clari, and related tools</li>\n</ul>\n<p>Ideally, You Will Have:</p>\n<ul>\n<li>8+ years of enterprise sales or account management experience, including 2+ years selling deeply technical solutions to both business and technical audiences</li>\n<li>A proven track record of closing and expanding large, complex enterprise deals</li>\n<li>Demonstrated success consistently achieving or exceeding quota in enterprise sales roles</li>\n<li>Experience building and executing long-term account strategies to drive sustained revenue growth</li>\n<li>Strong ability to lead enterprise renewal processes from strategy through close</li>\n<li>Excellent written and verbal communication skills, with comfort presenting to executive audiences</li>\n<li>Strong command of enterprise sales processes and systems (Salesforce, Clari, Outreach, Slack)</li>\n<li>A consultative, customer-first mindset with the ability to influence cross-functional internal teams</li>\n<li>Experience developing executive-level materials and business cases</li>\n<li>Strong project management, organisational skills, and attention to detail</li>\n<li>Technical background or strong technical curiosity highly valued, especially familiarity with AI, ML, or data platforms</li>\n</ul>\n<p>Sales Commission:</p>\n<p>This role is eligible to earn commissions. 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.</p>\n<p>Benefits:</p>\n<p>Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.</p>\n<p>Additional benefits may include a commuter stipend.</p>\n<p>Salary Range:</p>\n<p>$207,200 - $259,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_52e9ea6f-e2a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://www.scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4646946005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$207,200 - $259,000 USD","x-skills-required":["Enterprise sales","Account management","Technical sales","Executive presence","Communication skills","Project management","Organisational skills","Attention to detail","AI","ML","Data platforms"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:15.121Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"Enterprise sales, Account management, Technical sales, Executive presence, Communication skills, Project management, Organisational skills, Attention to detail, AI, ML, Data platforms","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":207200,"maxValue":259000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0b5f056b-3e6"},"title":"Product Manager, Data Engine","description":"<p><strong>The Mission\\n\\nScale AI is leading the AI revolution, developing reliable AI applications for the world&#39;s most important decisions. For the Public Sector, we translate this mission into operational advantage for our government customers.\\n\\n## Job Description\\n\\nWe are looking for a technical, high-horsepower Product Manager to lead the evolution of the Public Sector Data Engine. This team believes that the data engine, capable of producing “n” models, is more important than any single model. This role is focused on building tools that can measure and improve the computer vision and generative AI models at the heart of critical national security systems. You won’t just be managing a roadmap; you will be building the ML Ops infrastructure that allows the government to spin the ML Ops flywheel to develop reliable AI. This work will span both Computer Vision and Generative AI.\\n\\n## Responsibilities\\n\\n- Architect the AI Engine: Drive the roadmap for Public Sector ML Ops tools, ensuring they serve as the &quot;ground truth&quot; foundation for building, evaluating, and deploying AI systems.\\n\\n- Bridge Custom &amp; Scale: Support diverse customer profiles,from massive-scale satellite and video labeling engagements to complex, bespoke ML Ops partnerships.\\n\\n- Own Technical Scoping: Partner with Engineering to make high-stakes design decisions on infrastructure, APIs, and model evaluation frameworks (T&amp;E).\\n\\n- Operationalize Collaboration: Use high EQ and structured thinking to align Engineering, Operations, and elite Government stakeholders.\\n\\n## Ideal Candidate\\n\\n- Technical by Core: You have a background in Software Engineering, Field Engineering, or Vision Systems. You can read code, understand system architecture, and earn the immediate respect of world-class engineers.\\n\\n- ML/CV Experience: You have experience in Computer Vision or ML Ops. You understand the lifecycle of a model,from data acquisition to Test &amp; Evaluation.\\n\\n- Grit: You possess a &quot;whatever-it-takes&quot; drive. You are comfortable running through walls, grinding through ambiguity, and delivering results in high-pressure environments.\\n\\n- Structured Thinker, but Action Oriented: You can take a challenging problem, decompose it, create action plans, and drive results.\\n\\n## Benefits\\n\\nCompensation 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.