Associate Director, AI​/ML Engineering

Our Artificial Intelligence Machine Learning (AI/ML) capabilities are critical accelerators to our mission to deliver new medicines that save and improve lives. Core to the Data, AI, and Genome Sciences function is an AI/ML-first approach to improving target and biomarker discovery, validation, selection, and elucidating complex disease mechanisms.

As Associate Director, AI/ML Engineering, you will build state‑of‑the‑art AI/ML tools and pipelines to accelerate scientific discovery. You will be part of a cross‑functional team of computational biologists, bioinformaticians, data scientists, software engineers, and other AI/ML engineers that strive to identify therapeutic targets.

• Lead the design, development, deployment, monitoring, and maintenance of reusable software components that can be integrated into reliable and scalable AI/ML workflows, tools, and applications.
• Collaborate in a highly‑matrix environment to identify research questions, scope data requirements, and develop appropriate AI/ML solutions.
• Provide tactical and strategic technical support for AI/ML researchers and data scientists.
• Stay up‑to‑date with the latest advancements in AI/ML research and operations to proactively propose innovative approaches aligned with industry standards that enhance our internal capabilities.

• Education:
  
  PhD in Computer Science, Physics, Electrical Engineering, Biomedical Engineering, Bioinformatics, Computational Biology, Genetics/Genomics, or a related STEM field with 4+ years post‑graduation experience; or Master’s with 7+ years of experience; or Bachelor’s with 11+ years of experience.
• Engineer with a passion to focus relentlessly on enabling teammates with best‑in‑class tools and pipelines in a fast‑paced industry environment.
• Excellent communication and interpersonal skills; team‑focused collaborative mindset to provide technical support to code‑heavy AI/ML engineers and data scientists.
• Self‑starter able to lead projects independently.
• Experience with Python, Torch, AWS, MLFlow, Docker, Git Hub, and Git Hub Actions CI/CD workflows.
• Experience building, deploying, and scaling novel AI/ML pipelines, particularly transformer‑based foundation models and representation learning to support downstream tasks.
• Experience with the full SDLC of maintaining Python packages and Docker images following modern Dev Sec Ops  best practices.
• Willingness to learn from others and to teach others.
• Excellent communication skills and ability to work collaboratively in a multi‑disciplinary team.
• Interest in life science problems and how scientific environments can accelerate discovery.
• Experience with multi‑omics and imaging data is nice to have.
• Experience with Claude Code, Databricks, and GCP is nice to have.

• Amazon Web Services (AWS).
• Databricks Platform.
• Google Cloud Platform for Machine Learning.
• Imaging Analysis.
• Omics.

The salary range for this role is $ – $. The successful candidate will also be eligible for annual bonus and long‑term incentive, if applicable.

Benefits include medical, dental, vision, healthcare, and other insurance benefits for employee and family, retirement benefits including 401(k), paid holidays, vacation, and compassionate and sick days.

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics.

As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.

San Francisco Residents Only:
This position is for San Francisco residents only. Los Angeles Residents:
We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local laws.