Machine Learning Evaluation Specialist designing tasks for unsolved ML problems using deep domain expertise. Opportunity for graduates to contribute to challenging AI research tasks on a fully remote basis.
TR
Principal Engineer – Machine Learning, AV Operations Frameworks
Posted 2 days ago
About the role
- Lead Machine Learning Engineer at Torc Robotics improving frameworks for autonomous vehicles. Join a team that develops advanced solutions in the autonomous vehicle space.
Responsibilities
- Contribute to the design, maintenance, and improvement of Torc's autonomous vehicle (AV) frameworks
- Serve as a key technical lead for requirements and drive adoption of the AV Development Kit 3.0 with internal stakeholders
- Promote development velocity through implementation, code review, and iterative improvement; be one of the team’s primary contributors to technical progress
- Act as a trusted technical voice to facilitate collaboration between the Data Loop and Simulation teams within Torc’s AI division
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related field with a minimum of 6 years of professional experience
- Master’s degree in Computer Science, Software Engineering, or a related field with a minimum of 3 years of professional experience
- Experience with large-scale distributed training, particularly using Ray
- Strong familiarity with the open-source ecosystem and demonstrated contributions to open-source projects
- Experience building ML/AI solutions that have reached production
- Comfortable with data science and the ML lifecycle/iteration
- Familiarity with compute and data platforms
- Experience in the autonomous vehicle industry (Level 4) or another related field
Benefits
- Competitive compensation package including bonuses and stock option grants
- Medical, dental, and vision coverage for full-time employees
- Retirement savings plan (RRSP) with a 4% employer contribution
- Public transit subsidy (Montreal area only)
- Flexible work hours and generous paid vacation
- Company-wide office closures during major holidays
- Life insurance
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Machine Learning Specialist developing and deploying innovative ML/DL solutions to monitor space environment at NorthStar Earth & Space. Collaborating with a multidisciplinary team to address space traffic management challenges.
LP
Material handler or machine operator
LinkedIn Recruiter Post
Direct hire permanent role for Material Handler or Machine Operator in Brantford, ON. Pay rate $25 - $30/hour with night premium and overtime on 12 - hour continental shifts.
Machine Learning Engineer developing AI Agents utilizing LLMs for contact centers. Collaborating with engineering teams to integrate cutting - edge AI solutions in production environments.
Senior Machine Learning Engineer developing next - gen AI systems at Cresta. Leading high - impact AI initiatives and collaborating with cross - functional teams in a remote setting.
Senior Machine Learning Engineer focused on model optimization algorithms at Red Hat. Contributing to deep learning software and collaborating with product and research teams in open - source context.
Machine Learning Engineer designing and deploying ML pipelines at a fintech platform in Canada. Collaborating with engineers to optimize models and performance while implementing MLOps best practices.
Senior ML Engineer developing and improving ML Ops frameworks for autonomous vehicle solutions at Torc Robotics. Collaborating with developers to drive future innovations in autonomous freight on a global scale.
ML Engineer role at Eqvilent constructing systems for data validation and ML models. Involves data pipelines, exploratory analysis, and machine learning model evaluations.
MLOps Engineer improving training pipelines and model performance for Eqvilent. Responsible for implementing CI/CD and monitoring systems in a remote work environment.