LawZero

ML Research Scientist (probabilistic inference)

LawZero · Montreal

Posted about 3 months ago

or apply directly on LawZero's site. We never take the application ourselves.

Is this posting real?

This role has been open
81 days
LawZero's roles stay open a median of 81 days
Reposted
No
Salary listed
No
0% of LawZero's roles list one
Ghost-job risk at LawZero
high
15 stale, 0 reposted of 16 open
Hiring momentum
17 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from LawZero's own greenhouse board since 2026-08-03. Full hiring picture for LawZero.

About this role

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.

Our read on this posting2.4out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of LawZero as an employer.

What you need

  • 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 you get

  • 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

Worth weighing

  • 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

Summarised from LawZero's posting. Read the full original.

Listed by LawZero on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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