Senior Machine Learning Engineer

Senior Machine Learning Engineer

We leverage cutting-edge AI to bring fairness and accessibility to the legal system. Tackling the most complex legal document challenges requires expertise in data quality, robust model development, and ongoing innovation.

• Design, build, and own production ML systems across the full lifecycle - problem framing, data strategy, training, evaluation, deployment, and monitoring.
• Architect scalable data pipelines that handle structured, unstructured, and embeddings-based data for training and inference.
• Build reusable frameworks and infrastructure for model development, evaluation, and benchmarking.
• Partner with data scientists and product managers to translate ambiguous business problems into concrete ML system designs.
• Apply and productionize state-of-the-art techniques across NLP, information retrieval, and generative AI where the problem calls for it.
• Define and implement evaluation strategies - quality metrics, human-in-the-loop review, automated benchmarks - to ensure model reliability.
• Drive scalability and efficiency across ML workflows, from large-scale data processing to real-time inference.
• Work with ML platform engineers to integrate models and frameworks into production environments.
• Document system architectures and establish best practices that other engineers build on.
• Mentor other engineers and contribute technical judgment to hiring and calibration as the team grows.

About the role

EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.

What You'll Do

• Design, build, and own production ML systems across the full lifecycle - problem framing, data strategy, training, evaluation, deployment, and monitoring.
• Architect scalable data pipelines that handle structured, unstructured, and embeddings-based data for training and inference.
• Build reusable frameworks and infrastructure for model development, evaluation, and benchmarking.
• Partner with data scientists and product managers to translate ambiguous business problems into concrete ML system designs.
• Apply and productionize state-of-the-art techniques across NLP, information retrieval, and generative AI where the problem calls for it.
• Define and implement evaluation strategies - quality metrics, human-in-the-loop review, automated benchmarks - to ensure model reliability.
• Drive scalability and efficiency across ML workflows, from large-scale data processing to real-time inference.
• Work with ML platform engineers to integrate models and frameworks into production environments.
• Document system architectures and establish best practices that other engineers build on.
• Mentor other engineers and contribute technical judgment to hiring and calibration as the team grows.

What You Bring

• 5+ years building and deploying machine learning systems in production.
• Strong software engineering fundamentals - Python, distributed systems, API design.
• Experience owning the full ML lifecycle, not just model training in isolation.
• A track record of turning ambiguous problems into scoped, shippable solutions.
• Experience mentoring other engineers and influencing technical direction beyond your own code.
• Ability to work hybrid (3 days your choice) in our San Francisco or Toronto Canada office.

Notice to Candidates

We only post open roles on our career page (evenuplaw.com/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com, no-reply@ashbyhq.com or no-reply@canditech.io email addresses. To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you’re interested in a role, please submit your application directly through our careers page.

Benefits & Perks

• Choice of medical, dental, and vision insurance plans for you and your family.
• Additional insurance coverage options for life, accident, or critical illness.
• Flexible paid time off, sick leave, short-term and long-term disability.
• 10 US observed holidays, and Canadian statutory holidays by province.
• A home office stipend.
• 401(k) for US-based employees and RRSP for Canada-based employees.
• Paid parental leave.
• A local in-person meet-up program.
• Hubs in San Francisco and Toronto.