Lila Sciences

Senior Software Engineer, ML Research

Lila Sciences
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5 months ago
Cambridge, MA, USASenior
H1B sponsor

Base Salary

$148k - $210k/yr

Responsibilities

  • Design and build secure, high-performance, well-documented machine learning libraries implementing researchers’ and engineers’ algorithms.
  • Develop CI/CD pipelines and integration tests for machine learning workflows.
  • Architect repositories according to consistent design standards.
  • Debug, log, maintain, and support Ray-based compute environments.
  • Build data ingestion pipelines connecting laboratory data with machine learning teams.

Requirements

  • At least eight years of commercial software development experience in Go or Python.
  • Experience implementing scalable software solutions.
  • Experience with MLOps systems and GitOps, including ArgoCD and GitHub Actions.
  • Familiarity with Ray, Argo, and Airflow orchestration frameworks.
  • Proficiency with containerization, Kubernetes, and infrastructure-as-code tools.
  • Strong problem-solving, listening, collaboration, independence, and attention to detail.
  • Prometheus and Grafana experience is a bonus.
  • Research engineering or scientific software experience is a bonus.

Benefits

  • U.S. full-time employees receive medical, dental, and vision coverage.
  • Employer-paid life and disability insurance are provided.
  • Flexible time off, company-wide holidays, and paid parental leave are offered.
  • Educational assistance, commuter benefits including bike-share memberships for office-based employees, and a subsidized lunch program are available in the U.S.
  • International full-time employees receive regionally tailored benefits.

Tech Stack

Apache AirflowArgo CDGitHub ActionsGoGrafanaKubernetesPrometheusPython
Lila Sciences

About Lila Sciences

501-1,000 employees

Lila Sciences builds an AI-driven research platform and autonomous lab systems for life science, chemistry, and materials R&D teams. Its products combine large AI models with robotic instruments to plan, run, and analyze experiments, integrating into customer-specific scientific workflows. The privately held company serves pharma, materials, and energy organizations and is venture-backed, including a Series A financing in 2025.

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