Machine Learning Engineer/Senior Machine Learning Engineer - Infra

Roche • South San Francisco, CA

20h

About The Position

Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche’s Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. At Roche's AI for Drug Discovery (AIDD) group (Prescient Design), we are revolutionizing drug discovery with cutting-edge machine learning techniques. We are seeking a highly motivated and skilled ML Engineer to join our growing team within Genentech Research and Early Development AI Drug Development (gRED AIDD). This role is crucial for enhancing the core features that power our machine learning initiatives. The ideal candidate will have deep experience building scalable software and infrastructure, while consistently adhering to corporate standards and best practices.

Requirements

• BS/MS with 2-3 years of industry experience required
• Proven experience designing, deploying, and managing infrastructure on AWS (EC2, S3, RDS, etc.).
• Proficiency in scripting languages (e.g., Python) and compiled languages (e.g., C++, Go, Rust).
• Strong experience with Git and repository management.
• Excellent problem-solving skills and a proactive attitude, with the ability to anticipate needs and drive projects to completion.
• Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and influence technical decisions.
• Ability to thrive in a fast-paced environment and adapt to evolving requirements while adhering to corporate guidelines.
• BS/MS with 3-5 years of industry experience required
• Demonstrated ability to lead technical projects from conception to completion and deliver high-quality, scalable, and reliable software.

Nice To Haves

• Extensive experience with large-scale ML model platforms and tools.
• Deep understanding and experience with PyTorch implementation, especially regarding scaling inference performance.
• A history of significant contributions to open-source projects or industry standards.

Responsibilities

• Design, implement, and maintain scalable and reliable ML infrastructure
• Collaborate closely with ML engineers and data scientists to understand and address their infrastructure needs.
• Document infrastructure designs, processes, and operational procedures.
• Design, implement, and maintain scalable and reliable ML infrastructure, leading the architecture and delivery of significant technical solutions.
• Proactively identify and solve complex, often cross-functional, technical problems within the ML infrastructure domain.
• Mentor junior engineers and drive technical alignment and influence across teams.

Benefits

• 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: Mid Level
• Education Level: Associate degree