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Machine Learning Engineer - Infra

Genentech

$167,400 - $310,800
Sep 11, 2025
South San Francisco, CA, US
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Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how advances in AI, data, and computational sciences 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.

Requirements

  • 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.
  • Demonstrated ability to lead technical projects from conception to completion and deliver high-quality, scalable, and reliable software.
  • Excellent problem-solving skills and a proactive attitude, with the ability to anticipate needs and drive projects to completion.
  • Extensive experience with large-scale ML model platforms and tools.
  • Deep understanding and experience with PyTorch implementation, especially regarding scaling inference performance.

Responsibilities

  • 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.
  • Collaborate closely with ML engineers and data scientists to understand and address their infrastructure needs.
  • Document infrastructure designs, processes, and operational procedures.
  • Mentor junior engineers and drive technical alignment and influence across teams.

Other

  • Ability to thrive in a fast-paced environment and adapt to evolving requirements while adhering to corporate guidelines.
  • Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and influence technical decisions.
  • Relocation benefits are available for this job posting