Senior Director of AI/ML Engineering – Head of Engineering for World Models

GSK•South San Francisco, CA

23h•$232,650 - $387,750•Onsite

About The Position

We are looking for a Senior Director of AI/ML Engineering – Head of Engineering for World Models. This is a technical management track role with responsibility for building out a team in this domain. The candidate should be comfortable being accountable for setting the direction, standards, and culture of a machine learning engineering sub-team, with demonstrable expertise across machine learning, software engineering, computational pathology and medical imaging. Equally important will be excellent communication, interpersonal and organizational skills, and the ability to represent and transmit the values and principles of our AI/ML team. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one.

Requirements

7+ years proficiency with standard deep learning algorithms and model architectures
Have developed a high-performing team through coaching, feedback and ensuring
3+ years' experience in a technical lead or engineering manager role with direct reports
7+ years' experience of professional software development practices: code standards, code review, version control, CI/CD, testing, documentation, Agile, with the ability to mentor others in these practices
10+ years Advanced Python programming skills

Nice To Haves

Experience with large language models
Experience working in AI/ML health applications
Track record as an independent contributor capable of end-to-end development of deployed products
Track record of delivering robust software solutions
In depth knowledge in machine learning best practices, scalable training and deployment
Experience working with biological sequence data (e.g. genomics, transcriptomics, proteomics)
ML-powered products for health applications

Responsibilities

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
Operate in a transparent way, communicating clearly and accurately to leadership and the broader organization within the organization