Senior Machine Learning Engineer, AI Enablement

Genentech • Daly City, CA

4d • $147,500 - $273,900 • Hybrid

About The Position

Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) are leveraging advances in AI, data, and computational sciences to transform drug discovery and development. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group aiming to harness the power of data and Artificial Intelligence (AI) to assist scientists in both pRED and gRED. Within the CoE, the Data and Digital Catalyst (DDC) organisation drives the modernization of computational and data ecosystems and integrates digital technologies across Research and Early Development. The Engineering - AI Enablement group within DDC is responsible for enabling AI across research organizations by providing employees with the tools and support to adopt AI, building and deploying AI-based solutions to reshape business processes, scaling model training and inference, evaluating AI/ML model quality, and building impactful applications. The team is cross-functional, impact-driven, independent, and constantly evolving to meet scientific needs, with the goal of making AI/ML an everyday utility.

Requirements

• Master’s with 3-5 years or Bachelors with 4-7 years experience and a degree in Computer Science or similar technical field, or equivalent experience in machine learning engineering roles.
• Strong proficiency with AI/ML frameworks, libraries, and toolsets.
• Expert knowledge of statistics, machine learning theory, and algorithms.
• Strong knowledge of ML performance optimization, GPU best practices.
• Experience with kubernetes, relational databases, NoSQL databases, or data lakes, and experience working on cloud-native architectures in public clouds (ideally AWS).
• Proven understanding and application of engineering best practices.
• Excellent communication skills and ability to build trusted partnerships with internal and external collaborators.
• Ability to quickly acquire new technologies and programming languages and a passion for continuous learning.

Nice To Haves

• Experience with imaging or biological data and processes is a strong plus.
• Experience working with scientists or in a research environment is advantageous.
• Experience with workflow automation, GenAI, and/or agents is a plus.

Responsibilities

• Design, develop, and test robust, scalable, and maintainable AI/ML facing scientific web applications and backend systems.
• Build tools to evaluate AI/ML model performance and establish new ways to understand AI quality.
• Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications.
• Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data-driven initiatives.
• Implement, adopt, or evaluate new AI/ML algorithms and analytical techniques.
• Contribute to architectural decisions, code reviews, and the evolution of our development processes.
• Be willing to span the stack and contribute where needed, even outside of your core area of expertise.
• Stay up-to-date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity.

Benefits

• Relocation benefits are available for this job posting.
• A discretionary annual bonus may be available based on individual and Company performance.
• This position also qualifies for the benefits detailed at the link provided below.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior