AI/ML Engineer - Sequence Learning

$130,900 - $177,100/Yr

GlaxoSmithKline - San Francisco, CA

Full-time - Mid Level

San Francisco, CA

Chemical Manufacturing

About the position

At GSK, we envision a future where advanced applications of machine learning and AI will enable us to develop novel therapies for existing diseases and respond swiftly to emerging health challenges with personalized medications. This ambitious vision necessitates the creation of innovative products and solutions at the forefront of machine learning and AI technology. The AI/ML Sequence Learning Team is dedicated to applying machine learning and AI methodologies to biological sequence data, including DNA, RNA, and protein data derived from extensive human genetic, functional genomic, and single-cell experiments. By developing models that operate directly on sequence data, we aim to infer how genetic variants influence protein and RNA abundance, structure, and function, which could revolutionize drug discovery and lead to the identification of new life-saving medicines. We are seeking a highly skilled AI/ML Engineer to help actualize this vision. Ideal candidates will have a proven history of delivering high-performing AI/ML products in production settings. They should possess a strong foundation in machine learning techniques, with both breadth across various methods and depth in at least one specific area. Additionally, candidates must be proficient software engineers with a track record of producing stable, tested, and efficient code and services within an agile framework. A strong educational background in Computer Science, Applied Mathematics, or a related field is essential, along with a passion for tackling complex challenges in AI and machine learning. While a background in biological sciences is advantageous, a commitment to continuous learning and development is crucial for success in this role. The AI/ML team operates on principles of ownership, accountability, continuous development, and collaboration. We are committed to fostering a long-term career path for our employees and strive to create an exceptional workplace environment. Our leadership is dedicated to supporting your career growth and development from day one.

Responsibilities

• Apply machine learning and AI methods to biological sequence data from large-scale human genetic and functional genomic experiments.
• Develop models that infer how genetic variants affect protein and RNA abundance, structure, and function.
• Collaborate with cross-functional teams to integrate AI/ML solutions into drug discovery processes.
• Write stable, tested, and performant code in an agile environment.
• Contribute to the continuous improvement of AI/ML methodologies and practices within the team.

Requirements

• Graduate studies in Computer Science or Applied Mathematics, or equivalent work history in AI/ML techniques.
• Experience in software engineering with Python.
• Proficiency with deep learning frameworks such as PyTorch or TensorFlow.
• Experience with the machine learning stack.

Nice-to-haves

• PhD in Computer Science.
• Knowledge of disease biology, molecular biology, and biochemistry.
• Experience with biological data such as genomics, transcriptomics, epigenomics, and proteomics.
• Understanding and application of best practices in machine learning.
• Track record of contributing to open-source projects.

Benefits

• Health care and other insurance benefits for employees and their families.
• Retirement benefits.
• Paid holidays and vacation.
• Paid caregiver/parental and medical leave.