Waabi
Full TimeDesign and build scalable ML data pipelines for autonomous driving using real-world and simulated data to train deep learning models. Requires a BS/MS in Computer Science or related field plus four years of industry experience, with proficiency in Python, PyTorch or TensorFlow, and hands-on work building distributed ETL pipelines and managing ML workflows. Optimize data formats, sampling, and dataloading for efficient training at scale while mentoring teammates. Salary $148,000–$260,000 USD annually, plus equity and bonus.
Written from this posting by Neural Jobs AI. The full description is below.
You Will..
- Design and implement data pipelines using real-world driving data and Waabi World (our high-fidelity simulator) to train and evaluate deep learning models.
- Optimize data formats, caching, and dataloading to drive highly efficient ML training and evaluation at scale.
- Improve data sampling and composition for deep data introspection to track model performance and uncover critical edge-case scenarios.
- Champion engineering excellence by writing high-quality, well-structured, and rigorously tested code.
- Help drive project roadmap planning, prioritization, and delivery.
Qualifications:
- BS or MS in Computer Science, Machine Learning, or a related technical field, with 4+ years of industry experience.
- Proficiency in Python and strong software engineering fundamentals, including 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, dataloading, and optimization.
- Strong understanding of cloud job orchestration, monitoring, and instrumentation best practices.
- A collaborative, open-minded approach with a passion for tackling hard problems in autonomous technology and a strong willingness to mentor others.
Bonus Points:
- Experience with optimizing large scale distributed training pipelines and/or highly optimized ML inference pipelines.
- Experience with MapReduce (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow, Apache Beam, Google Cloud Dataflow, AWS Step Functions).
- Experience solving data challenges specific to autonomous driving.
- Familiarity with linear algebra (projections, transforms) and 3D geometry.
- Experience working with multimodal sensor data (e.g., LiDAR, RADAR, camera).
The US yearly salary range for this role is: $148,000 - $260,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
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Waabi develops autonomous driving for trucking, using an end-to-end learned system trained largely in a high-fidelity closed-loop simulator rather than on road miles alone.
Founded in Toronto in 2021 by Raquel Urtasun, formerly of Uber ATG.
Canada Hybrid
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