Senior Software Engineer I, ML Ops

Generate Biomedicines • Somerville, MA

33d • Hybrid

About The Position

Generate:Biomedicines is a new kind of therapeutics company – existing at the intersection of machine learning, biological engineering, and medicine – pioneering Generative Biology™ to create breakthrough medicines where novel therapeutics are computationally generated, instead of being discovered. The Company has built a machine learning-powered biomedicines platform with the potential to generate new drugs across a wide range of biologic modalities. This platform represents a potentially fundamental shift in what is possible in the field of biotherapeutic development. We pursue this audacious vision because we believe in the unique and revolutionary power of generative biology to radically transform the lives of billions, with an outsized opportunity for patients in need. We are seeking collaborative, relentless problem solvers that share our passion for impact to join us! Generate:Biomedicines was founded in 2018 by Flagship Pioneering and has received nearly $700 million in funding, providing the resources to rapidly scale the organization. The Company has offices in Somerville and Andover, Massachusetts with 300+ employees. The Role: We are seeking an experienced and pragmatic Senior Software Engineer to build and evolve the platform that powers machine learning at Generate. You will develop reliable, scalable, and observable systems that enable efficient model training, evaluation, and deployment for protein design. You will work closely with ML researchers, data scientists, and infrastructure engineers to translate research workflows into production-grade systems. This role requires 3 or more days/week onsite in our Somerville, MA location.

Requirements

• 5 or more years of experience in software engineering, ideally building infrastructure or data systems for ML workloads.
• Practical experience designing, monitoring, and optimizing data pipelines and relational databases such as PostgreSQL or Redshift.
• Strong proficiency in Python and solid understanding of software design principles and patterns.
• Experience with distributed systems and containerized deployments on AWS using Docker, ECS, or Kubernetes.
• Familiarity with CI/CD, observability, and infrastructure as code tools.

Responsibilities

• Build, maintain, and scale ETL and data pipelines using reliable open-source frameworks to integrate proprietary and public datasets.
• Design and deliver core services for model training, evaluation, and deployment across the ML platform.
• Collaborate with scientists, engineers, and product managers to define requirements and drive system improvements.
• Ensure reproducibility, observability, and cost efficiency across ML workflows.
• Contribute to the next generation of AI driven workflow orchestration, enabling researchers to run and evaluate models autonomously.
• Implement and evolve APIs and microservices with the cloud engineering team using AWS services and infrastructure as code to automate and standardize workflows.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 251-500 employees