May 22, 2026

Full Stack ML Engineer

Senior • Remote

McLean, VA

About Us

Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security. United by a shared sense of duty and deep belief in the power of innovation, Red Cell is developing powerful tools and solutions to address our Nation's most pressing problems.

About the Role:

We are seeking a self-starting Full Stack ML Engineer to join our venture studio engineering team. In this role, you will rapidly prototype and develop tools, visualizations, and products that empower researchers and entrepreneurs to build AI-driven startups. This position requires deep expertise in machine learning, proficiency across the full stack, and the ability to work independently in a fast-paced, innovative environment.

This is a remote role, with travel expectations to attend our bi-annual All Hands and other travel as needed (~10% or less).

Responsibilities:

  • Rapidly prototype and build full-stack tools and visualizations to support researchers and entrepreneurs.
  • Design, implement, test, and debug code across front-end, back-end, and data pipelines.
  • Collaborate with research teams to translate cutting-edge ML techniques into production-ready solutions.
  • Work with entrepreneurs and users to gather requirements, incorporate feedback, and iterate on product development.
  • Develop and optimize robust pipelines for model fine-tuning, evaluation, and deployment.
  • Establish best practices for reliable and reproducible ML model development.
  • Contribute to the creation of scalable, high-performance infrastructure for AI-driven products.

Minimum Qualifications:

  • Bachelor's degree in Computer Science or equivalent practical experience.
  • 5 years of experience in software development (e.g., C++, Python, Rust) with a focus on data structures and algorithms
  • 3 years of experience building production-quality machine learning systems and infrastructure, with deep expertise on data engineering (SQL/Spark)
  • Proficiency in JavaScript, React, and other web technologies for front-end development.
  • Experience with backend languages (preferably Python or Rust) and system design.
  • 2 years of experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX, Ray, MLFlow) and AI accelerators (e.g., GPUs, TPUs).

Preferred Qualifications:

  • Master's degree or PhD in Computer Science or a related technical field.
  • Hands-on experience with large language models (LLMs), generative AI, or natural language processing.
  • Familiarity with model architectures (e.g., transformers, encoders, decoders) and post-training techniques.
  • Experience launching AI-driven products or working with technical customers
  • Proficiency in distributed computing, containerizing ML workloads, and debugging complex ML pipelines.
  • Strong interest in AI safety and responsible deployment
  • 2+ years of experience working in an early stage (Seed / Series A) startup

You Might Thrive in This Role If You:

  • Are a versatile team player comfortable with ambiguity and rapid iteration.
  • Excel at building maintainable backend infrastructure and user-facing products.
  • Can balance research exploration with engineering rigor and operational reliability.
  • Have a track record of shipping high-quality software under tight deadlines
  • Enjoy collaborating across research, engineering, and entrepreneurial teams to drive innovation.

Representative Projects:

  • Optimizing inference request routing to maximize compute efficiency
  • Scoping an AI Agent Architecture to automate a business need or be a part of a new feature for a new incubation we are working on.
  • Contributing to new inference features (e.g. structured sampling, fine tuning)
  • Supporting inference for new model architectures
  • Building a custom BERT model for bespoke classification needs
  • Ensuring smooth and regular deployment of inference services
  • Analyzing observability data to tune performance based on production workloads

Salary Range: $140,000-300,000. This represents the typical salary range for this position based on experience, skills, and other factors.

#LI-RCP

Our Red Cell Partners Benefits:

For full-time roles

  • Career track opportunity with potential for rapid advancement with strong performance as the firm grows
  • 100% employer paid, comprehensive health care including medical, dental, and vision for you and your family.
  • Paid maternity and paternity for 14 weeks at employees' normal pay.
  • Unlimited PTO, with management approval.
  • Opportunities for professional development and continued learning.
  • Optional 401K, FSA, and equity incentives available.
  • Mental health benefits are available through Tara Mind.
  • Cost effective GLP-1 solutions available through Crux.

We're an Equal Opportunity Employer: You'll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.


