Senior / Staff Software Engineer, ML Datasets & Data Pipelines
Waabi · Toronto, ON
Roboticshybridsenior
At a glance
Highlights
- Build scalable ML data pipelines to train Waabi’s autonomous driving platform.
- Use real-world driving data and Waabi World simulator to evaluate models.
- Uncover critical edge-case scenarios to accelerate fully driverless launch.
Ideal candidate
A collaborative and curious engineer passionate about autonomous technology who thrives on hard data challenges and mentoring others to accelerate driverless vehicles.
Requirements
- BS or MS in Computer Science, Machine Learning, or related field with 4+ years industry experience
- Proficiency in Python with strong software engineering fundamentals
- Experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX
- Hands-on experience building distributed ETL and data processing pipelines
- Direct experience managing ML pipelines including dataset management and dataloading optimization
- Strong understanding of cloud job orchestration, monitoring, and instrumentation best practices
- Collaborative mindset with passion for autonomous technology and willingness to mentor others
Lab profile
About Waabi
Leader in Physical AI powering commercial autonomous trucks and robotaxis.
What they build
- Commercial autonomous trucks
- Robotaxis
Known for
- Physical AI leadership
- World-class team
- Founded by AI visionary Raquel Urtasun
- Partnerships across AI, automotive, logistics and deep tech
Key facts
- Offices in Toronto, San Francisco, Dallas, and Pittsburgh
- Backed by leaders in AI, automotive, logistics, and deep tech
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