\\n\\n## Salary Range\\n\\nThe base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $205,600-$257,000 USD\\n\\nThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is: $212,800-$266,000 USD\\n\\nThe base salary range for this full-time position in the location of St. Louis is: $177,600-$222,000 USD</strong></p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0b5f056b-3e6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4670064005","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$177,600-$257,000 USD","x-skills-required":["Software Engineering","Field Engineering","Vision Systems","Computer Vision","ML Ops","System Architecture","APIs","Model Evaluation Frameworks"],"x-skills-preferred":["Security Clearance","Advanced Degree","Computer Vision Expertise"],"datePosted":"2026-04-18T15:57:14.290Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software Engineering, Field Engineering, Vision Systems, Computer Vision, ML Ops, System Architecture, APIs, Model Evaluation Frameworks, Security Clearance, Advanced Degree, Computer Vision Expertise","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":177600,"maxValue":257000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_07b35bd1-4bf"},"title":"Forward Deployed AI Engineering Manager, GenAI Applications","description":"<p>At Scale AI, we are not just building AI tools. We are pioneering the next era of enterprise AI.</p>\n<p>As businesses rush to harness the potential of Generative AI, Scale is leading the way, transforming workflows, automating complex processes, and driving real-world impact for the world’s largest enterprises and government organizations.</p>\n<p>Our Scale Generative AI Platform (SGP) powers production-grade GenAI applications with foundational services, APIs, and infrastructure that accelerate adoption across industries.</p>\n<p>We are looking for a technical and strategic Engineering Manager to lead our European FDE team.</p>\n<p>This is a high-ownership role at a pivotal moment. You will be responsible for delivering high-impact GenAI solutions in production, leading a team that works directly with customers, and ensuring we solve real problems with clarity, speed, and excellence.</p>\n<p>Why this role is unique:</p>\n<ul>\n<li>Right place, right time: We are moving from prototypes to production at scale. 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Agent Development is in its nascent stages in a rapidly changing industry, with limited tooling making it hard for agent developers to manage agent lifecycles.\\n\\nAs a team that has a front-row seat to what Enterprise customers need and want, we want to build an opinionated but flexible platform for all Agent operations (&quot;AgentOps&quot;), including building, deploying, monitoring, evaluating and improving agents to solve customer needs.\\n\\nWith the AI industry currently moving towards RL workflows that need verifiable rewards, we further want to gear this platform towards knowledge capture that create compounding effects to make Agents more effective and capable.\\n\\nResponsibilities:\\n\\n<em> Manage the engineering team and drive technical delivery\\n</em> Comfortable working cross functionally, whether that be internal or external customers\\n<em> Work across the entire product lifecycle from conceptualization through production\\n</em> Build features end-to-end: back-end, system design, debugging and testing\\n<em> Deliver experiments at a high velocity and level of quality to engage our customers\\n</em> Influence the culture, values, and processes of a growing engineering team\\n<em> Inspire and mentor engineers\\n</em> Collaborating with cross-functional teams to define, design, and ship new product features and experiences\\n\\nRequirements:\\n\\n<em> At least 5 years of relevant experience and at least 2 years of experience managing engineers is preferred\\n</em> Proven success in leading, managing, and developing high-performing Engineering teams\\n<em> Expertise in identifying product engagement patterns and trends for large scale consumer products\\n</em> Track record of shipping high-quality products and features at scale\\n<em> Desire to work in a very fast-paced environment\\n</em> Ability to turn business and product ideas into engineering solutions\\n* Excellent problem-solving skills, and be able to work independently or as part of a team.\\n\\nCompensation packages at Scale for eligible roles include base salary, equity, and benefits. 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improvement of Scale AI&#39;s finance technology stack.</p>\n<p>You are a builder-first leader who blends enterprise architecture with AI automation - eliminating manual workflows, tightening the financial data fabric, and enabling the Finance team to move with the speed and rigor the business demands.</p>\n<p>You will be the primary technology partner to the Finance leadership team, and the person ultimately accountable for the reliability, scalability, and intelligence of every system that touches the financial close, revenue, and spend lifecycle.</p>\n<p><strong>Key Responsibilities</strong></p>\n<p><strong>ERP Ownership &amp; Optimization</strong></p>\n<p>Own the full lifecycle of our ERP environment (NetSuite or equivalent), including architecture, configuration, integrations, and roadmap.</p>\n<p>Ensure the platform reliably supports the General Ledger, AP, AR, Procure-to-Pay, Fixed Assets, Revenue Recognition, Sales Audit, and International Consolidations &amp; 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systems to the general ledger and reporting layer.