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World Labs Jobs in Quebec (NOW HIRING)

At Paytm Labs, we build technologies that powers Paytm India, the world's' fastest growing mobile payments and commerce ecosystem. In addition to, the Paytm Canada app. We use our skills and our ...

... world of trust. Join our talented community of scientists and experts and apply today at Bureau Veritas Labs is an equal opportunity employer. We are committed to an inclusive, barrier-free ...

... world of trust. Join our talented community of scientists and experts and apply today at Bureau Veritas Labs is an equal opportunity employer. We are committed to an inclusive, barrier-free ...

... world of trust. Join our talented community of scientists and experts and apply today at Bureau Veritas Labs is an equal opportunity employer. We are committed to an inclusive, barrier-free ...

... world of trust. Join our talented community of scientists and experts and apply today at Bureau Veritas Labs is an equal opportunity employer. We are committed to an inclusive, barrier-free ...

For more than 30 years, Innergex has believed in a world where abundant renewable energy promotes ... Canary Labs Historian is an asset * Experience with power systems modelling with specialized ...

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World Labs information

What is the difference between World Labs vs Data Analyst?

AspectWorld LabsData Analyst
Required CredentialsTypically requires a background in science, engineering, or related fields; certifications varyBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis tools
Work EnvironmentResearch labs, technology companies, or biotech firmsOffice settings, data centers, or remote work environments
Industry UsageUsed in scientific research, biotech, and tech industriesCommon across finance, marketing, healthcare, and tech sectors

World Labs professionals focus on scientific research and experimentation, often requiring technical and scientific credentials. Data Analysts interpret data to inform business decisions, typically needing analytical skills and certifications in data tools. While both roles involve data handling, World Labs is more research-oriented, whereas Data Analysts focus on data-driven insights for organizations.

What job categories do people searching World Labs jobs in Quebec look for? The top searched job categories for World Labs jobs in Quebec are:
Infographic showing various World Labs job openings in Quebec as of July 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 88% Full Time, 9% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Machine Learning Research Scientist

Valence Labs

Montreal, QC โ€ข Hybrid

Other

Re-posted 3 days ago


Job description

About Valence Labs

Valence Labs is Recursion's frontier AI research engine. We lead high-impact research
programs designed to materially expand Recursion's ability to discover and develop medicines for complex diseases. Our team balances near-term pragmatism with a long-term view of where the field is heading in the next 3-5 years, incubating, designing, and productizing the approaches we believe will define the future of drug discovery.ย 

Our work is driven by optimism, purpose, and a shared vision for a healthier tomorrow. We publish in top journals and conferences, contribute to open science, and engage with some of the world's most active ML-for-drug-discovery research communities. Our teams are based in London and Montreal, with deep ties to Mila, the world's largest deep-learning research institute.

About the role

We are seeking a Research Scientist with a hybrid research-engineering mindset to join ourย team. In this role, you will be at the forefront of developing generative architectures andย foundation models that ground machine learning in real-world biological discovery.ย 

A successful candidate will have most of the following:

  • PhD (or equivalent) with significant academic or industry research experience in a related technical field involving machine learning applied to drug discovery.
  • Scientific knowledge of biology, chemistry, or physics, along with previous experience working in a scientific environment across disciplines.
  • Impactful research track record, including designing new neural networks to modelย molecular or biological systems, proposing new theories, or applying novel MLย techniques to real-world problems.
  • Strong technical and engineering skills, including the ability to rapidly prototype MLย models (Python proficiency required; Rust preferred for high performance molecularย encoding or data pipelines).
  • Leadership and communication skills, including a lead authorship record in peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR) or journals (e.g., Nature, Science, JACS).
  • Interdisciplinary empathy, with a proven ability to work effectively with interdisciplinaryย teams of dry and wet scientists.

Key Responsibilitiesย 

  • Model Innovation: Research and develop state-of-the-art architectures (e.g., flowย matching, diffusion models, geometric deep learning) tailored to specific biological orย chemical challenges.
  • Scalable Engineering: Build and maintain ML systems capable of processing massive datasets on high-performance compute clusters (BioHive).
  • Biological Grounding: Ensure ML predictions are biologically trustworthy andย actionable by collaborating closely with drug discovery teams.
  • Open Science & Collaboration: Publish findings in top-tier venues and contribute to the broader scientific community.ย 

Working Location & Compensation:

This is an office-based, hybrid position at either of our offices located in Montreal, Quebec, Canada.ย Employees are expected to work in the office at least 50% of the time.

Compensation packages are competitive and commensurate with the skills and level of experience required for this role. In addition to base salary you will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.ย 

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