Applicant Data Disclosure

By submitting an application, you acknowledge that Red Cell Partners, LLC ("Red Cell") uses third-party service providers to facilitate its recruitment and hiring processes. These providers include applicant tracking systems, candidate verification platforms, and fraud detection tools (collectively, "Hiring Platforms"). Your application materials, including your résumé, cover letter, work samples, responses to application questions, and any other information you submit, may be transmitted to and processed by these Hiring Platforms for the following purposes:

  • Managing and administering your application throughout the hiring process;
  • Verifying the accuracy and authenticity of application materials, including by cross-referencing information you provide against publicly available sources and proprietary databases;
  • Identifying indicators of potentially fraudulent, fabricated, or materially misleading application content, including but not limited to discrepancies between submitted materials and publicly available professional profiles, geographic anomalies, and fabricated work histories.

Applications that are flagged through this process as containing indicators of fraud or material misrepresentation may be declined from further consideration. If you have questions about the status of your application or the evaluation process, please contact talent@redcellpartners.com.

Red Cell requires its Hiring Platform providers to process your information solely for the purposes described above and in accordance with applicable law. Your information will be retained only for as long as necessary to fulfill these purposes and any applicable legal obligations, after which it will be deleted in accordance with Red Cell's data retention policies.

For more information about how your data is used, please refer to our Privacy Policy and Applicant Privacy Notice.

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🏢 Summary: The offer is for a Software Engineer (Data) role focused on building scalable data infrastructure and production-ready ML systems within an AI-driven environment. The position combines backend engineering, data engineering, and MLOps to design high-throughput pipelines and support AI solutions from experimentation to production. The role involves close collaboration with Data Science teams to shape architecture and engineering standards for next-generation data platforms. 🗂️ Requirements: 4+ years of software engineering experience, Strong proficiency in Python, Experience building scalable production systems, Experience with data-intensive applications and SQL databases, Knowledge of data modeling and query optimization, Experience with Terraform, Kubernetes, Docker or similar tools, Understanding of CI/CD pipelines and Infrastructure as Code, Experience implementing automated testing and clean architecture principles, Ability to productionize ML solutions with Data Science teams 📃 Skills: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker, Airflow, SQL, CI/CD, AWS, Snowflake, DBT, MLOps 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Software Engineer (Data) to join our client’s growing AI and Data organization and help build the scalable foundations behind next-generation data and ML systems. In this role, you won’t just be working with data infrastructure; you’ll be shaping the software architecture, engineering standards, and production-ready platforms that power the company’s AI ecosystem. This is more than a traditional backend or data engineering position. You’ll work at the intersection of software engineering, data, and AI, partnering closely with Data Science and AI teams to bridge the gap between experimentation and production. From designing resilient systems to building scalable MLOps pipelines, your work will directly influence how AI solutions are developed, deployed, and scaled across the organization. Key takeaways: Stack: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker Salary : 20 000 - 23 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Interview with Hiring Manager (45 min) Technical interview, live coding (1h) Cross-functional interview (1h) Responsibilities: Design, develop, and maintain scalable high-throughput data pipelines across complex data ecosystems. Build and optimize data models, schemas, and database structures to ensure long-term scalability and performance. Implement engineering best practices, including automated testing, CI/CD pipelines, and Infrastructure as Code (Terraform). Partner closely with AI and Data Science teams to productionize machine learning solutions and develop scalable MLOps pipelines. Engineer and maintain feature stores and data infrastructure supporting AI-driven initiatives. Monitor, maintain, and improve the reliability and efficiency of containerized environments using Kubernetes, Docker, and Airflow. Ensure platform stability, observability, and operational excellence through proactive system monitoring and health checks. Collaborate cross-functionally with engineering and business stakeholders to translate complex technical concepts into actionable insights. Contribute to the architectural direction and scalability of the organization’s AI and data platforms. Drive the adoption of robust software engineering standards across data and infrastructure projects. Requirements: 4+ years of experience in software engineering, with strong hands-on experience in backend development and building scalable production systems. Strong proficiency in Python and solid software engineering fundamentals, including clean architecture, testing, and maintainable code practices. Experience working with data-intensive applications, databases, and SQL, including data modeling and query optimization. Exposure to modern data engineering, cloud, or infrastructure environments, with familiarity in tools such as Terraform, Kubernetes, Docker, or similar technologies. Understanding of CI/CD pipelines, Infrastructure as Code, and general engineering best practices. Interest in AI/ML ecosystems and willingness to work closely with Data Science and AI teams on productionizing ML solutions. Familiarity with cloud platforms and modern data stack technologies such as AWS, Snowflake, Spark, or DBT is considered a strong plus. Ownership mindset and comfort working in evolving, fast-moving environments where systems and processes are still being built. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

