Applied AI Engineer: Drug Discovery ML Innovator

GlaxoSmithKline; South San Francisco (CA); On-site; USD 136,000 - 227,000; Full time

Benefits offered by this job

Health care benefits

Retirement benefits

Paid holidays

Vacation

Paid caregiver/parental and medical-le

Job summary

GlaxoSmithKline seeks an Applied AI Engineer to embed with cross-functional teams, delivering practical AI/ML solutions aligned with R&D and business priorities. You will prototype, develop, deploy, and transfer knowledge to partner teams while building reusable patterns and pipelines with privacy and governance in mind.

You will collaborate with scientists and domain experts to accelerate drug discovery, leverage NLP/LLM, knowledge graphs, and causal inference, and containerize services for

Qualifications

• Bachelor's degree in a quantitative field or equivalent professional experience.
• 2+ years building and deploying ML models.
• Experience with Python ML libraries and cloud/container tools.

Responsibilities

• Provide guidance on AI/ML use cases, feasibility, and deployment options.
• Develop, evaluate, and deploy ML models and AI-powered tools.
• Share reusable patterns and pipelines; ensure privacy and governance considerations.

Skills

Python

ML frameworks

Cloud platforms

Cross-functional teams

Education

Bachelor's degree

Master's/PhD preferred

Tools

Docker

Kubernetes

GCP/AWS/Azure

Job description

GlaxoSmithKline seeks an Applied AI Engineer to embed with cross-functional teams, delivering practical AI/ML solutions aligned with R&D and business priorities. You will prototype, develop, deploy, and transfer knowledge to partner teams while building reusable patterns and pipelines with privacy and governance in mind.

You will collaborate with scientists and domain experts to accelerate drug discovery, leverage NLP/LLM, knowledge graphs, and causal inference, and containerize services for