Join a team that partners applied scientists and engineers to build machine learning software for sustainability applications.

Build reusable data and ML infrastructure, including libraries, configuration-driven interfaces, and infrastructure-as-code for data processing, model training, and inference.
Create tools for repeatable experiments and model comparisons, preserving the data, code, and configuration used to produce results.
Develop and evaluate AI-assisted workflows that support coding agents using the platform correctly.
Assess AI-assisted workflow output using automated checks and appropriate review, and measure whether workflows improve engineering productivity without reducing reliability.
Support adoption and evolution by partnering with platform users to identify recurring needs, document design trade-offs, and maintain compatibility as shared components change.

5+ years of non-internship professional software development experience.
5+ years of programming experience using at least one software programming language.
5+ years leading design or architecture (design patterns, reliability, and scaling) for new and existing systems.
Experience mentoring, serving as a tech lead, or leading an engineering team.
5+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
Bachelor’s degree in computer science or equivalent.

Health insurance: medical, dental, vision, prescription, Basic Life & AD&D, plus option for Supplemental life plans
EAP
Mental Health Support
Medical Advice Line
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)

Applied scientists and engineers develop models and software for sustainability applications.
Work spans both research and production, building scientific methods and the systems needed to use them reliably.
Reusable tools reduce the need for bespoke infrastructure for each new research project.

Senior Machine Learning Engineer, Sustainability Science and Innovation

Job Description