Director AI/ML Engineer for Computer Vision

About GSK

At GSK, we envision a future where advanced applications of Machine Learning and AI enable the development of novel therapies, personalized drugs for emerging diseases, and better outcomes at reduced costs with fewer side effects. This ambitious vision requires cutting-edge ML and AI solutions, and we are seeking passionate individuals to help us achieve it.

About the Role

We are looking for a Director AI/ML Engineer for Computer Vision to join our team. The ideal candidate will have a proven track record in developing state-of-the-art deep learning models to solve complex real-world computer vision problems. You should be an exceptional scientist with profound knowledge in modern machine learning, classical computer vision techniques, and relevant software libraries.

You will be responsible for converting vaguely defined computer vision challenges into well-defined machine learning problems. This role requires the ability to work independently, as well as lead a team of engineers to plan, execute, and deliver comprehensive AI/ML-driven solutions. Your responsibilities will span the entire project lifecycle, from sourcing training data and designing/implementing SOTA machine learning models, to testing, benchmarking, product-driven research for model performance improvement, and shipping stable, tested, performant code and services in an agile environment.

An educational or professional background in biological and medical sciences is a plus but not a prerequisite.

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

Basic Qualifications

• PhD in modern computer vision (deep learning focused)
• Highly experienced in AI/ML engineering with an an established track record of successful delivery of state-of-the-art AI/ML solutions
• An outstanding scientist, machine learning engineer, and software engineer. Demonstrated expertise and depth in deep learning for computer vision, including but not limited to image segmentation, object detection, weakly supervised learning, and self-supervised learning
• Familiarity with classical and traditional computer vision algorithms
• Proficiency with a broad range of deep learning algorithms and in-depth understanding of major CNN model architectures
• Familiarity with current deep learning literature and the mathematics of machine learning
• In-depth knowledge in machine learning best practices, scalable training and deployment, model introspection, and evaluation
• Advanced level in PyTorch, TensorFlow, or other deep learning frameworks
• Highly experienced/accomplished in software engineering with advanced skills in Python and/or C++
• Experience with DevOps stacks: version control, CI/CD, containerization, etc.
• Proven ability to mentor, coach, and lead junior members of the team

Preferred Qualifications

• Peer-reviewed publications in major AI conferences
• Experience in the design, development, and deployment of commercial AI/ML software
• Track record of contributing to open source projects
• The mentality of commit early and often, metrics before models, and shipping high-quality production code
• Knowledge in disease biology, molecular biology, and biochemistry
• Experience with biological data (e.g., genomics, transcriptomics, epigenomics, proteomics, etc.), clinical data (e.g., electronic health records, clinical images)
• Previous line management experience is a plus but not required for applying for this position