Principal machine learning engineer

Storm3; San Francisco (CA); Hybrid; USD 250,000 - 300,000; Full time

Job summary

A leading biotech firm in South San Francisco is seeking a Staff/Principal ML Engineer to lead and grow a dynamic AI/ML team focused on drug discovery. The ideal candidate will possess strong multimodal and computer vision expertise, alongside a proven track record in impactful AI research. This is an opportunity to work at the forefront of AI innovation with a competitive salary and comprehensive benefits.

Benefits

Flexible PTO

Medical, Dental, and Vision Insurance

Supportive team committed to Diversity & Inclusion

Qualifications

• Expertise in multimodality, computer vision, and/or generative biology models.
• Contributions to impactful AI research with publications in top conferences/journals.
• Proficiency in VLMs, SSL, and Reinforcement Learning.

Responsibilities

• Design and develop novel ML models to enhance multimodal drug discovery approaches.
• Review research papers, evaluate, and integrate existing frameworks, methods, and tools.
• Contribute proactively to roadmap planning.
• Collaborate with cancer biologists, biostatisticians, and wet-lab specialists to define product requirements and functionality.

Skills

Multimodal

Computer Vision

Generative Biology Models

VLMs

SSL

Reinforcement Learning

Education

MS or PhD in Computer Science, ML, or related fields

Job description

Staff/Principal ML Engineer - Computer Vision / Bio / Multimodal AI

AI/ML Drug & Cell Discovery ($170M Series C)

South San Francisco, USA (hybrid)

$250,000 - $300,000 salary + equity

Join a highly accomplished drug discovery team with a track record of success, including patenting 6+ entities progressing through clinical stages.

Lead and expand a fast-growing science AI/ML team.

Seeking talent with expertise in multimodal, computer vision, or bio-based Machine Learning to develop and optimize innovative deep learning models.

Responsibilities:

1. Design and develop novel ML models to enhance multimodal drug discovery approaches.
2. Review research papers, evaluate, and integrate existing frameworks, methods, and tools.
3. Contribute proactively to roadmap planning.
4. Collaborate with cancer biologists, biostatisticians, and wet-lab specialists to define product requirements and functionality.

Requirements:

1. MS or PhD in Computer Science, ML, or related fields.
2. Expertise in multimodality, computer vision, and/or generative biology models.
3. Contributions to impactful AI research with publications in top conferences/journals.
4. Proficiency in VLMs, SSL, and Reinforcement Learning.

Why apply:

• Lead a dedicated division at the forefront of AI innovation.
• Competitive salary package.
• Flexible PTO.
• Medical, Dental, and Vision Insurance.
• Work with a supportive team committed to Diversity & Inclusion.

San Francisco Bay Area, USA

Interested? Click ‘Easy Apply’ or email your resume to [e-mail].

Storm3 is a HealthTech recruitment firm serving clients across Europe, APAC, and North America. Visit storm3.com or follow our LinkedIn for latest opportunities.