Senior Software Engineer, ML Research

Full Timesenior

Cambridge, MA USAPosted 8 weeks ago

Role Overview

Lilasciences is hiring a Senior Software Engineer, ML Research. This is a full-time role in Cambridge. Part of Lilasciences's Data Science hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.

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PythonGoKubernetesGitHub ActionsGitHubAirflowCI/CDOR

Job description

Your Impact at LILA

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.

We’re All In

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

Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.

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.

About Lilasciences

Lilasciences

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Frequently Asked Questions

How do I apply for the Senior Software Engineer, ML Research position at Lilasciences?

Use the Apply button above to submit your application directly to Lilasciences. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Senior Software Engineer, ML Research position at Lilasciences located?

This position is based in Cambridge. Lilasciences has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Senior Software Engineer, ML Research at Lilasciences earn?

Lilasciences has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Senior Software Engineer, ML Research role at Lilasciences posted?

This role was posted on May 14, 2026 (56 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

How much experience does the Senior Software Engineer, ML Research role at Lilasciences require?

This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Lilasciences lists their specific requirements in the description below, so review the must-have qualifications closely before applying.

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