Fellowship supporting mid - career scholars whose work advances Canada’s engagement with the Indo - Pacific. Proposing research in areas like Economic Security, Technology, and Indo - Pacific Geopolitics.
About the role
- Principal Applied Scientist at Lime, leading computer vision and ML systems development. Driving strategic technical direction and overseeing end-to-end solution lifecycles.
Responsibilities
- Define and execute the long-term technical vision for applied computer vision systems
- Architect and own real-time perception and scene-understanding solutions designed to operate reliably in complex environments
- Lead efforts to combine computer vision with additional sensor inputs to improve system robustness and accuracy
- Collaborate with hardware and firmware teams to optimize vision algorithms for resource-constrained edge devices
- Oversee the full lifecycle of machine learning solutions—from data strategy to model development and deployment
- Act as a senior technical authority for computer vision and applied ML; mentor scientists and engineers
- Partner with Product, Engineering, and other stakeholders to translate high-level requirements into scalable solutions
- Stay current with advances in AI and computer vision research for practical applications
Requirements
- 8+ years of industry experience in Computer Vision and Machine Learning
- Extensive experience optimizing and deploying CV/ML models on embedded or edge hardware platforms
- Deep understanding of integrating with additional sensor modalities to solve complex perception or state-estimation problems
- Demonstrated experience leading technical strategy and influencing architecture across teams
- Proven ability to build robust systems that perform reliably under noisy, variable, and imperfect real-world conditions
- Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or a related field with a focus on Computer Vision or Machine Learning
Benefits
- Annual performance bonus
- Equity and benefits may be provided as part of the compensation package
Job title
Job type
Experience level
Salary
Degree requirement
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
AU
Leading research in post - training alignment and reinforcement learning at Autodesk AI Lab. Managing a team of AI scientists to develop reliable foundation models for various industries.
Applied Data Scientist role focusing on developing frameworks for evaluating autonomous technologies. Join Waabi's innovative team advancing autonomous transportation solutions based on Physical AI.
Applied Data Scientist working on multi - faceted evaluation methodology for autonomous driving technology at Waabi. Collaborating cross - functionally to deliver actionable insights on system performance.
Senior Research Scientist specializing in evidence synthesis for health technology assessments, collaborating remotely across sophisticated projects.
Senior Applied Scientist at MaintainX enhancing scheduling systems through Python optimization and collaboration with product design teams. Focused on real - world applications of AI - driven scheduling.
VL
Research Scientist developing machine learning models to predict cellular responses for drug discovery. Joining a multidisciplinary team at Valence Labs in Montreal, Quebec.
Research Assistant supporting new content development at the Toronto Holocaust Museum. Conducting research on antisemitism and surveying responses from other museums.
Research Scientist at Valence Labs developing ML models for predicting cellular responses in drug discovery. Building generative models based on massive multiomics datasets with collaborative research.
Research Scientist developing neural reconstruction algorithms at Waabi, leading innovations in autonomous transportation technology. Seeking innovative candidates to join a rapidly expanding team.