Senior ML Research Software Engineer — Build Scalable ML Tools

Lila Sciences; Cambridge (MA); On-site; USD 148,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Life and disability insurance

Paid time off & holidays

Parental leave

Commuter benefits & lunch program

Equity

Job summary

Lila Sciences in Cambridge, MA is seeking a Senior Software Engineer to join our ML-focused team, building high-performance libraries and tools that power ML workflows. You will collaborate with ML researchers and engineers to design scalable software infrastructure and contribute to end-to-end delivery.

The role emphasizes Go or Python development, MLOps practices, and strong problem solving in a fast-paced, entrepreneurial environment.

Qualifications

• 8+ years of commercial software engineering experience in Go or Python.
• Experience building scalable software solutions.
• Experience with MLOps and GitOps (ArgoCD, Github Actions).
• Familiarity with orchestration frameworks (Ray, Argo, Airflow).
• Proficiency in containers, Kubernetes, and infrastructure-as-code tools.
• Strong problem-solving and collaborative mindset.

Responsibilities

• Design and build ML libraries powering ML workflows and research tooling.
• Develop CI/CD pipelines and tests for ML workflows.
• Architect repository designs following consistent standards.
• Support debugging, logging, and maintenance for Ray-based compute environments.
• Create data ingestion pipelines linking lab data to ML teams.

Skills

Go

Python

MLOps

GitOps

ArgoCD

Github Actions

Ray

Kubernetes

Docker

CI/CD

Problem solving

Tools

ArgoCD

Github Actions

Ray

Airflow

Kubernetes

Prometheus

Grafana

Terraform

Job description

Lila Sciences in Cambridge, MA is seeking a Senior Software Engineer to join our ML-focused team, building high-performance libraries and tools that power ML workflows. You will collaborate with ML researchers and engineers to design scalable software infrastructure and contribute to end-to-end delivery.

The role emphasizes Go or Python development, MLOps practices, and strong problem solving in a fast-paced, entrepreneurial environment.