Machine Learning Engineer - Infra

Genentech, a member of the Roche group, is seeking a Machine Learning Engineer to join their AI for Drug Discovery (AIDD) group within their Research and Early Development organization. This role is part of the new Computational Sciences Center of Excellence (CoE), a strategic initiative aimed at harnessing the transformative power of AI and data science in drug discovery and development.

The position offers an opportunity to work at the intersection of cutting-edge machine learning and biotechnology, where you'll be responsible for building and maintaining the infrastructure that powers critical ML initiatives. You'll be working with state-of-the-art technologies including AWS cloud services, PyTorch, and various programming languages to create scalable solutions that accelerate drug discovery.

As a Machine Learning Engineer, you'll lead the architecture and implementation of significant technical solutions, collaborate closely with data scientists and ML engineers, and have the opportunity to mentor junior team members. The role requires expertise in cloud infrastructure, strong programming skills, and the ability to solve complex technical challenges.

The position offers competitive compensation ranging from $167,400 to $310,800, along with relocation benefits and potential annual bonuses. Based in either South San Francisco or New York City, you'll be part of a team that's revolutionizing drug discovery through advanced AI techniques, working on projects that directly impact the development of innovative medicines for patients worldwide.

This is an excellent opportunity for an experienced engineer who wants to apply their technical skills to meaningful healthcare challenges while working with a leading biotechnology company known for its groundbreaking scientific achievements and commitment to improving patients' lives.