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About the Role

The Computational Sciences Center of Excellence (CS CoE) is seeking a talented Machine Learning Engineer to build and operate software platforms that put advanced models and computational tools into the hands of scientists. This role focuses on developing technology and deploying reliable, intuitive solutions that create measurable impact across drug discovery, specifically building an agentic platform for molecule design.

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.

Requirements

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
For Machine Learning Engineer: 3+ years of professional software engineering experience.
For Senior Machine Learning Engineer: 5+ years of professional software engineering experience.
Proficient in Python and strong software engineering fundamentals, including API design, automated testing, data modeling, and system design.
Experience independently delivering production software from technical design and implementation through deployment, monitoring, and ongoing support.
Experience building backend services, platform capabilities, developer tools, or user-facing applications in a cloud environment.
Comfortable working with relational databases, asynchronous workflows, containers, version control, and CI/CD practices.
Ability to translate user and scientific needs into practical technical solutions.
Effective communication with engineers, researchers, product managers, and domain experts.
Interest in AI-enabled applications and integrating models, scientific tools, and data into reliable workflows.
Motivation to deliver software to users and improve real scientific workflows.

Skills

Python
API design
Automated testing
Data modeling
System design
Backend services
Platform capabilities
Developer tools
User-facing applications
Cloud environment
Relational databases
Asynchronous workflows
Containers
Version control
CI/CD practices
React
Model Context Protocol
Workflow orchestration
Retrieval systems
Evaluation frameworks
Cheminformatics
Computational chemistry
Biology
Drug discovery

Location

South San Francisco
New York

Work Type

Onsite (3 days a week)

Experience Level

3+ years (Machine Learning Engineer)
5+ years (Senior Machine Learning Engineer)

Education Level

Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience

Salary/Compensations

Machine Learning Engineer (California): $147,600 - $274,000
Senior Machine Learning Engineer (California): $168,100 - $312,300
Machine Learning Engineer (New York): $141,100 - $262,100
Senior Machine Learning Engineer (New York): $160,900 - $298,700

Benefits

Discretionary annual bonus
Benefits detailed at provided link

About the Company

Roche is driven by a mission to innovate and advance science for a healthier future, ensuring access to healthcare.
Advances in AI, data, and computational sciences are transforming drug discovery and development.
The Computational Sciences Center of Excellence (CS CoE) is a strategic, unified group harnessing data and AI to assist scientists in delivering innovative medicines.

Equal Opportunity

Genentech is an equal opportunity employer.
Policy prohibits unlawful discrimination based on Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
Accommodations available for applicants with disabilities during the online application process.