</p>\n<p><strong>Operational Excellence &amp; Controls</strong></p>\n<p>Establish disciplined change management, clear data governance, and measurable SLAs across all financial systems.</p>\n<p>Stabilize environments to support audit readiness, SOX compliance, and regulatory requirements.</p>\n<p><strong>Finance Stakeholder Partnership</strong></p>\n<p>Serve as the primary technology partner to the CFO, Controller, FP&amp;A, and Accounting teams.</p>\n<p>Translate complex technical constraints into business outcomes and align system roadmaps with Finance&#39;s strategic priorities.</p>\n<p><strong>Team Leadership</strong></p>\n<p>Build and lead a high-impact Finance Systems team.</p>\n<p>Foster a culture of curiosity, speed, and user-centricity , where the team is as proud of a clean reconciliation workflow as any external product shipped.</p>\n<p><strong>What You&#39;ll Bring</strong></p>\n<ul>\n<li>8+ years of experience leading finance systems or enterprise application functions in a fast-paced, high-growth environment</li>\n</ul>\n<ul>\n<li>Deep, hands-on knowledge of ERP platforms (NetSuite strongly preferred) across core modules: GL, AP, AR, Fixed Assets, Revenue Recognition, Procure-to-Pay, Sales Audit, and International Consolidations</li>\n</ul>\n<ul>\n<li>Strong understanding of Order-to-Cash and Procure-to-Pay process design, including the touchpoints between upstream sales/procurement systems and the ERP</li>\n</ul>\n<ul>\n<li>Strong understanding of Sox IT General controls and track record implementing them</li>\n</ul>\n<ul>\n<li>Proven track record designing and deploying AI/LLM-powered workflows or agentic systems to improve Finance team efficiency</li>\n</ul>\n<ul>\n<li>Ability to design and govern scalable integrations and data flows across SaaS tools</li>\n</ul>\n<ul>\n<li>Experience influencing Finance leadership, translating technical complexity into clear business decisions</li>\n</ul>\n<ul>\n<li>Proficiency in an iPaaS platform (e.g., Workato, Mulesoft, Boomi, etc.)</li>\n</ul>\n<ul>\n<li>Workato Certification is a big plus</li>\n</ul>\n<ul>\n<li>Proficiency in Python or SQL to personally prototype, audit, and quality-check automation logic</li>\n</ul>\n<ul>\n<li>Familiarity with adjacent Finance tooling: expense management, FP&amp;A platforms, billing systems, and treasury tools</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits.</p>\n<p>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.</p>\n<p>Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval.</p>\n<p>Your recruiter 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this a unique and exciting role at the heart of Scale’s daily operations.</p>\n<p>Ideal candidates are scrappy, analytical, empathetic, outcome-focused, and above all, someone who drives and inspires results.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build and drive some of our most critical operational processes</li>\n</ul>\n<ul>\n<li>Own the day-to-day delivery of customer commitments</li>\n</ul>\n<ul>\n<li>Create an effective feedback loop between the front line, product, strategy, and customers</li>\n</ul>\n<ul>\n<li>Collaborate with stakeholders to improve processes for new and existing customers</li>\n</ul>\n<p>Ideally, you&#39;d have:</p>\n<ul>\n<li>Advanced English skills</li>\n</ul>\n<ul>\n<li>Industry experience (+2) in an operational role and/or a top-tier consulting firm</li>\n</ul>\n<ul>\n<li>An undergraduate degree with an analytics-heavy major (e.g., Engineering or Economics) and/or a graduate degree in Engineering, Economics, or Business</li>\n</ul>\n<ul>\n<li>An 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technical program manager (TPM) to lead and coordinate delivery of agentic workflows for a national security customer.</p>\n<p>As a TPM on our public sector delivery team, you will support a large account plan, develop a technical roadmap with end user input, and partner with an engineering lead to ensure effective technical delivery.</p>\n<p>This role is ideal for someone who has deep curiosity about end user pain points, loves rapid prototyping, and wants to work in a fast-paced, ambiguous, and mission-driven environment.</p>\n<p>You will drive innovation and transformation by diving deep into technical and operational challenges unique to government use cases.</p>\n<p>Develop a program-level technical roadmap for transitioning generative AI technologies and processes into prototypes and working products even when requirements are undefined or ambiguous.</p>\n<p>Partner with Scale engineering, operations, and other public sector teams to build and deliver impactful agentic AI solutions.</p>\n<p>Must haves:</p>\n<p>An active TS/SCI clearance</p>\n<p>5+ years of work experience leading technical teams in industry or government</p>\n<p>A technical background (education or professional experience with computer science or engineering)</p>\n<p>A deep understanding of ML operations process</p>\n<p>A track record of structured, analytics-driven problem-solving</p>\n<p>Excellent verbal and written communication skills</p>\n<p>Willingness to be onsite with the customer in the Colorado Springs area 4 days per week and able to travel at least 25% of the time (as needed)</p>\n<p>We have a diverse team with a variety of skill sets, many have:</p>\n<p>10+ years of professional experience, often in a customer-facing technical program management role in industry or government.