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Research scientist • toronto on
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Research Scientist
adaptionToronto, ON, CA- Promoted
Senior Research Scientist Construction
AutodeskToronto, CanadaCanada Impact+ Research Chair Senior Scientist
Holland Bloorview Kids Rehabilitation HospitalToronto, Ontario, Canada- New!
Research Scientist
WaabiToronto, ON, CA- Promoted
- New!
Research Machine Learning Scientist
TD SecuritiesToronto, Canada- New!
Research Machine Learning Scientist II
TD BankToronto, ON, CA- New!
Research Scientist / Electrochemist
Toronto Film SchoolToronto, ON, CA- New!
Research Scientist, LLM Agents (Foundational Research)
RefinitivToronto, ON, CA- New!
Research Machine Learning Scientist
TDToronto, ON, CA- Promoted
Research Engineer / Research Scientist (Pre-training)
IdeogramToronto, Canada- New!
AI / ML NLP Research Scientist
ShipraToronto, ON, CA- Promoted
AI Training - Research Scientist (CAN)
ProlificToronto, Canada- Promoted
Senior Research Scientist, Model Evaluation
CohereToronto, Canada- Promoted
GenAI Applied Research Scientist - Azure Cloud
Evolver Transformation, Inc.Toronto, Canada- Promoted
Immunology Scientist (VIE) – Global Vaccine Research
SanofiToronto, CanadaResearch Machine Learning Scientist
The Toronto-Dominion Bank (Canada)Toronto, Ontario- Promoted
Research Scientist, LLM Agents (Foundational Research)
Thomson ReutersToronto, Canada- New!
Principal Research Scientist Construction
Autodesk, Inc.Toronto, ON, CA- Promoted
Senior Research Scientist, Machine Learning
Menlo VenturesToronto, Canada- Thunder Bay, ON (from $ 114,129 to $ 218,750 year)
- London, ON (from $ 91,902 to $ 182,290 year)
- Markham, ON (from $ 105,000 to $ 182,287 year)
- Toronto, ON (from $ 97,355 to $ 180,996 year)
- Old toronto, ON (from $ 97,500 to $ 180,919 year)
- Montreal, QC (from $ 113,681 to $ 179,000 year)
- Quebec City, QC (from $ 94,103 to $ 176,077 year)
- Edmonton, AB (from $ 69,030 to $ 175,814 year)
- St. John's, NL (from $ 88,701 to $ 175,814 year)
- Burlington, ON (from $ 81,996 to $ 155,950 year)
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Research Scientist
adaptionToronto, ON, CA- Full-time
Overview
Most AI is frozen in place - it doesn't adapt to the world. We think that's backwards. Our mandate is to build efficient intelligence that evolves in real-time. Our vision is AI systems that are flexible, personalized, and accessible to everyone. We believe efficiency is what makes this possible - it's how we expand access and ensure innovation benefits the many, not the few. We believe in talent density : bringing together the best and most driven individuals to push the boundaries of continual adaptation. We're looking for builders and creative thinkers ready to shape the next era of intelligence.
Our research principles guide how we work and what we value in our approach to building intelligent systems.
Our research principles
- Sweat the details. Technical excellence requires obsessing over every detail. We co-design serving, algorithms, and interface as one system to maximize efficiency and enable real-time adaptation.
- Move with conviction. Extraordinary results require extraordinary effort. We operate with urgency as a unified team, concentrating resources on a few high-conviction bets where research and impact intersect.
- Metrics that matter. The most intelligent system will increasingly be defined by building an algorithm that can interact with the world. Research ideas are tested through working products. If it doesn't improve what users can do, we question whether it matters. We share what moves the field; we don't optimize for paper count.
The role
This is a research role which is focused on real world impact. We care about building our frontier innovation around efficiency, gradient free exploration, real time learning and interface design. A revolution is underway where the cost of generating synthetic data is now low enough that we can treat the data space as malleable and something which can be optimized. We can steer synthetic data towards desirable properties and make previously invisible worlds with limited data coverage more visible. The most intelligent system will increasingly be defined by building an algorithm that can interact with the world. This means for the first time researchers who care about intelligence need also be obsessed with how a model interacts. If any of these statements resonate with you, we would like to hear from you.
Responsibilities
Qualifications
Above all, we're looking for great teammates who make work feel lighter and aren't afraid to go out on a limb with bold ideas. You don't need to be perfect, but you do need to be adaptable. We encourage you to apply, even if you don't check every box.
Benefits
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