Technology

MOTIFE

Software Engineer (Agent Development)

Mid

Hybrid

Krakow, Poland

20,000 - 23,000 PLN/mo

🏢 Summary: The offer is for a Software Engineer (Agent Development) role focused on building and scaling production-ready AI agents and autonomous marketing workflows. The position combines strong backend engineering with applied GenAI, emphasizing reliable, scalable systems integrated into a live marketing automation platform. The role involves working with LLM orchestration, backend services, and AI-driven integrations in a fast-paced, collaborative environment. 🗂️ Requirements: 2–4 years of software engineering experience, Strong experience in Python and scalable backend development, Understanding of building production-ready, maintainable systems, Interest in AI, GenAI, and agentic systems, Experience with backend databases such as MySQL, Redis, or DynamoDB, Ability to work in fast-paced, iterative environments, Strong problem-solving skills, Ability to collaborate with cross-functional and distributed teams 📃 Skills: Python, GenAI, LLM, MySQL, Redis, DynamoDB, APIs, CI/CD, Cloud, AI, Agents 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Software Engineer (Agent Development) to join our client’s growing AI team and help build the next generation of autonomous AI agents powering modern marketing workflows. In this role, you’ll work at the intersection of backend engineering and applied AI, designing and scaling production-ready agentic systems used by businesses worldwide. This is not a pure research role. The focus is on strong software engineering fundamentals and building reliable, scalable AI-powered products. You’ll work across backend systems, orchestration, integrations, and AI workflows, collaborating closely with cross-functional product and engineering teams. The environment is fast-paced and highly collaborative, with a strong emphasis on ownership, rapid iteration, and building real-world AI solutions already running in production. Key takeaways: Stack: Python, AI Agents, MySQL, GenAI Salary : 20 000 - 23 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Technical interview, live coding (1h) Cross-functional interview (1h) Interview with Hiring Manager (45 min) | Optional Responsibilities: Design and develop production-grade AI agents and autonomous marketing workflows across the platform. Build and maintain multi-step agentic systems involving LLM orchestration, tool usage, and backend integrations. Work with LLM APIs, including prompt engineering, response handling, evaluation, and optimization of AI workflows. Create and improve evaluation frameworks, quality metrics, and monitoring processes to ensure agent reliability and performance at scale. Monitor and optimize agent behavior, latency, token usage, cost efficiency, and production stability. Develop production-quality backend services and orchestration layers primarily using Python. Contribute to backend and frontend integration points where AI agents interact with the core platform. Build and maintain APIs, service interfaces, and data flows supporting AI-driven capabilities. Collaborate closely with Product, Design, and Engineering teams to define and deliver AI-powered user experiences. Ensure code quality through testing, code reviews, and adherence to engineering best practices. Participate in on-call rotations supporting AI agent services and platform reliability. Contribute to technical documentation, architectural decisions, and AI engineering best practices. Collaborate closely with globally distributed teams, including regular overlap with US-based stakeholders. Requirements: 2–4 years of experience in software engineering, with strong backend development fundamentals. Strong hands-on experience with Python and building scalable backend services. Interest in AI, GenAI, and agentic systems, with a willingness to grow in this area professionally. Exposure to AI-related projects, LLM-based solutions, ML models, or personal AI experiments is considered a strong plus. Understanding of how to build reliable, maintainable, and production-ready systems. Ability to work in fast-paced, iterative environments and ship code quickly while maintaining engineering quality. Familiarity with modern backend and database technologies such as MySQL, Redis, or DynamoDB. Strong problem-solving skills and the ability to work across different systems and technologies. Experience with cloud environments, APIs, CI/CD practices, or observability tooling is a plus. Familiarity with AI agent frameworks, prompt engineering, or LLM workflows is nice to have, but not required. Strong communication skills and a collaborative mindset within cross-functional engineering teams. Willingness to collaborate with globally distributed teams, including regular overlap with US-based stakeholders. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

Technology

SmartRecruiters Inc.

