Our Client is looking to hire a remote AI Research Scientist to drive novel machine learning research directions that shape the company's research agenda.

What You'll Do

As a Research Scientist, you will originate and drive the novel machine learning research directions that shape our client's research agenda. Because of their huge userbase, they have a unique visibility into how people are using their platform in the real world, including in what circumstances existing methods are unable to solve user problems.

Their Research team’s mission is to introduce novel methods that generalize as well as possible across our userbase. This includes methods that learn well on diverse data, run efficiently on different hardware targets, and solve unique categories of problems. You will identify the most promising open problems in AI/ML and CV, develop original theoretical approaches and algorithms to address them, and publish your work at top conferences. You'll partner closely with our engineering team, who will take your research and translate it into production systems running at scale.

Who You Are

You are a pragmatic, experienced machine learning researcher who wants to be an important part of an exceptional team that focuses on using client's proprietary tools to impact and improve every industry. You have high agency and a bias toward action. Masters / PhD in AI, machine learning, computer vision, robotics, or similar technical field of study, or equivalent industry experience History of publication at conferences / journals (CVPR, NeurIPS, ICLR, etc.) Deep understanding of ML theory and a track record of turning open problems into novel, well-formed research directions Values scientific rigour and reproducibility Passionate about computer vision and solving problems users value Pragmatic approach to utility in practice (not just in theory) Cares about open source and the broader research/developer ecosystem Writes and communicates clearly — able to explain your work to the scientific community, the developer community, and non-research stakeholders Preferred but not required: Familiarity with the practical constraints of optimizing models for edge hardware and training models on distributed infrastructure Experience collaborating with engineering teams to move research from prototype to production

What You'll Receive

To determine your salary, we use a number of market and data-driven salary sources. We review all salaries every six months to ensure we stay in line with the market.

💰 The target compensation for this role is $168,000 - $255,000 USD base or roughly 235,000 to 350,000 CAD. Range is based on location and level. In addition to cash compensation, they offer generous equity, perks, and benefits.