Base: $160,050 to $266,750 (us locations); bonus/e...
Hybrid
Deep learning framework experience pytorch jax tensorflow
Advanced python programming expertise
Software engineering best practices ci cd containerization
GSK is seeking an AI/ML Engineer to join their AI for Science team, focusing on developing machine learning models for scientific challenges in healthcare. The ideal candidate should have a solid background in machine learning, software engineering practices, and a relevant educational background, with a strong emphasis on collaboration and continuous development
Job Summary
The role involves driving the development of AI models and agentic systems to solve complex scientific tasks across GSK's biomedical data sources.
Candidates must possess a track record in developing robust, tested, and high-performance code within an agile environment.
GSK offers competitive compensation including an annual bonus, share-based long-term incentives, and comprehensive health and retirement benefits.
Matching Summary
Match Score: 85
GSK is seeking an AI/ML Engineer to join their AI for Science team, focusing on developing machine learning models for scientific challenges in healthcare. The ideal candidate should have a solid background in machine learning, software engineering practices, and a relevant educational background, with a strong emphasis on collaboration and continuous development.
Salary
Base: $160,050 to $266,750 (US locations); Bonus/Equity: Annual bonus and share-based long term incentive program; Benefits: Health care, insurance, retirement, paid leave
Skills & Requirements
Must-have
Deep learning framework experience PyTorch JAX TensorFlow
Advanced Python programming expertise
Software engineering best practices CI CD containerization
Experience with machine learning literature and SOTA approaches
Nice-to-have
Experience with Large Language Models and Agentic AI
Contributions to open-source projects
Relevant scientific publications in AI or bioinformatics
Knowledge of disease biology and molecular medicine
Experience with biomedical data genomics proteomics
Key Requirements
Bachelor's Master's or Doctorate in quantitative or engineering discipline
Fluency in English language
Equivalent work experience delivering state-of-the-art AI/ML solutions