Machine Learning Scientist / Senior Machine Learning Scientist, Virtual Cell

Altos Labs

San Francisco Bay Area, CA, US
Redwood city, ca: scientist i: $211,200 - $257,500...
On-site
Foundation and focused models
Multimodal biological data
Generative models
Altos Labs is seeking a Machine Learning Scientist/Senior Machine Learning Scientist to join their Virtual Cell team in the San Francisco Bay Area or San Diego. The ideal candidate will contribute to developing advanced machine learning models for multi-modal biology, focusing on cell health and rejuvenation

Job Summary

  • This role will help accelerate and optimize progress in developing multi-modal generative foundation models for multiscale biology.
  • Responsibilities include designing, developing, and evaluating state-of-the-art foundation and focused models, pre-training and fine-tuning large-scale machine learning systems using multimodal biological data, and pioneering novel machine learning methodologies.
  • The company values teamwork, transparency, scientific excellence, originality, and integrity, fostering a diverse and inclusive environment.

Matching Summary

Match Score: 85

Altos Labs is seeking a Machine Learning Scientist/Senior Machine Learning Scientist to join their Virtual Cell team in the San Francisco Bay Area or San Diego. The ideal candidate will contribute to developing advanced machine learning models for multi-modal biology, focusing on cell health and rejuvenation.

Salary

Redwood City, CA: Scientist I: $211,200 - $257,500; Scientist II: $237,800 - $290,000; Senior Scientist I: $270,600 - $330,000; San Diego, CA: Scientist I: $188,600 - $230,000; Scientist II: $223,900 - $273,000; Senior Scientist I: $251,700 - $307,000

Skills & Requirements

Must-have

  • foundation and focused models
  • multimodal biological data
  • generative models
  • diffusion/flow matching models
  • transformer architectures
  • PyTorch, JAX
  • multi-GPU and distributed training

Nice-to-have

  • cell health and rejuvenation research
  • computational approaches to drug discovery
  • published peer reviewed innovative AI/ML research
  • software development methodologies

Key Requirements

  • Ph.D. in Machine Learning, Computer Science, AI, Statistics
  • Relevant academic or industry work experience
  • Experience developing novel generative AI models
  • Deep understanding of Machine Learning Principles
  • Experience developing and applying complex ML models
  • Strong Python and deep learning library programming skills
  • Experience writing production-quality code
  • Experience with multi-GPU and distributed training

Work Rights

Not specified

Tailored Resume

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