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

You will:

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

Ideally you'd have:

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

Nice to haves:

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

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

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

Impact and Responsibilities:

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

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

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

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

Ideally you’d have:

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

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

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

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

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

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

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

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

Nice to haves:

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

• Experience scaling products at hyper-growth startups.

• Excitement to work with AI technologies.

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

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

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Your responsibilities will include:

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

Ideally, you'd have:

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

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

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

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You will drive the design, and implementation of our foundational platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements. You'll collaborate with cross-functional teams to define, design, and deliver new features. You'll also proactively identify opportunities for, and drive improvements to, current programming practices, including process enhancements and tool upgrades.

Ideally, you'd have 3+ years of full-time engineering experience, post-graduation with specialities in back-end systems. You should have extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred). You should show a track record of independent ownership of successful engineering projects. You should possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.

You should have experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc. You should have experience with orchestration platforms, such as Temporal and AWS Step Functions. You should have experience with NoSQL document databases (MongoDB) and structured databases (Postgres). You should have strong knowledge of software engineering best practices and CI/CD tooling (CircleCI).

Nice to haves include experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt). Experience with authentication/authorization systems (Zanzibar, Authz, etc.) is also a plus. Experience scaling products at hyper-growth startups is highly valued. Excitement to work with AI technologies is a must.

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Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. You'll own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems, leveraging our Scale Generative Platform (SGP) to build the most advanced AI agents across the industry.

Responsibilities:

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

Ideal candidate will have a love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals, a strong engineering background, deep familiarity with a data-driven approach when iterating on machine learning models, and experience working with cloud technology stack and developing machine learning models in a cloud environment.

Nice to have: strong knowledge of software engineering best practices, experience building applications taking advantage of Generative AI in real, production use cases, and familiarity with state of the art LLMs and their strengths/weaknesses.

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Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. You'll own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems, leveraging our Scale Generative Platform (SGP) to build the most advanced AI agents across the industry.

Responsibilities:

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

Ideally, you'd have:

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

Nice to haves:

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

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This position is needed to build and maintain reliable applications for Twilio's supply insights and trust. The work involves developing back-end applications and front-end for internal tools.

As a Software Engineer in the team, you will be partnering with product managers, architects, engineering managers and other engineers to develop features for Messaging Supply products. You will be developing our messaging supply platform with emphasis on interfaces for Twilio's suppliers to interact with Twilio, automation of manual tasks, and working on new features that support both internal and customer-facing applications.

Responsibilities:

• Design, develop, test and deploy features alongside a small, distributed collaborative team to build highly scalable and available services

• Collaborate other cross-functional teams, product managers, designers, and engineers to build compelling user experiences for developers and end users

• Ensure quality by writing unit, integration, and load tests, as well as conducting thorough code reviews.

• Work independently to troubleshoot/determine resolution for issues in your team's domain

• Build new features for both internal and customer-facing applications to ensure seamless integration and great customer experience

Qualifications:

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• At least 2 years of experience with full-stack software engineering

• Strong Computer Science fundamentals, not limited to data structures, algorithms, operating systems, and distributed systems

• Knowledge of processes and engineering best practices in all phases of the software development lifecycle, such as testing and devops standards

• Proficiency in at least one programming language, web stack and framework

• Strong oral and written communication skills (in English): be prepared to frequently propose and discuss ideas and implementation details with your teammates, as well as involving other stakeholders in Twilio - we’re one single team, no one flies solo!

Desired:

• Experience working with Java frameworks like Spring, Hibernate, Dropwizard.

• Experience working with React or a different web development framework

• Good understanding of DevOps CI/CD pipeline

• Experience working with agile/scrum methodologies

• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)

• Experience documenting your solutions and proposals

Location

This role will be remote from Estonia.

Travel

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings.

What We Offer

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Twilio thinks big. Do you?

We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values , something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions.

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This position is needed to develop the future platform of communications. Twilio SMS Engineering is looking for a Software Engineer to join our team to work on our SMS connectivity layer with the purpose to build and optimize for delivery.

