Machine Learning Research Scientist

Harnham • United States

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Join a fast-growing, AI-driven biotech research startup backed by over $50 million in pharmaceutical funding. You will design, implement, and train foundation models using multimodal biological data, rapidly prototype research ideas, and apply ML pipelines to new drug targets. Requires a Ph.D. in Computer Science or Mathematics, first-author publications at top venues, and strong Python and PyTorch expertise.

Key Highlights

Design, train, and deploy foundation models on multimodal biological data for drug discovery

Ph.D. in Computer Science or Mathematics with first-author publications at top ML venues (NeurIPS, ICML, ICLR, CVPR)

Fully remote or optional hybrid from South San Francisco

Backed by more than $50 million in funding from a major pharmaceutical company

Shape cutting-edge research at the intersection of machine learning and biotech

Interested in remote work opportunities in Machine Learning & AI? Discover Machine Learning & AI Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.

Key Responsibilities

Design, implement, and train foundation models using multimodal biological data

Continuously improve codebase robustness through refactoring, testing, and engineering best practices

Rapidly prototype research ideas to determine the best research approaches

Apply machine learning pipelines to new drug targets, ensuring state-of-the-art performance and scalability

Technical Skills Required

Machine Learning Python PyTorch

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

Benefits & Perks

Fully remote work option

Hybrid work option in South San Francisco

Job Description

Title: ML Scientist

Location: Fully remote or optional hybrid in South SF - Strong preference to PST or MST.

About the Role

Our client is a fast-growing, AI-driven biotech research startup based in SF with more than $50 million in funding from a pharmaceutical giant.

Responsibilities

As a Machine Learning Research Scientist, you will:

Design, implement, and train foundation models with multimodal bio data.
Continually improve the robustness of existing codebase through refactoring, testing, and best engineering practices.
Rapidly prototype research ideas to determine best research approaches.
Apply our ML pipeline to new drug targets, ensuring state-of-the-art performance and scalability.

Want the full job description? Read the complete details on LinkedIn, the original posting.

Continue on LinkedIn

This is a short excerpt. All rights to the full description belong to its original publisher.