Lead Machine Learning Engineer

Serve Robotics is hiring a Lead Machine Learning Engineer in Canada to spearhead AI development for its autonomous sidewalk delivery robots. Join a fast‑growing team shaping the future of urban logistics across major U.S. cities.

Key Responsibilities

• Design, develop, and deploy scalable machine‑learning pipelines for perception, navigation, and decision‑making systems.
• Lead a multidisciplinary engineering team, mentoring junior ML engineers and coordinating with hardware, software, and product groups.
• Define data collection strategies, annotation processes, and quality‑control standards for real‑world robot fleets.
• Optimize models for edge deployment, ensuring low latency, high reliability, and compliance with safety regulations.
• Collaborate with research partners and stay current with state‑of‑the‑art algorithms in computer vision, reinforcement learning, and sensor fusion.

Required Qualifications

• PhD or Master’s in Computer Science, Electrical Engineering, Robotics, or a related field with a focus on machine learning.
• 5+ years of professional experience building production ML systems, preferably for robotics or autonomous vehicles.
• Strong proficiency in Python, TensorFlow/PyTorch, and C++/ROS for integration with robot platforms.
• Demonstrated experience with real‑time perception pipelines, sensor data processing, and model compression techniques.
• Proven leadership skills: ability to lead technical discussions, set roadmaps, and deliver results in an agile environment.

Preferred Skills

• Experience with lidar, radar, and camera sensor suites.
• Background in reinforcement learning or imitation learning for control tasks.
• Familiarity with cloud‑based MLOps tools (Kubeflow, MLflow, CI/CD pipelines).
• Publication record in top AI/robotics conferences.

What We Offer

• Competitive salary: $225,000 – $260,000 CAD per year.
• Equity participation and performance bonuses.
• Flexible remote‑first work model with occasional on‑site collaboration at our Canadian office.
• Health, dental, and vision benefits, plus generous PTO.
• Opportunity to impact the future of city logistics and work with cutting‑edge autonomous technology.

Frequently Asked Questions

What type of robots will I work on as a Lead Machine Learning Engineer?

You will develop perception and navigation AI for Serve Robotics’ sidewalk delivery robots that operate in dense urban environments.

Is remote work possible for this position?

Yes, the role follows a flexible remote‑first model, with occasional on‑site meetings at the Canadian office.

What experience is required with sensor data?

Candidates should have hands‑on experience processing lidar, radar, and camera data and building real‑time perception pipelines.