Senior / Principal Machine Learning Scientist

Altoslabs

San Francisco Bay Area, CA, US
Senior scientist i, machine learning: $239,500 - $...
On-site
Develop generative ai/ml models
Pioneer novel machine learning methodologies
Design, implement, and optimize ml systems
Altos Labs is seeking a Senior or Principal Machine Learning Scientist to develop advanced AI/ML models aimed at rejuvenating cell health and addressing age-related diseases. The ideal candidate will possess extensive experience in machine learning and a passion for collaborative work in a fast-paced environment focused on scientific excellence

Job Summary

  • As a Senior or Principal Machine Learning Scientist, you will play a prominent role in developing generative AI/ML models for multi-modal, multiscale biology from virtual cells to agentic target assessment.
  • Pioneer novel machine learning methodologies and statistical frameworks (e.g., generative models, causal inference, diffusion models, and advanced transformer architectures) to address fundamental challenges in cell health and rejuvenation.
  • Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation.

Matching Summary

Match Score: 85

Altos Labs is seeking a Senior or Principal Machine Learning Scientist to develop advanced AI/ML models aimed at rejuvenating cell health and addressing age-related diseases. The ideal candidate will possess extensive experience in machine learning and a passion for collaborative work in a fast-paced environment focused on scientific excellence.

Salary

Senior Scientist I, Machine Learning: $239,500 - $330,000; Senior Scientist II, Machine Learning: $262,100 - $373,000; Principal Scientist, Machine Learning: $312,100 - $424,100

Skills & Requirements

Must-have

  • Develop generative AI/ML models
  • Pioneer novel machine learning methodologies
  • Design, implement, and optimize ML systems
  • Develop distributed training strategies
  • Develop robust multi-modal data integration
  • Lead ML development lifecycle
  • Expertise in generative models or diffusion models

Nice-to-have

  • Collaborative and fast-paced environment
  • Inspiring mission of cell health
  • Thrive in a multidisciplinary team
  • Constant skill and knowledge expansion
  • Keen to learn more about biology

Key Requirements

  • Ph.D. in quantitative field
  • 6+ years post-PhD experience
  • Proven experience developing complex ML models
  • Track record of leading and publishing research
  • Excellent scientific communication skills
  • Experience applying ML to biological data

Work Rights

Not specified

Tailored Resume

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