You will be developing a complex distributed platform in Java and be concerned with availability, throughput, latency, and data integrity. At the core are cloud technologies that enable deployment and management of computing resources globally.

Responsibilities:

• Design, develop, test and deploy features alongside an experienced, distributed collaborative team

• Participating in code reviews to ensure code quality and adherence to coding standards.

• Work independently to troubleshoot/determine resolution for issues in your team's domain

• Managing your work through the use of Github, Jira, and our build/deploy systems

• Ensure quality by writing unit-, integration- and load-tests

• Collaborating with cross-functional teams to define, design, and ship new features.

Qualifications:

Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.

If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio.

We are always looking for people who will bring something new to the table!

*Required:

• Experience with Java frameworks such as Dropwizard, Spring, Hibernate, or similar.

• Experience with cloud services (AWS preferred, Google, Azure etc.)

• Strong Computer Science fundamentals not limited to data structures, algorithms, operating systems, and distributed systems

• Knowledge of processes and engineering best practices in all phases of the software development life cycle

• Readiness to participate in the on-call rotation

• Strong communication skills and desire to make an impact and thrive in small, collaborative, energetic teams

Desired:

• Experience with microservice architecture

• Experience working with Agile/Scrum methodologies

• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)

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You will help build a worldwide dataset for our exploration program, with careful attention to identifying and quantifying uncertainty in the data and predictions.

You will create models and develop software to accelerate discovery of critical battery metals.

You will join an outstanding team of data scientists and engineers and work closely with (*applicant's) world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits.

Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce uncertainty in our predictions and guide the next phase of field work.

Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems.

As one of the early members of this team, you will help build these tools from the ground up.

Responsibilities:

• Help develop KoBold's proprietary software exploration tools.
• Find and curate geophysical, geochemical, geologic, and geographic data and integrate it into KoBold's proprietary data system.
• Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth's crust.
• Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.
• Develop and apply data processing, statistical, and physics-based techniques to geoscientific data , from computer vision to geophysical inversions , and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.
• Present to and collaborate with our external partners and stakeholders.

Qualifications:

• Technical skills, including extensive experience with Python's data science packages and general software engineering practices.
• Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.
• Cloud computing resources.
• Building predictive models, applying them to different problems, and evaluating and interpreting the results.
• Data from a variety of physical systems.
• Geospatial analyses and visualizations.

Technical knowledge:

• Broad skills in and knowledge of applied statistics and Bayesian inference.
• Substantial understanding of machine learning algorithms.

Training and work experience:

• An advanced degree in the physical sciences, engineering, computer science, or mathematics.
• A minimum work experience of 4 years post PhD or 8 years post MS, ideally as a data scientist or data engineer.
• Experience leading technical teams to apply novel scientific approaches to core business problems.

Work practices and motivation:

• Ability to take ownership and responsibility of large projects.
• Ability to explain technical problems to and collaborate on solutions with domain experts.
• Communicates well on a collaborative, cross-functional team.
• Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.
• Ability to independently prioritize multiple tasks effectively.
• Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain.
• Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field.
• Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.
• A valid passport and willingness to travel to observe our work at Mingomba or at an exploration site around the world.

Preferred skills include creating machine learning models on geospatial data, geostatistics, image processing or computer vision, and distributed computing applications for machine learning and other computations.

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Our full-stack antibody drug development platform uses machine learning to drive every stage from discovery to optimization. Our roboticized high-throughput wet-lab continually adds to our large proprietary datasets, which are piped through a custom LIMS++ data management and orchestration layer to automatically update and deploy the latest models.

As a successful candidate, you will apply your world-class machine learning skillset to refine and expand this state-of-the-art protein engineering platform. Success will mean not only hands-on methods development, but helping shape the direction for future machine learning research, and actively participating in the application of our platform to the accelerated design of new therapeutics.

