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ML Research Scientist (probabilistic inference)

LawZero
Location
Montreal
Posted
2 months ago
Department
Science
What they actually want (must-haves)
  • Advanced degree in a relevant field (e.g., Computer Science, Mathematics)
  • Minimum of 3 years of experience in deep learning research
  • Expertise in probabilistic inference
  • Proficiency in programming languages such as Python
  • Experience with ML frameworks like PyTorch or TensorFlow
  • Strong background in mathematics
Nice to have
  • PhD in a relevant field
  • Expertise in Bayesian inference
  • Expertise in sampling-based approximate inference methods
  • Expertise in amortized inference methods (including variational inference methods or Generative Flow Networks)
  • Expertise in parameter- and/or structure-learning in probabilistic graphical models (including causal models)
What the job really is

The ML Research Scientist will focus on developing and evaluating probabilistic inference methods, particularly amortized inference, within a novel AI safety research agenda. Daily tasks include collaborating with mathematicians, translating theoretical insights into practical implementations, and analyzing experimental results to guide future research directions. The role requires effective communication of complex findings to various stakeholders and a strong emphasis on teamwork and independent work.

Benefits
  • Opportunity to contribute to a unique mission with a major impact
  • Comprehensive health benefits
  • Minimum of 20 days vacation per year upon start
  • Minimum retirement savings employer contribution of 4%
  • Generous flexible benefits designed to contribute to your well-being
  • Collaborative and inclusive work environment
Things to weigh
  • No salary listed
  • The role requires a strong emphasis on collaboration and independent work, which may not suit everyone
  • The focus on probabilistic inference may limit exposure to other areas of machine learning
Job score2.4/5
Benefits3/5
Freshness1/5
Career value4/5
Role clarity4/5
Pay transparency0/5

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