</p>\n<p>Proficiency in Python, SQL or other programming languages</p>\n<p>A proven track record in B2B client facing roles and expanding client relationships</p>\n<p>Prior experience delivering technical solutions to government customers</p>\n<p>Domain expertise in a relevant field (e.g. modeling and simulation, joint planning processes, intelligence workflows, etc)</p>\n<p>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.</p>\n<p>Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval.</p>\n<p>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.</p>\n<p>You’ll also receive benefits including, but not limited to:</p>\n<p>Comprehensive health, dental and vision coverage,</p>\n<p>retirement benefits,</p>\n<p>a learning and development stipend,</p>\n<p>and generous PTO.</p>\n<p>Additionally, this role may be eligible for additional benefits such as a commuter stipend.</p>\n<p>Please reference the job posting&#39;s subtitle for where this position will be located.</p>\n<p>For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC and Colorado is: $195,800-$279,400 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0a9876bc-439","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4667852005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$195,800-$279,400 USD","x-skills-required":["Python","SQL","ML operations process","structured, analytics-driven problem-solving","verbal and written communication skills"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:38:24.351Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Colorado Springs, CO"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, SQL, ML operations process, structured, analytics-driven problem-solving, verbal and written communication skills","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":195800,"maxValue":279400,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a74f0099-03e"},"title":"Technical Accounting and Reporting Manager","description":"<p>We are seeking a highly motivated Manager, Technical Accounting and Reporting to join our growing accounting team. This individual will be exposed to new accounting standards and advanced accounting research topics on complex transactions that will allow for continued learning and development.</p>\n<p>In this role, you will have the opportunity to work in a dynamic, fast-paced, high-growth environment. We are looking for a detail-oriented, self-motivated team player who is passionate about delivering quality results.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Analyzing and operationalizing complex transactions in accordance with U.S. GAAP, including those related to stock-based compensation, business combinations, leases, capitalized software, and equity.</li>\n</ul>\n<ul>\n<li>Collaborating cross-functionally with internal stakeholders throughout the organization (e.g., legal, finance, corporate accounting) and external stakeholders (e.g., auditors, valuation specialists).</li>\n</ul>\n<ul>\n<li>Developing and maintaining Scale’s accounting policies in alignment with U.S. GAAP and evolving business needs.</li>\n</ul>\n<ul>\n<li>Preparing consolidated financial statements and related footnotes for audit.</li>\n</ul>\n<ul>\n<li>Supporting monthly accounting process, including preparation or review of journal entries related to technical accounting transactions.</li>\n</ul>\n<ul>\n<li>Monitoring, assessing, and implementing new accounting pronouncements applicable to the company.</li>\n</ul>\n<p>Ideal candidates will have:</p>\n<ul>\n<li>A Bachelor’s degree with a major in accounting; CPA heavily preferred.</li>\n</ul>\n<ul>\n<li>5+ years of progressive experience in public accounting (or a combination of public accounting and private industry experience); Big 4 experience preferred.</li>\n</ul>\n<ul>\n<li>In-depth knowledge of U.S. GAAP and financial reporting requirements, including the ability to research and apply technical guidance.</li>\n</ul>\n<ul>\n<li>Ability to prioritize tasks and solve problems in a fast-paced environment.</li>\n</ul>\n<ul>\n<li>Proven ability to communicate complex accounting concepts clearly.</li>\n</ul>\n<ul>\n<li>Experience developing and operationalizing accounting policies and procedures.</li>\n</ul>\n<ul>\n<li>Excellent problem-solving skills and high level of attention to detail.</li>\n</ul>\n<p>Nice to haves:</p>\n<ul>\n<li>Experience working in a high-growth startup environment.</li>\n</ul>\n<ul>\n<li>Experience with our key systems (NetSuite, Workiva).</li>\n</ul>\n<p>Compensation packages at Scale for eligible roles include base salary, equity, and benefits. 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Strong communication and collaboration skills.</p>\n<p>Please note that our policy requires a 90-day waiting period before reconsidering candidates for the same role.</p>\n<p>About Us:</p>\n<p>At Scale, our mission is to develop reliable AI systems for the world&#39;s most important decisions.