Senior ML Engineer — Drug Discovery Platform

Aimlroles; South San Francisco (CA); On-site; USD 148,000 - 274,000; Full time

Job summary

Roche Genentech seeks a skilled Machine Learning Engineer to build and operate software platforms enabling AI-driven molecule design. You will integrate ML models, scientific tools, and data sources into end-to-end workflows used by researchers to design therapeutic molecules.

You will develop production-quality software, deploy in cloud environments, and collaborate with software engineers, ML researchers, and drug discovery teams across Roche and Genentech.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.

Responsibilities

• Develop and maintain backend services, APIs, and user-facing applications for an agentic drug design platform.
• Integrate machine learning models, scientific applications, databases, and internal services into reliable end-to-end workflows.
• Implement agentic capabilities, including tool execution, workflow orchestration, state management, evaluation, and observability.
• Build software that enables scientists to configure, run, inspect, and reproduce computational molecule design workflows.
• Deploy models and scientific tools into secure, scalable, cloud-based production environments.
• Write clean, maintainable, and well-tested code, and contribute to automated testing, documentation, code reviews, and CI/CD practices.
• Monitor deployed services, troubleshoot issues, and improve platform reliability, performance, and usability.
• Work closely with users to understand scientific needs, gather feedback, and translate requirements into practical software solutions.
• Contribute to technical design decisions and the ongoing evolution of the platform’s architecture.
• Develop familiarity with relevant drug discovery concepts and apply software engineering best practices in a scientific research environment.

Skills

Python

APIs

Automated testing

Data modeling

System design

Production software

Cloud environments

Relational databases

Asynchronous workflows

Containers

Version control

CI/CD

AI-enabled applications

React

Model Context Protocol

Workflow orchestration

Retrieval systems

Evaluation frameworks

Education

Bachelor's or Master's in Computer Science/Software Engineering or related field

Tools

React

Model Context Protocol

Workflow orchestration

Retrieval systems

Evaluation frameworks

Job description

Roche Genentech seeks a skilled Machine Learning Engineer to build and operate software platforms enabling AI-driven molecule design. You will integrate ML models, scientific tools, and data sources into end-to-end workflows used by researchers to design therapeutic molecules.

You will develop production-quality software, deploy in cloud environments, and collaborate with software engineers, ML researchers, and drug discovery teams across Roche and Genentech.