Generate:Biomedicines
Senior Software Engineer I, ML Ops
Generate:Biomedicines, Somerville, Massachusetts, us, 02145
About Generate:Biomedicines
Generate:Biomedicines is a new kind of therapeutics company 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 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, representing a potentially fundamental shift in what is possible in biotherapeutic development.
Founded in 2018 by Flagship Pioneering, Generate:Biomedicines has received nearly $700 million in funding and employs more than 300 people with offices in Somerville and Andover, Massachusetts.
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. The role requires at least 3 days per week onsite in our Somerville, MA location.
Here's how you will contribute
Build, maintain, and scale distributed ETL pipelines to integrate proprietary and public datasets into ML model training.
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.
The Ideal Candidate will have
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 a 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.
Legal and Compensation Generate:Biomedicines is committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status.
Base salary range: $154,000 – $216,000 USD. Eligible for an annual bonus, equity compensation, and a competitive benefits package.
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Founded in 2018 by Flagship Pioneering, Generate:Biomedicines has received nearly $700 million in funding and employs more than 300 people with offices in Somerville and Andover, Massachusetts.
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. The role requires at least 3 days per week onsite in our Somerville, MA location.
Here's how you will contribute
Build, maintain, and scale distributed ETL pipelines to integrate proprietary and public datasets into ML model training.
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.
The Ideal Candidate will have
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 a 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.
Legal and Compensation Generate:Biomedicines is committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status.
Base salary range: $154,000 – $216,000 USD. Eligible for an annual bonus, equity compensation, and a competitive benefits package.
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