Machine Learning Engineer, Foundation Models (Prescient / AI for Drug Discovery)

Genentech • New York, NY

112d • $141,100 - $262,100

About The Position

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. 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.

Requirements

• You have a BS/MS in Computer Science, Statistics, related field, or equivalent experience and 2+ years of industry experience in machine learning; or a PhD in Computer Science and related field and 0+ years of industry experience.
• You have demonstrated success in technical capabilities deploying machine learning models in industry-grade production environments.
• Experience in back-end development for LLM-powered agents and tools, or working with Model Context Protocol (MCP).
• You have experience in developing LLM/GenAI products and are familiar with open-source AI frameworks like Open WebUI.
• Strong interest in solving problems in drug discovery and biomedical science.
• You have strong programming skills in Python and using deep learning frameworks like PyTorch.
• You have extensive experience with deep learning & LLMs.
• A collaborative and open-minded team player who values constructive feedback, refrains from judgment, and fosters a positive and respectful team environment.
• Strong communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical audiences as well as interfacing with scientific and engineering leadership.
• A passion for solving complex technical problems and a commitment to staying up-to-date with the latest developments in machine learning.
• An extensive track record of delivering innovative solutions in machine learning.

Responsibilities

• Develop various, cutting-edge internal AI/ML-based applications for drug discovery and development.
• Develop across the lifecycle of LLMs including data engineering, pre-training, fine-tuning, post-training, and evaluation.
• Deploy models in production environments, working closely with other engineers to ensure scalability and reliability.
• Solve core backend challenges in ML and engineering including the design, implementation, and scaling of our data, training, and deployment pipeline.
• Collaborate closely with cross-functional teams across both AIDD and Roche to solve complex problems in the life sciences.

Benefits

• Relocation benefits are available for this job posting.
• A discretionary annual bonus may be available based on individual and Company performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees