MLOps Engineer building production ML infrastructure, pipelines, and monitoring for exacare ai’s post - acute care AI platform. Scaling reliable systems that help healthcare teams make safer placement decisions.
About the role
- Staff Engineer in machine learning at Torc Robotics developing next-gen perception models. Leading architectural innovations and large-scale model training for autonomous vehicle technology.
Responsibilities
- Lead the development of the BEV model: define and execute the technical roadmap for BEV-based perception models across multiple tasks (e.g., detection, segmentation, road topology, and scene understanding).
- Design advanced multimodal architectures that fuse heterogeneous sensor data (camera, LiDAR, radar, HD maps) into unified spatial representations.
- Develop foundational perception models leveraging BEV transformers, voxel-based encoders, or implicit scene representations.
- Own large-scale training workflows, from data sampling strategies and augmentation pipelines to distributed training and hyperparameter optimization.
- Improve model robustness and generalization, accounting for long-tail conditions such as low visibility, occlusions, and rare scene configurations.
- Establish evaluation frameworks for geometric accuracy, temporal stability, and cross-domain transfer performance.
- Collaborate cross-functionally with sensor calibration, mapping, and fusion teams to ensure cohesive perception model interfaces.
- Mentor and guide machine learning engineers, cultivating best practices in experimentation, code quality, and model validation.
- Remain at the forefront of machine learning research, exploring self-supervised learning, large-scale pretraining, and foundation models for 3D perception.
Requirements
- Master’s degree or PhD in Computer Science, Electrical Engineering, Robotics, or a related field (or equivalent practical experience).
- 10+ years of experience in deep learning for perception, 3D vision, or autonomous systems.
- Proven expertise in BEV modeling, 3D scene understanding, and multi-view fusion.
- Strong experience in multimodal sensor fusion, particularly integrating camera and LiDAR data.
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Experience with large-scale data pipelines, distributed training, and experiment/experiment-management systems.
- Demonstrated leadership in driving ML model innovation and mentoring technical teams.
Benefits
- Competitive compensation program including bonus components 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 region only)
- Flexible work hours and generous paid time off
- 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.
Senior Data Engineer building cloud - native data and ML platforms for Hive.co’s event - marketing automation products. Owning pipelines, model infrastructure, and audience - data systems at scale.
Senior Machine Learning Engineer building causal and decision systems for CSC Generation’s AI - native omnichannel retail brands. Deploying machine learning that improves pricing and other commercial decisions.
Director leading agentic AI and machine learning products for Instacart’s grocery technology platform. Building retailer solutions and guiding teams from strategy through production deployment.
New - grad software engineer building Quora’s distributed ML platform, model serving, and developer tooling. Supporting Quora’s global knowledge - sharing product with scalable GPU infrastructure.
Applied Machine Learning Scientist developing Generative AI and predictive ML solutions for TD banking. Evaluating models, managing AI lifecycles, and supporting responsible implementation.
Applied Machine Learning Scientist developing Generative AI and predictive ML solutions at TD, a major North American bank. Supporting model evaluation, deployment, monitoring, and responsible AI governance.
Senior Machine Learning Engineer building conversational AI agents and production ML systems. Helping Numa automate automotive dealership service and sales through evaluation - first tooling and infrastructure.
Senior ML Engineer building production ML, RAG, and agentic AI capabilities for SailPoint’s cloud identity security platform. Driving scalable, customer - focused AI solutions from research to production.
Senior ML Engineer developing debiased pCTR and conversion models for Instacart’s grocery advertising ecosystem. Advancing ranking, retrieval, and sequence modeling across ads surfaces.