Key Responsibilities

• Design and implement the next state-of-the-art generative models of antibody sequence and structure, and predictive models of antibody properties, trained on proprietary internal datasets of thousands to millions of antibodies.
• Provide leadership, technical guidance, and mentorship to other machine learning and data science FTEs and interns.
• Help set strategy for future machine learning research, driven by a strong high-level understanding of BigHat programs and operations as well as real-world drug development challenges.
• Develop, refine, and deploy de novo design methods for generating initial hits to challenging, therapeutically interesting targets.
• Develop multi-modality, multi-objective iterative protein sequence optimization approaches to lab-in-the-loop antibody design problems for validation and deployment in our high-throughput wet lab - at BigHat success is only declared upon synthesis of real antibodies with drug-like properties.
• Maintain an in-depth understanding of the current state-of-the-art in machine learning-driven protein engineering, both in the literature and at BigHat.
• Share your findings at top-tier conferences and publish in leading scientific journals to advance the field of protein engineering.
• Provide machine learning expertise and support for ongoing therapeutics programs, directly contributing to the development of new drugs.
• Collaborate with our engineering team to ensure maximal efficiency in the automated and agentic deployment of our latest models to our therapeutics programs.
• Work closely with an interdisciplinary team of drug developers, wet lab scientists, automation specialists, data scientists, etc. to identify inefficiencies or potential improvements in BigHat’s platform, and plan and prioritize machine learning methods development accordingly.

Skills, Knowledge & Expertise

• PhD in machine learning/computer science or in the hard sciences with 5+ years experience post-graduation in developing and applying novel machine learning methods, and a strong quantitative background.
• Publications in major machine learning conferences and/or leading journals, and an extensive demonstrable track record developing and applying novel machine learning in industry.
• Strong competency in Python, familiarity with PyTorch, and experience with modern software engineering best practices.
• Excellent communication skills, sufficient biomedical domain knowledge to interact effectively with diverse scientific teams.
• Enjoys a fast-paced environment and excels at executing across multiple projects.
• Familiarity with the current state-of-the-art in machine learning-driven protein engineering
• Nice-to-haves include experience with de novo design, NGS data, Bayesian optimization, familiarity with antibody biology and drug development, and experience training and deploying models on AWS.

Benefits

The salary estimated for this position is $254,000 - $290,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.

What BigHat Offers:

• Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)
• Dental, and vision coverage through Guardian
• Additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more
• 401(k) with company match
• DTO, two weeks of company-wide shutdown, and 12 company holidays
• Paid parental leave

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As a vital member of the Compliance team, you will have the opportunity to support the design, implementation, and optimization of compliance programs across all applicable Anchorage Digital legal entities.

You will work closely with various compliance functions, particularly Financial Crimes Compliance, to drive efficiency and effectiveness within the program.

Your expertise will be critical in transforming raw data into actionable insights, driving process improvements, and leveraging technology to enhance our overall compliance posture.

This role is ideal for a proactive and 'young and hungry' technologist who thrives on solving complex problems in a dynamic regulatory environment.

You'll gain deep exposure to diverse compliance domains and have the chance to apply your data expertise to strengthen Anchorage Digital's global compliance function through analytics, automation, and the strategic use of AI tools.

It is important that you are well-organized, have a strong analytical background, can effectively manage competing priorities, and can adapt to rapid change in a fast-paced environment.

If you thrive under uncertainty and are motivated to excel in a dynamic environment with competing priorities, this role is designed for you.

Anchorage Digital values individuals who are proactive, detail-oriented, and innovative.

Technical Skills:

• Expert in Compliance-related data tables and models, understanding the nuances of the data, the underlying codes, and the limitations of the models.

• Work with stakeholders to drive the automation of key compliance processes and workflows using internal tools, such as Know-Your-Customer, sanctions screening, suspicious activity identification and reporting to improve efficiency and reduce manual effort.

• Experience experimenting with and deploying AI solutions.

Complexity and Impact of Work:

• Support the development and enhancement of BSA/AML models, including transaction monitoring, sanctions screening, customer risk rating, blockchain analytics, and other relevant BSA/AML tools.

• Contribute to process improvements and best practices for the FCC Analytics team, including code review, testing frameworks, project management, and documentation.