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d301fe8d-333","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4623605005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Machine Learning","NLP","Electronic Health Records","Non-Clinical Data","Bias and Fairness in AI"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:36:50.499Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, NLP, Electronic Health Records, Non-Clinical Data, Bias and Fairness in AI"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dc3193ff-419"},"title":"Technical Advisor Specialist (Part-Time Internship)","description":"<p><strong>About the Program</strong></p>\n<p>The Technical Advisor Specialist (Part-Time Internship) role is a summer semester opportunity designed for university students, ideally with experience in competitive coding, mathematics, and STEM disciplines.</p>\n<p>These Specialists will immerse themselves in real-world projects that push the boundaries of generative AI, gaining firsthand exposure to cutting-edge research and technology.</p>\n<p>Throughout the program, you’ll have the freedom to work flexibly around your academic schedule, the chance to connect directly with AI experts, and the support of a team that values your contributions and professional growth.</p>\n<p><strong>What You&#39;ll Do</strong></p>\n<ul>\n<li>Contribute to Cutting-Edge AI Projects: Work on initiatives aimed at advancing AI capabilities,such as training models for complex reasoning tasks or identifying model failure modes.</li>\n</ul>\n<p>You’ll gain exposure to state-of-the-art technologies and research, enhancing your technical expertise.</p>\n<ul>\n<li>Join Focus Groups: Participate in bi-weekly sessions where you’ll exchange insights, discuss evolving AI techniques, and learn from experienced researchers.</li>\n</ul>\n<p>This forum encourages deep exploration of topics and helps you develop critical thinking and communication skills.</p>\n<ul>\n<li>Engage in Team-Based Projects: Collaborate with small groups of specialists on creative challenges,ranging from drafting blog-style content to conceptualizing innovative AI solutions.</li>\n</ul>\n<p>By working closely with peers, you’ll refine your teamwork, leadership, and problem-solving abilities.</p>\n<ul>\n<li>Work Independently &amp; Flexibly: Set your own working hours, ensuring you can prioritize your academic life while still making meaningful progress.</li>\n</ul>\n<p>The environment is structured to accommodate your schedule without compromising the quality of your contributions.</p>\n<p><strong>Who Should Apply</strong></p>\n<ul>\n<li>Academic Background: Enrolled students in computer science, mathematics, engineering, or a related STEM field.</li>\n</ul>\n<ul>\n<li>Technical Skills: Demonstrated coding proficiency, strong analytical abilities, or experience with competitive math or programming competitions.</li>\n</ul>\n<ul>\n<li>Mindset: Curious, self-motivated, and eager to learn, contribute, and collaborate with like-minded peers and industry experts.</li>\n</ul>\n<p><strong>Why Join Us?</strong></p>\n<ul>\n<li>Real-World Impact: Your work will have tangible influence on the direction of AI capabilities, giving you a sense of purpose and involvement that goes beyond typical internship work.</li>\n</ul>\n<ul>\n<li>Professional Growth &amp; Networking: Connect one-on-one with AI professionals, build relationships with fellow specialists, and expand your industry network.</li>\n</ul>\n<ul>\n<li>Optional In-Person Meetups: Opt to join occasional regional gatherings to meet peers and Scale AI personnel face-to-face.</li>\n</ul>\n<p>These events provide opportunities for more personal interactions, fostering deeper connections and insights that complement your remote work.</p>\n<ul>\n<li>Pathways to the Future: Exceptional specialists may be invited to continue working with Scale AI.</li>\n</ul>\n<p>Alumni networks and ongoing support keep doors open for future collaborations and career advancement.</p>\n<ul>\n<li>Compensation &amp; Flexibility: $50/hour; 5-20 hours a week, and fully remote (within the U.S.)</li>\n</ul>\n<p><strong>Notes</strong></p>\n<p>Our policy requires a 90-day waiting period before reconsidering candidates for the same role.</p>\n<p>This allows us to ensure a fair and thorough evaluation of all applicants.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_dc3193ff-419","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale AI","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4611533005","x-work-arrangement":"remote","x-experience-level":"entry","x-job-type":"internship","x-salary-range":"$50/hour","x-skills-required":["competitive coding","mathematics","STEM disciplines","AI capabilities","model training","complex reasoning tasks","model failure modes"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:36:04.833Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"jobLocationType":"TELECOMMUTE","employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Technology","skills":"competitive coding, mathematics, STEM disciplines, AI capabilities, model training, complex reasoning tasks, model failure modes"}]}