Senior Frontend Engineer, Frontend Platform

Senior

Remote

Warsaw, Poland

18,500 - 30,000 PLN

🏢 Summary: Senior Frontend Platform Engineer role focused on building and evolving shared frontend foundations, standards, and golden paths across multiple product teams. The position drives consistency, reliability, and scalability of frontend architecture, including AI-assisted automation and platform improvements. It involves cross-team technical leadership to improve developer workflows and long-term maintainability. 🗂️ Requirements: 5+ years software engineering experience, Experience building frontend platforms or design systems used by multiple teams, Experience defining frontend architecture and technical standards, Experience improving developer workflows and frontend reliability, Strong hands-on experience with modern frontend development, Experience with Node.js or similar backend technology, Experience working with frontend-facing APIs or BFFs, Experience driving cross-team technical initiatives 📃 Skills: JavaScript, TypeScript, Node.js, HTML, CSS, Accessibility, APIs, BFF, CI, Automation, AI, Frontend, Architecture 🏢 Description: Company Description 🚀 SmartRecruiters transforms hiring for the world’s leading enterprises. We deliver an AI-powered hiring platform built for global scale, automating and optimizing the entire talent acquisition process. More than 4,000 companies, including LinkedIn, McDonald's, VISA, CD Projekt Red, Allegro rely on SmartRecruiters to build winning teams. 🚀 In 2025, SmartRecruiters joined SAP, the global leader in enterprise applications. Together, we are accelerating the reinvention of hiring by combining AI innovation with the scale and resources of SAP’s ecosystem. Job Description We are looking for an engineer with a strong platform mindset who can make development more consistent, reliable, and scalable across many product teams and applications. You will help define golden paths, improve shared frontend foundations, strengthen standards such as accessibility and verification, and support product teams through tooling, migrations, governance, and automation. The primary focus is on a broader frontend platform impact and making the codebase easier to change, including with AI-assisted workflows. Important: the position is available only under a standard contract of employment with 80% of tax deductible cost. What you’ll do Build and evolve frontend platform foundations that help product teams deliver consistently across many applications Discover recurring needs and friction across product teams, and turn them into reusable patterns, tooling, workflows, and golden paths Define and maintain shared standards, documentation, contribution models, and governance for frontend consistency, accessibility, reliability, and long-term maintainability Drive alignment, adoption, and migrations across teams, helping replace inconsistent local patterns with shared, supported solutions Build AI-assisted automations and agentic workflows that help scale platform improvements, reduce manual effort, and improve consistency across teams Qualifications: Must have qualifications: Senior-level experience, typically 5+ years in software engineering, with a track record of driving cross-team technical work Experience building or evolving frontend platforms, shared engineering foundations, golden paths, or design systems used by multiple teams Experience influencing frontend architecture, standards, or technical decisions beyond a single team Experience improving developer workflows, frontend reliability, or delivery consistency across multiple applications or team Strong hands-on experience building production frontend applications with modern web technologies Experience with Node.js or comparable backend technology, especially in the context of BFFs, frontend-facing APIs, or full-stack platform work Strong collaboration skills and experience working across Engineering, Design, and product teams to drive adoption of shared solutions Nice to have qualifications: Experience working across Angular environments Experience with monorepos, microfrontends, or shared frontend tooling Experience improving build, test, CI, or verification loops for frontend teams Experience with inner source or platform engineering ways of working Experience with Web Components, ideally Lit Public speaking, presentation, or facilitation skills that help share standards, explain platform changes, and drive adoption across teams Benefits: We support 100% remote work with Wi-Fi reimbursement and an additional stipend for the equipment (the MacBook laptop is provided by us) Unlimited vacation days (yes - it's really unlimited) Private Medical Care for you and your dependents (Luxmed) Wellness Programme (Multisport Card and even more) Company wide shutdowns in August and around Christmas Additional information SmartRecruiters is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Technology

Aras Software

FullStack Engineer (m/f/d)