• Conduct ad hoc analyses and respond to time-sensitive data requests from auditors, regulators, or other Compliance teams with accuracy and speed.

Organizational Knowledge:

• Develop deep understanding of Anchorage Digital's business model across custody, staking, stablecoins, and trading, and how data flows through these domains and the compliance models.

• Coordinate with cross-functional teams (Product, Engineering, etc.) to implement and improve tools and processes within the broader Compliance department.

• Understand how the Compliance and FCC team fits within the broader organizational structure, align work with team and company priorities.

Communication and Influence:

• Manage competing priorities across strategic projects and urgent ad-hoc requests; ask clarifying questions to scope ambiguous requests and push back constructively when requirements are unclear, proposing alternative approaches.

• Present findings and data insights with appropriate context, visual aids, and tailored communication style

You may be a fit for this role if you have:

• Experience: 2–3 years of experience in a data analytics or data science role, with a strong understanding of blockchain, cryptocurrency, and the financial services industry.

• Technical Proficiency: Demonstrated ability to operate autonomously to manage multiple competing priorities.

• Automation & AI Aptitude: Experience with or a strong interest in automation principles, leveraging existing AI tools, and exploring new AI tools (such as AI Agents) to enhance productivity.

• Technologist Mindset: While not necessarily an engineer, a strong understanding of how systems, data flows, and technologies interact is essential.

• Eagerness to learn and apply new technologies.

Although not a requirement, bonus points if:

• Prior experience in the financial service industry, crypto industry, start-up, or a fast-paced, evolving environment where you've worn multiple hats and adapted quickly;

• General understanding of regulatory compliance, financial crimes, and risk management.

• Experience with data transformation tools like dbt or similar; familiarity with version control (Git) and software engineering best practices for analytics

• Python or other scripting languages for data analysis, automation, or data pipeline work

• Excellent communication skills with experience presenting technical findings to both technical and non-technical stakeholders

• Proven ability to manage competing priorities and deliver accurate results under tight deadlines, especially for compliance or audit-related requests

• Detail-oriented and quality-focused with a commitment to data accuracy, testing, and documentation

• You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system.

Additional Information About Anchorage Digital:

Who we are

The Anchorage Village, what we call our team, brings together the brightest minds from platform security, financial services, and distributed ledger technology.

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We're looking for a skilled Solution Architect to join our team at Quantexa. As a Solution Architect, you will play a pivotal role in delivering unparalleled solutions to our clients. You will engage in a multitude of customer projects, collaborating closely with a diverse range of internal and external stakeholders.

What You'll Be Doing

• Producing creative solution and environment designs to meet complex competing requirements
• Serving as the go-to person for challenging technical situations and using your problem-solving skills, technical knowledge and bigger picture view to solve them
• Acting as a trusted advisor to our customers to help them make the right decisions and get the most value out of their Quantexa implementation
• Using your knowledge and experience to make improvements to business-wide best practices

Requirements

• A determination to build systems which maximise customer value
• Extensive experience in hands-on technical deliveries, with a proven track record of leading technical teams through the end-to-end process, from initial design to successful implementation of production systems
• Excellent technical skills including hands-on coding experience of at least one of the following Spark, Scala, Java or production grade Python and comprehensive grasp of Software Development Life Cycle (SDLC) principles, encompassing proficiency in unit testing, version control using Git, and the establishment of engineering best practices
• Proven expertise in technical and solution design, encompassing the development of systems tailored to address complex data focussed functional requirements and non-functional requirements such as performance, maintainability, security, and seamless systems integration
• Extensive experience in working with data and successfully navigating common challenges, including data quality assurance, updates, adaptability to data structure changes, and effective rollback strategies
• Excellent client facing, communication and presentation skills

Benefits

• Competitive salary
• Company bonus
• Annual leave, plus national holidays + your birthday off!
• Regularly bench-marked salary rates
• Well-being days
• Volunteer Day off
• Work from Home Equipment
• Free Calm App Subscription #1 app for meditation, relaxation and sleep
• Continuous Training and Development, including access to Udemy Business
• Spend up to 2 months working outside of your country of employment over a rolling 12-month period with our 'Work from Anywhere' policy
• Employee Referral Program
• Team Social Budget & Company-wide Socials

Our Mission

We have one mission. To help businesses grow. To make data easier. And to make the world a better place. We're not a start-up. Not anymore. But we've not been around that long either. What we are is a collection of bright, passionate minds harnessing complexities and helping our clients and their communities. One culture, made of many. Heading in one direction – the future.

