Machine Learning Engineer

At GSK, we envision a future where advanced Artificial Intelligence applications enable the development of novel therapies for existing diseases and rapid responses to emerging diseases with personalized drugs, leading to better outcomes at reduced costs and fewer side effects.

We are seeking an accomplished Machine Learning Engineer to contribute to this vision. In this role, you will design and engineer agentic systems and machine learning models to understand the molecular mechanisms of disease and accelerate the development of new therapies. You will work with cutting-edge models, foundational genomics models, and multiomics datasets from patients and lab experiments to model aspects of molecular biology and medicinal chemistry that inform our understanding of disease, drug design, response, and longevity. While familiarity with genomics and RNA biology is advantageous, it is not required; machine learning engineers with a track record of excellence in other domains who are eager to learn are encouraged to apply.

Strong candidates will have a history of delivering high-performing AI/ML products, academic excellence, and a passion for solving complex problems in Artificial Intelligence and Machine Learning. A background in biological sciences is beneficial but not necessary; a passion for developing therapies for new and existing diseases and a commitment to continuous learning and development are essential.

The AI/ML team operates on the principles of ownership, accountability, continuous development, and collaboration. We prioritize long-term hires and are committed to making this a great place to work, with leaders dedicated to your career and development from day one.

Basic Qualifications:

• Degree in a quantitative or engineering discipline (computer science, bioengineering, physics, mathematics, electrical engineering, etc.) or equivalent work experience
• Experience with LLM agents, evaluations, and agentic workflow design
• Experience in at least one major deep learning framework (PyTorch, TensorFlow)
• Programming expertise in Python
• Experience using Git, SQL, and shell scripting within an artificial intelligence and machine learning engineering stack
• Experience applying machine learning best practices

Preferred Qualifications:

• Internship experience as a researcher in an AI/ML-focused academic lab or as an AI/ML engineer or software engineer in industry
• Experience working with biomedical datasets (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images)
• Track record of contributing to open-source projects
• Mentality of committing early and often, prioritizing metrics over models, and shipping high-quality production code

Benefits:

• Health care and other insurance benefits (for employee and family)
• Retirement benefits
• Paid holidays
• Vacation
• Paid caregiver/parental and medical leave

Salary:

• For locations in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary ranges from $136,125 to $226,875.