Senior Software Engineer, ML Research

Lila Sciences
Cambridge
Workplace: OnsiteFull timeUSD 148,000 - 210,000 annuallyFunction: Software EngineeringExperience: 8+ yearsSkills: ["Problem-solving","Teamwork","Communication","Attention to detail","Self-motivation"]

Senior Software Engineer to collaborate with ML researchers and engineers to design, build, and maintain high-performance ML libraries and tools. You’ll own CI/CD for ML workflows, architect repository design, and support Ray-based compute environments, data ingestion, and scalable software solutions in a fast-paced, entrepreneurial setting.

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Lila Sciences
Lila Sciences
11 months ago

Senior Software Engineer, ML Research

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Last checked: 51 minutes agoStatus: Live

Job Summary

Senior Software Engineer to collaborate with ML researchers and engineers to design, build, and maintain high-performance ML libraries and tools. You’ll own CI/CD for ML workflows, architect repository design, and support Ray-based compute environments, data ingestion, and scalable software solutions in a fast-paced, entrepreneurial setting.
Location: Cambridge
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •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.

Pay and Benefits

Salary: USD 148,000 - 210,000 annually
Equity and Bonus:Equity
Perks:EquityAnnual Bonus

Key Requirements

  • •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.
Experience:8+ yearsArtificial intelligenceMachine learningResearch
Skills:Problem-solvingTeamworkCommunicationAttention to detailSelf-motivation
Languages:English
Tech Stack:GoPythonMLOpsArgoCDGitHub ActionsRayArgoAirflowKubernetesContainerizationInfrastructure-as-code

Company Brief

Lila Sciences
Develops AI-driven platforms to accelerate drug discovery and biological research by integrating machine learning with chemical and biological data to predict molecular properties, streamline candidate selection, and enable faster therapeutic development.
Industry: Biotech
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
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