AI Engineer I — Drug Discovery & Multimodal ML

Frontier Medicines; South San Francisco (CA); On-site; USD 100,000 - 159,000; Full time

Benefits offered by this job

Health Care Plan (Medical, Dental &amp

Retirement Plan (401k, IRA)

Life Insurance (Basic, Voluntary &

Paid Time Off (Vacation, Sick & P|

Family Leave (Maternity, Paternity)

Short Term & Long Term Disability

Training & Development

Free Food & Snacks

Wellness Resources

Stock Option Plan

Job summary

Frontier Medicines is seeking a highly motivated Scientist, AI Engineer to join our AI organization in South San Francisco. You will design architectures for domain-specific multimodal AI models, build multi-agent systems for scientific workflows, and deploy models to support covalent small molecule drug discovery.

You will work with medicinal chemistry, biology, and cross-functional teams to translate complex data into actionable insights, leveraging proprietary data to accelerate compound

Qualifications

• Bachelor’s degree in computational or quantitative discipline.
• Strong programming skills in Python.
• Excellent written and verbal communication.
• Authorized to work in the United States.

Responsibilities

• Design architecture and training strategies for multimodal AI models.
• Build multi-agent systems for scientific workflows and tool calling.
• Develop generative molecular design approaches and SAR analysis.
• Deploy models into serving infrastructure for researchers.

Skills

Python

Cross-functional collaboration

Data science

Education

Bachelor’s degree in computational/quantitative field

PhD with 1 year experience

Tools

DeepSpeed

FSDP

GNNs

Job description

Frontier Medicines is seeking a highly motivated Scientist, AI Engineer to join our AI organization in South San Francisco. You will design architectures for domain-specific multimodal AI models, build multi-agent systems for scientific workflows, and deploy models to support covalent small molecule drug discovery.

You will work with medicinal chemistry, biology, and cross-functional teams to translate complex data into actionable insights, leveraging proprietary data to accelerate compound