Senior Software Engineer, ML Research
Lila Sciences - Cambridge, MA USA
Posted Oct 6, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- 401(k) match
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Schedule
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- Weekend work
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Where they hire
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About this role
Senior Software Engineer, ML Research Cambridge, MA USA Your Impact at LILA We're hiring a Senior Software Engineer to team with our Machine Learning Engineers and Researchers to build software that powers Lila's ML workflows and research tooling. You will be on a team of software engineers that work alongside machine learning experts to develop, support, and maintain Lila's ML libraries and tools. What You'll Be Building - Design and build high-performance, secure, and well-documented Machine Learning libraries that implement the algorithms designed by machine learning researchers and engineers. - CI/CD pipelines and integration tests for ML workflows. - Architect repository designs to follow consistent standards. - Support debugging, logging, and maintenance for Ray-based compute environments. - Data ingestion pipelines linking lab data to ML teams. What You'll Need to Succeed - Minimum of 8 years of experience writing software in a commercial setting in Go or Python. - Experience implementing scalable software solutions. - Experience with MLOps systems, GitOps (ArgoCD, Github Actions) - Familiarity with orchestration frameworks (Ray, Argo, Airflow). - Proficiency in Containerization, Kubernetes and infrastructure-as-code tools. - Acute listening skills and patience to deeply understand complex problems and algorithms. - Excellent problem-solving skills and team-first mentality. - Energetic self-starter and independent thinker with strong attention to detail. - Eager to work with highly skilled and dynamic teams in a fast-paced, entrepreneurial, and technical setting. Bonus Points For - Proficiency with monitoring and logging tools (e.g., Prometheus, Grafana) - Research engineering or scientific software experience. Compensation We offer
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