Senior Software Engineer, ML Research

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

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 competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.

U.S. Benefits

Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company-wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.

International Benefits

Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.

Expected Base Salary Range

$148,000 - $210,000 USD

About LILA

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.

LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.

Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.

A Note to Agencies

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

Lila Sciences iscommitted to equal employment opportunityregardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

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