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Senior Software Engineer, ML Research
full-timeCambridge$148k - $210k

Summary

Location

Cambridge

Salary

$148k - $210k

Type

full-time

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About this role

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.


About Lila


Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.  We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.  We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at  www.lila.ai


If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply.


Compensation


We expect the base salary for this role to fall between $148,000–$210,000 USD per year, along with bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact.


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.

Other facts

Tech stack
Go,Python,MLOps,GitOps,ArgoCD,Github Actions,Ray,Argo,Airflow,Containerization,Kubernetes,Infrastructure-as-Code,Debugging,Logging,Problem-Solving,Teamwork

About Lila Sciences

Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are building the foundation to apply AI to every aspect of the scientific method, enabling scientists to bring forth solutions in human health and sustainability at a pace and scale never experienced before.

Team size: 201-500 employees
LinkedIn: Visit
Industry: Technology, Information and Internet

What you'll do

  • Design and build high-performance Machine Learning libraries and support ML workflows. Collaborate with machine learning experts to maintain and enhance Lila’s ML tools.

Ready to join Lila Sciences?

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Frequently Asked Questions

What does Lila Sciences pay for a Senior Software Engineer, ML Research?

Lila Sciences offers a competitive compensation package for the Senior Software Engineer, ML Research role. The salary range is USD 148k - 210k per year. Apply through Clera to learn more about the full compensation details.

What does a Senior Software Engineer, ML Research do at Lila Sciences?

As a Senior Software Engineer, ML Research at Lila Sciences, you will: design and build high-performance Machine Learning libraries and support ML workflows. Collaborate with machine learning experts to maintain and enhance Lila’s ML tools..

Why join Lila Sciences as a Senior Software Engineer, ML Research?

Lila Sciences is a leading Technology, Information and Internet company. The Senior Software Engineer, ML Research role offers competitive compensation.

Is the Senior Software Engineer, ML Research position at Lila Sciences remote?

The Senior Software Engineer, ML Research position at Lila Sciences is based in Cambridge, Massachusetts, United States. Contact the company through Clera for specific work arrangement details.

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

You can apply for the Senior Software Engineer, ML Research position at Lila Sciences directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about Lila Sciences on their website.