Machine Learning Scientist / Senior Machine Learning Scientist, Virtual Cell

Altoslabs

San Francisco Bay Area, CA, US
Redwood city, ca: scientist i, machine learning: $...
On-site
Designing, developing and evaluating foundation models
Pre-train and fine-tune large-scale ml systems
Pioneer novel ml methodologies
Altos Labs is seeking a Machine Learning Scientist/Senior Machine Learning Scientist to join their Virtual Cell team, focusing on developing innovative machine learning models for biological research aimed at improving cell health and rejuvenation. The ideal candidate should possess a Ph.D. in a quantitative field, experience in generative AI models, and proficiency in machine learning frameworks

Job Summary

  • This is an opportunity to join the state-of-the-art Virtual Cell team that recently won the Generalist prize in the ARC Virtual Cell Challenge.
  • In this role, you will be an integral part of our multidisciplinary teams enabling Altos to achieve its mission.
  • The successful candidate will thrive in a fast-paced environment that emphasises teamwork, transparency, scientific excellence, originality, and integrity.

Matching Summary

Match Score: 85

Altos Labs is seeking a Machine Learning Scientist/Senior Machine Learning Scientist to join their Virtual Cell team, focusing on developing innovative machine learning models for biological research aimed at improving cell health and rejuvenation. The ideal candidate should possess a Ph.D. in a quantitative field, experience in generative AI models, and proficiency in machine learning frameworks.

Salary

Redwood City, CA: Scientist I, Machine Learning: $200,900 - $257,500; Scientist II, Machine Learning: $226,200 - $290,000; Senior Scientist I, Machine Learning: $257,400 - $330,000; San Diego, CA: Scientist I, Machine Learning: $179,400 - $230,000; Scientist II, Machine Learning: $212,900 - $273,000; Senior Scientist I, Machine Learning: $239,500 - $307,000

Skills & Requirements

Must-have

  • designing, developing and evaluating foundation models
  • pre-train and fine-tune large-scale ML systems
  • pioneer novel ML methodologies
  • implement and optimize large-scale ML systems
  • develop and manage efficient distributed training strategies
  • develop robust approaches for multi-modal data integration

Nice-to-have

  • inspired by the mission of restoring cell health
  • highly collaborative in mindset
  • self-motivated to drive and deliver
  • focused on professional growth
  • stay up-to-date on latest deep learning developments

Key Requirements

  • Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or related quantitative field
  • Relevant work experience in academic or industry setting
  • Prior experience in developing and implementing novel generative AI models
  • Deep understanding and expertise of Machine Learning Principles
  • Proven experience developing and applying complex machine learning models
  • Very strong programming skills, including Python and deep learning libraries
  • Experience writing production-quality code with modern ML frameworks
  • Experience with multi-GPU and distributed training at scale

Work Rights

Not specified

Tailored Resume

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