L
LawzeroScience

Mathematical Scientist for AI Safety Research

Montrealonsitemid

via Greenhouse

About this role

Frontier AI companies are throwing billions of dollars into scaling existing architectures and methods such as next-token-prediction, direct preference optimization (DPO), reinforcement learning with human feedback (RLHF), and reinforcement learning with verified rewards (RLVR). These methods are very powerful, yet fundamentally flawed, resulting in misalignment, sycophancy, systematic biases, and other forms of harmful behavior that are already having severely negative consequences in our society. LawZero is a non-profit founded by Yoshua Bengio developing a fundamentally new approach, the Scientist AI.…

Read the full description on Lawzero's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: go, teams

2

Level fit

This role is mid-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Montreal. We weight your proximity and willingness to relocate.

Score yourself on this role.
Free · no card · written explanation included
See if I'm a fit →

Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

goteams

More at Lawzero

See all open jobs at Lawzero