Jobgether
Senior, ML Engineer - Offline Perception
TLDR
Lead offline perception modeling for autonomous driving, designing scalable multi-modal ML pipelines and guiding architecture and mentorship in a cutting-edge AI/robotics environment.
Accountabilities:
- Design, implement, and deploy offline perception models for object detection, tracking, and sensor fusion using multi-modal data (camera, lidar, radar).
- Build and improve automated labeling and pseudo-labeling systems that generate high-quality annotations for downstream ML and simulation use cases.
- Develop scalable data pipelines for ingestion, processing, curation, and governance of large autonomous driving datasets.
- Evaluate and optimize model performance and annotation quality to ensure alignment with internal standards and production requirements.
- Collaborate with ML, infrastructure, and simulation teams to integrate perception outputs into broader autonomous driving workflows.
- Define best practices for model development, MLOps, evaluation, and deployment in large-scale machine learning systems.
- Provide technical leadership, mentorship, and guidance to engineers while driving architectural decisions and alignment across teams.
- Research and apply state-of-the-art techniques in computer vision, deep learning, and autonomous driving perception systems.
- Bachelor’s, Master’s, or PhD in Computer Science, Robotics, Electrical Engineering, or a related technical field.
- 6+ years of experience in machine learning, computer vision, or perception systems (or equivalent advanced academic + industry experience).
- Strong expertise in deep learning frameworks such as PyTorch, Lightning, or Ray.
- Experience with at least two of the following domains: 2D/3D object detection, tracking, sensor fusion, semantic segmentation, SLAM, or BEV modeling.
- Strong proficiency in Python and experience building scalable ML systems and data pipelines.
- Hands-on experience with MLOps tools (e.g., MLflow, Weights & Biases, model evaluation frameworks).
- Experience working with large-scale datasets and data formats such as Parquet, MCAP, or similar.
- Familiarity with distributed computing, cloud environments, Docker, and CI/CD pipelines.
- Strong analytical thinking, problem-solving skills, and ability to work independently with high technical ownership.
- English proficiency required for collaboration with distributed engineering teams and technical documentation.
- Leadership experience in mentoring engineers and driving technical alignment is highly desirable.
- Competitive compensation package ranging from $199,200 to $298,800 CAD, plus bonus and stock options.
- Comprehensive health coverage including medical, dental, and vision insurance.
- RRSP retirement plan with employer matching contributions.
- Flexible work arrangements with generous paid time off and company-wide holiday closures.
- Equity participation and long-term incentive opportunities.
- Access to cutting-edge autonomous driving, AI, and robotics technology.
- Strong culture of innovation, collaboration, and continuous learning.
- Additional perks including life insurance and potential relocation or sign-on support depending on role.
Requirements:
Benefits:
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Benefits
Equity Compensation
Equity participation and long-term incentive opportunities.
Health Insurance
Comprehensive health coverage including medical, dental, and vision insurance.
additional perks (life insurance, relocation, sign-on support)
Additional perks including life insurance and potential relocation or sign-on support depending on role.
Paid Time Off
Flexible work arrangements with generous paid time off and company-wide holiday closures.
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services
ML Engineer