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The EA SPORTS Security team helps make the games safe, secure, and fun by partnering with development teams, analysing large volumes of data, and responding to Security incidents. As a Software Engineer, you will work with security product owners, security engineers, game developers, data scientists, fraud analysts, and other software engineers to address some of the most interesting game security challenges out there. You will help us with designing and implementing solutions applicable to the portfolio of EA SPORTS titles to prevent instances of cheating, botting, and tampering. You will report to a lead within the Security organisation.

Responsibilities:

Analyze and implement technical solutions to find and address game security threats, ensuring a secure gaming environment.

Maintain, debug, and resolve issues in legacy code to enhance performance and stability.

Refactor, rework, and port existing features to improve functionality and efficiency.

Conduct technical security assessments, code audits, and design reviews to ensure security measures are in place.

Collaborate with internal technical teams and external partners to deliver high-quality outcomes.

Qualifications and Experience:

Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or equivalent.

Over 3 years of industry experience with C++ and/or Java as the primary programming language.

Experience working on legacy systems with successful maintenance and upgrades.

Experience developing software using established software engineering best practices.

Pluses:

Experienced in security development, with a focus on safeguarding game integrity.

Experienced in building internal tools designed to detect and counteract bots, cheaters, and tampering.

Familiarity with online games featuring a virtual economy and the unique security challenges they present.

Experience in shipping or supporting game development projects.

Working knowledge of security best practices and enterprise security experience.

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Responsibilities

• Support material investigations, including root cause analysis of failure mechanisms and performance degradation.
• Carry out material testing strategies, covering tensile, impact, fatigue, corrosion resistance, and thermal property evaluations.
• Assist with sample preparation and microstructural analysis.
• Provide material test data and observations to support engineering and design teams.
• Support communication with suppliers to gather material information and confirm compliance within material specifications.
• Prepare clear technical reports and recommendations to stakeholders, influencing product development and validation strategies.
• Contribute to process improvements in material analysis processes, and help implement new tools or methods where appropriate.
• Collaborate with team members, mentor early career students within the team.

What You'll Bring

• Bachelor's, Master's or PhD in Materials Engineering, Materials Science or related field.
• Some industrial experience; internship, placement, etc. preferably in the Automotive or Aerospace industry.
• Basic understanding of failure mechanisms, fatigue behaviour, and environmental degradation of all material types.
• Familiarity of material testing techniques.
• Awareness of quality standards and engineering best practices.
• Comprehensive understanding of what materials are used in the automotive sector (metallics, polymers, etc.).
• Interest in developing deeper knowledge of failure mechanisms.

What We'll Do for You

• Structured career development framework.
• 25 days' holiday, plus bank holiday. Annual buy & sell up to five days.
• Enhanced company pension scheme.
• Discretionary annual bonus award.
• Private medical insurance and health cash plan.
• Life assurance benefit.
• Ability to apply for a sabbatical of up to one year after only two years' service.
• Benefits you can adapt to your lifestyle, such as discounted shopping.
• Generous parental leave policies.
• A range of wellbeing initiatives, such as employee assistance programme and free financial & mortgage advice

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As a Solutions Architect on the Startups Applied AI team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude.

Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion
• Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases
• Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions
• Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams
• Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales
• Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies
• Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams
• Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation
• Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures
• Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams
• Track record of selling technical products in competitive markets
• Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns
• Passion for making powerful technology safe and societally beneficial

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing the state of the art in AI and making a positive impact on society.

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