Senior Software Engineer, ML Infrastructure

Your Impact at Lila

We are seeking a Senior Software Engineer to join our ML Infrastructure team. In this role, you will focus on unifying data management at Lila by building and maintaining high performance and robust data pipelines to support a variety of machine learning use-cases. You will work closely with both LLM researchers and Applied AI Engineers to ensure the seamless integration of cutting-edge LLM research with scalable, production-ready systems for life science and physical science automation.

What You'll Be Building

• Design and implement high-performance data processing infrastructure for large language model training
• Collaborate with researchers to implement novel data processing pipelines
• Develop an easy-to-use, secure, and robust developer experience for researchers and engineers
• Contribute to the MLOps best practices at Lila Sciences and write technical documentation for staff

What You’ll Need to Succeed

• 8+ years writing commercial software in production, with experience across ML, data engineering, and DevOps
• Demonstrated experience training, deploying, and maintaining machine learning models in production
• Expertise with Kubernetes, Docker, and Cloud (AWS Preferred)
• Experience with CI/CD tools and Frameworks (GitHub Actions preferred)
• Experience Ray and KubeRay frameworks
• Experience with training orchestration tools (KubeFlow, Flyte)
• Proven experience in cross-functional teams and able to communicate effectively about technical and operational challenges.

Bonus Points For

• Proficiency with scalable data frameworks (Spark, Kafka, Flink)
• Proven Expertise with Infrastructure as Code and Cloud best practices
• Proficiency with monitoring and logging tools (e.g., Prometheus, Grafana)
• Experience managing on-premises kubernetes environments (e.g. EKS, Rancher)

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.

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.