9 months ago

Senior Software Engineer, ML Research

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours 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

Industry: Biotech

Website

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Lila Sciences

9 months ago

Senior Software Engineer, ML Research

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

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

Industry: Biotech

Website