Senior

Remote

🏢 Summary: Senior Full Stack Developer role focused on building AI-enabled features, AI platforms, and AI agents for a PLM application using modern cloud-native and Microsoft technologies. The position involves developing enterprise AI solutions, RAG pipelines, conversational AI, and DevOps workflows while delivering scalable, production-grade software. Candidates should have strong expertise in .NET, AI agent frameworks, Azure, Kubernetes, and modern web technologies. 🗂️ Requirements: 7+ years commercial software development experience, Enterprise-grade solution delivery experience, .NET and C# expertise, TypeScript proficiency, React proficiency, Experience building AI Agents, Experience with LangChain, Experience with LangGraph, Experience with Microsoft Agent Framework, Experience with RAG, Prompt engineering knowledge, Generative AI evaluation experience, Azure experience, Docker experience, Kubernetes experience, CI/CD pipeline experience, Terraform experience, GitOps knowledge, Agile environment experience, Rapid prototyping skills 📃 Skills: .NET, C#, SQL, Azure, Docker, Kubernetes, TypeScript, React, OData, OAuth, OpenTelemetry, LLM, NLP, LangChain, LangGraph, RAG, Grafana, CI/CD, Terraform, GitOps 🏢 Description: Aras Corporation is a fast-growing and innovative provider of software that drives productivity and profitability for the engineering, manufacturing, and infrastructure industries. Our resilient, open software platform empowers subscribers to deliver sustainable performance with flexibility and agility in today’s fast-changing markets. At Aras, we foster an open and collaborative culture. We value our people, support their personal growth, and provide an environment where careers can take many paths. Aras software is primarily built on Microsoft technologies, including .NET , SQL Server , and a broad set of Azure services . We leverage Docker , Kubernetes , and modern web technologies ( TypeScript, React ), as well as open standards such as OData , OAuth, OpenTelemetry We are seeking a Senior Full Stack Developer to advance the AI enablement of our Product Lifecycle Management (PLM) application. In this role, you will design and deliver AI Platform and AI Agents . The ideal candidate combines strong software engineering expertise with practical knowledge of AI Agent frameworks, cloud platforms, and modern deployment practices. Responsibilities: Discover solutions: partner with product and stakeholders to explore problems, run discovery experiments, and refine scope quickly. Design and implement AI-powered features, leveraging LLMs, NLP, and multimodal AI to enhance user experience, process efficiency, and decision-making. Develop enterprise knowledge management systems that combine vector search, RAG pipelines, and semantic retrieval to surface accurate, context-aware insights. Develop conversational AI solutions using various chatbot development frameworks and platforms. Work on cutting-edge tech: leverage modern cloud-native tools (Azure, Docker, Kubernetes), observability (OpenTelemetry, Grafana), and explore opportunities with AI-powered development and automation. Embrace DevOps: build and own CI/CD pipelines, GitOps workflows, and progressive delivery strategies to ensure fast, safe releases. Deliver high-quality solutions: write clean, testable code; enforce best practices; and raise the bar for reliability, scalability, and performance. Drive delivery: take features from concept to production, ensuring outcomes are met and customers get value quickly. Continuously improve adopt new practices, share knowledge, and help shape our engineering culture. Requirements: 7+ years in commercial software development, with a strong track record of delivering enterprise-grade solutions. Deep knowledge of .NET/C# and modern frameworks. Proficiency with web technologies (TypeScript, React) Hands-on experience building AI Agents using orchestration frameworks (LangChain/LangGraph, Microsoft Agent Framework). Experience with Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering techniques and Generative AI Evals Solid experience with cloud platforms ( Azure preferred ). Hands-on with Docker and Kubernetes Understanding and practical use of DevOps/GitOps practices : CI/CD pipelines, IaC (Terraform), and modern deployment strategies. Collaborative, team-oriented mindset with ability to thrive in Agile environments. Ability to drive discovery: problem framing, rapid prototyping, iterative scope refinement.

Technology

Datadog

Staff GenAI Engineer - Application Performance Monitoring (APM)

