Senior Director of AI/ML Engineering – Head of Engineering for World Models
GSK
August 25, 2026
On-site
San Francisco, CA
IT
As the Sr. Director of AI/ML Engineering you will:
- Lead a machine learning engineering team specializing in medical imaging and multimodal health data applications
- Manage complex, multi-quarter, cross-functional projects
- Be a standard bearer for data science and software engineering best practices
- Develop plans to meet requirements, organize a team capable of executing the plans, and lead and track delivery
- Drive an interview process to enable team growth adhering to diversity and inclusion requirements
- Maintain a safe and inclusive team environment in which people thrive
- Communicate clearly and accurately to leadership and the broader organization
Basic Qualifications:
- 7+ years proficiency with standard deep learning algorithms and model architectures
- Experience developing high-performing teams through coaching and feedback
- 3+ years in a technical lead or engineering manager role with direct reports
- 7+ years in professional software development practices (code standards, code review, version control, CI/CD, testing, documentation, Agile) with ability to mentor others
- 10+ years advanced Python programming skills
Preferred Qualifications:
- Experience with large language models
- Experience working in AI/ML health applications
- Track record of end-to-end development of deployed products
- Track record of delivering robust software solutions
- In-depth knowledge of ML best practices, scalable training and deployment
- Experience with biological sequence data (e.g., genomics, transcriptomics, proteomics)
- ML-powered products for health applications
Skills: AI, Artificial Intelligence Ethics, Deep Learning, Machine Learning, Predictive Modeling, Python.
Compensation & benefits (US): Annual base salary $232,650–$387,750 (location-dependent), annual bonus, long-term share-based incentive eligibility; health care/insurance, retirement, paid holidays/vacation, caregiver/parental and medical leave.
- Lead a machine learning engineering team specializing in medical imaging and multimodal health data applications
- Manage complex, multi-quarter, cross-functional projects
- Be a standard bearer for data science and software engineering best practices
- Develop plans to meet requirements, organize a team capable of executing the plans, and lead and track delivery
- Drive an interview process to enable team growth adhering to diversity and inclusion requirements
- Maintain a safe and inclusive team environment in which people thrive
- Communicate clearly and accurately to leadership and the broader organization
Basic Qualifications:
- 7+ years proficiency with standard deep learning algorithms and model architectures
- Experience developing high-performing teams through coaching and feedback
- 3+ years in a technical lead or engineering manager role with direct reports
- 7+ years in professional software development practices (code standards, code review, version control, CI/CD, testing, documentation, Agile) with ability to mentor others
- 10+ years advanced Python programming skills
Preferred Qualifications:
- Experience with large language models
- Experience working in AI/ML health applications
- Track record of end-to-end development of deployed products
- Track record of delivering robust software solutions
- In-depth knowledge of ML best practices, scalable training and deployment
- Experience with biological sequence data (e.g., genomics, transcriptomics, proteomics)
- ML-powered products for health applications
Skills: AI, Artificial Intelligence Ethics, Deep Learning, Machine Learning, Predictive Modeling, Python.
Compensation & benefits (US): Annual base salary $232,650–$387,750 (location-dependent), annual bonus, long-term share-based incentive eligibility; health care/insurance, retirement, paid holidays/vacation, caregiver/parental and medical leave.