Waabi · 2 weeks ago
Research Engineer, Online Mapping
San Francisco County, CA
Full-time
Hybrid
Entry, Mid Level
$155K/yr - $213K/yr
2+ years expWaabi is an AI company building the next generation of self-driving technology, founded by AI pioneer Raquel Urtasun. The Research Engineer in Online Mapping will collaborate with cross-functional teams to generate datasets and develop algorithms that ensure safe navigation for autonomous vehicles.
Artificial Intelligence (AI)AutomotiveAutonomous VehiclesMachine Learning
Responsibilities
Collaborate with cross functional teams - including Maps, Data, and Simulation - to curate and generate high-quality datasets essential for training and evaluating our online mapping system
Work closely with the Perception and Motion Forecasting teams to design, evaluate, and iterate on robust online mapping algorithms that dynamically adapt to real-world changes—such as road closures, construction, or shifting traffic patterns—ensuring accurate and safe navigation for our autonomous vehicles
Partner with platform teams to ensure seamless integration, deployment and continuous operation of the online mapping system within our self-driving vehicles
Champion engineering excellence, ensuring high-quality, well structured and tested code
Contribute to the broader research community by publishing findings at top conferences and sharing insights on Waabi’s blog, helping establish Waabi as a leader in online mapping research
Qualification
Required
MS/PhD or Bachelors degree with a minimum of 2 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study
Experience working on applied research projects in ML/Autonomous driving
Passion for taking research ideas and turning them into practical solutions for real-world applications
Solid understanding of computing fundamentals, including code efficiency
Strong grasp of machine learning and computer vision literature, including current trends and state-of-the-art techniques
Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code
Comfortable working with large datasets for machine learning applications
Open-minded and collaborative team player with the willingness to help others
Experience and excitement in supporting a fast-paced high-growth environment
Passionate about being part of an organization solving self-driving technologies
Preferred
Experience in shipping machine learning features/models into production
Previous experience in perception and/or online mapping systems
Previous experience in self-driving technology or related fields
Publications in top-tier conferences or journals related to computer vision, machine learning, or robotics
Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models
Proficiency in Pytorch, Rust, C++ and/or CUDA
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.
Company
Waabi
Waabi is pioneering Physical AI starting with autonomous trucking.
51-200 employees
H1B Sponsorship
Waabi has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (6)
2023 (6)
2022 (4)
Funding
Current Stage
Growth StageTotal Funding
$283.04MKey Investors
Volvo Group Venture CapitalKhosla Ventures
2024-06-18Series B· $200.48M
2023-01-18Series Unknown
2021-06-08Series A· $82.55M
Leadership Team
Raquel Urtasun
Founder & CEO
Lior Ron
COO
Recent News
2025-12-13
Globe and Mail
2025-12-10
Company data provided by crunchbase