Lila Sciences, Inc. | Cambridge, MA Machine Learning Operations Engineer

Lila Sciences is a privately held, early-stage technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method. Lila is backed by Flagship Pioneering, which brings the courage, long-term vision, and resources needed to realize unreasonable results. Join our mission-driven team and contribute to the future of science. Our Life Sciences effort is leveraging AI and high-throughput automation for valuable therapeutic discovery and development across biological modalities. Our Physical Sciences effort is developing a novel AI and data-driven approach to materials discovery and development to accelerate the transition to a sustainable economy. At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way. If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, please apply.

The Role

We are seeking a mid-level Machine Learning Operations Engineer to join our growing 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.

Responsibilities:

• 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

Qualifications:

• 3+ years of experience in software engineering, with a focus in data engineering or DevOps
• Demonstrated experience deploying and maintaining machine learning models in production
• Proficiency with Kubernetes, Docker, and Cloud (AWS Preferred)
• Proficiency with CI/CD tools and Frameworks (GitHub Actions preferred)
• Strong skills with Scripting languages (e.g. Python, Bash), VCS (git), and Linux
• Proven experience in cross-functional teams and able to communicate effectively about technical and operational challenges.

Preferred Qualifications:

• 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)

Location: Cambridge, MA preferred; open to remote.

Flagship Pioneering and our ecosystem companies are 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. At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.