Senior

On-site

New York, NY

19,500 - 25,000 USD/yr

🏢 Summary: Staff Software Engineer role focused on leading GenAI/ML initiatives within the APM product, driving the design, training, evaluation, and large-scale deployment of models for automated investigations and incident troubleshooting. The position combines deep technical leadership with hands-on model development to deliver production-ready, agentic ML solutions. You will guide cross-functional teams and shape technical direction from concept to production. 🗂️ Requirements: BS/MS/PhD in scientific field or equivalent experience, 10+ years of software engineering experience, Experience as a technical lead, Proven leadership of large-scale GenAI/ML initiatives, Experience in model development and deployment, Experience in model training, fine-tuning, or evaluation, Ability to drive cross-functional technical projects 📃 Skills: Python, GenAI, MachineLearning, LLMs, ModelTraining, FineTuning, ModelDeployment, DistributedTracing, Profiling, APM 🏢 Description: We’re looking for a Staff Software Engineer with deep experience in GenAI/ML to join Datadog’s Application Performance Monitoring (APM) team. APM is a product which provides deep visibility into applications, enabling users to identify performance bottlenecks, troubleshoot issues, and optimize services. With distributed tracing, profiling, out-of-the-box dashboards, and seamless correlation with other telemetry data, Datadog APM provides some of the deepest and most structured visibility into the health and performance of applications. This context sets us up for an opportunity to be the world leaders in agentic investigations and incident troubleshooting. You’ll act as a technical leader within the APM group, focused on agentic workflows. You’ll lead efforts to design, train, evaluate, and deploy GenAI/ML models at scale. We’re looking for a product-minded ML engineer with strong technical expertise, excellent communication skills, and a track record of driving impactful initiatives end to end. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Act as a technical leader within the APM organization, driving GenAI/machine learning projects from concept to production. Build and benchmark GenAI/ML models using state-of-the-art techniques. Collaborate with cross-functional teams to build automated investigation and triaging tools. Influence product direction by bringing a strong product mindset to your work, always advocating for the end user. Guide teams through ambiguity, scaling challenges, and evolving requirements with clear technical direction. Actively mentor engineers and influence engineering culture through leadership in design reviews, technical talks, and working groups. Who You Are: You have a BS/MS/PhD in a scientific field or equivalent experience 10+ years of relevant engineering experience, as well as experience acting as a technical lead Proven track record of leading large-scale GenAI/ML initiatives in a product-driven environment You have significant experience in model deployment, development, training, fine-tuning, or evaluation Ability to drive initiatives across cross-functional teams, and solve ambiguous challenges Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Get to build tools for software engineers, just like yourself. And use the tools we build to accelerate our development. Have a lot of influence on product direction and impact on the business . Work with skilled, knowledgeable, and kind teammates who are happy to teach and learn Competitive global benefits Continuous professional development Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$234,000—$300,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Technology

Motional

Senior Software Engineer - AI Data Applications

Senior

Hybrid

North Las Vegas, NV

🏢 Summary: Full Stack Engineer role focused on building AI-driven data curation, mining, and search applications to accelerate ML dataset generation and pipeline development. The position involves close collaboration with ML and data teams to design scalable web applications and backend services. The goal is to streamline development cycles and support advanced autonomous systems initiatives. 🗂️ Requirements: BS or MS in Computer Science or related field, 4+ years of professional experience building web applications, Extensive experience building web applications for search and data curation, Strong programming skills in Typescript, Strong programming skills in Python, Strong knowledge of React, Strong experience building REST services, Strong experience building gRPC services, Strong knowledge of AWS ecosystem (EKS, Lambda), Experience with Terraform 📃 Skills: Typescript, Python, React, REST, gRPC, AWS, EKS, Lambda, Terraform, Bazel 🏢 Description: Mission Summary: We are seeking an experienced full stack engineer to join our new AI Data Application team. This pivotal role will drive the development and execution of initiatives aimed at significantly accelerating our ML dataset generation and data search applications. The ultimate goal is to drastically reduce the development cycle for new pipelines, ML models and get us operationally prepared for a driverless future. What You'll Be Doing: Cross-functional Collaboration: Collaborate closely with data mining, ML researchers, and other data platform teams to understand their needs and integrate solutions seamlessly. Communicate complex technical concepts and strategies to both technical and non-technical stakeholders. Development: Design and build the next generation of data curation, mining and search applications needed to power our next phase of growth as a company. Mentor junior engineers and peers on best practices and adoption strategies. What We're Looking For Experience: BS or MS in Computer Science or related field 4+ years of professional experience in building web applications Extensive experience with building web applications for search and data curation needs. Technical Skills: Strong programming skills in Typescript and Python. Strong knowledge of modern frontend technologies such as React. Strong knowledge of building REST and gRPC based services, ideally in Python. Strong knowledge of AWS ecosystem (EKS, Lambda, etc) and Terraform. Bonus Points (not required): Prior experience in autonomous vehicles (AV) is a plus. Prior experience with Bazel based build systems. We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Salary Range $149,000—$198,500 USD Candidates for certain positions are eligible to participate in the benefits program. Benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.