Principal Scientist leading research and development for Kraft Peanut Butter in Canada. Collaborating with teams to drive product development and ensure quality standards.
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
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