Waabi

Senior / Staff Software Engineer, ML Datasets & Data Pipelines

Waabi$148K — $260K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • BS or MS in Computer Science, Machine Learning, or related field with 4+ years of experience.
  • Proficiency in Python and experience with deep learning frameworks like PyTorch, TensorFlow, or JAX.
  • Hands-on experience with distributed ETL and data processing pipelines.
  • Direct experience managing ML pipelines, including dataset management and optimization.
  • Strong understanding of cloud job orchestration and monitoring best practices.
  • Collaborative approach with a passion for solving autonomous technology challenges.

Responsibilities

  • Design and implement data pipelines for training and evaluating deep learning models.
  • Optimize data formats and caching for efficient ML training at scale.
  • Improve data sampling and composition for model performance tracking.
  • Write high-quality, well-structured, and rigorously tested code.
  • Drive project roadmap planning, prioritization, and delivery.

Benefits

  • Competitive compensation and equity awards.
  • Health and Wellness benefits including Medical, Dental and Vision coverage.
  • Unlimited Vacation policy.
  • Flexible hours and support for remote work.
  • Daily drinks, snacks, and catered meals in-office.
  • Regular team building activities and social events.
Full Job Description
As a Senior/Staff Software Engineer embedded within our Autonomy & Algorithms team, you will build the scalable ML data pipelines necessary to train and evaluate Waabi's autonomous driving platform. Working closely with world-renowned scientists and engineers, you will solve complex data challenges to accelerate our launch of fully driverless vehicles. 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. Perks/Benefits: - Competitive compensation and equity awards. - Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support. - Daily drinks, snacks and catered meals (when in office). - Regularly scheduled team building activities and social events both on-site, off-site & virtually. - As we grow, this list continues to evolve!

About Waabi

Waabi is an artificial intelligence company that develops self-driving car technology. The company's focus is on developing a system that can safely and efficiently navigate complex urban environments. Waabi's technology is based on deep learning algorithms that allow the system to learn from experience and improve over time. The company was founded in 2021 by a team of experts in the field of autonomous vehicles and is headquartered in San Francisco, California.
Learn more about Waabi
Size
50 employees
Industry
Founded
2021
NASDAQ

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