Waabi · 2 weeks ago
Software Engineer, Labelling, Data & Automation
United States+1 more
Full-time
Remote
Mid Level
$127K/yr - $225K/yr
4+ years expWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. As a Software Engineer on our Labelling and Data Automation team, you will build pipelines, tools, and workflows to accelerate the development of our AI-first self-driving technology.
Artificial Intelligence (AI)AutomotiveTransportationAutonomous VehiclesMachine Learning
Responsibilities
Design and implement tools, pipelines, and metrics to accelerate the development of our AI-first autonomy system and generative AI simulator
Own the process, criteria, and tooling for efficiently finding interesting and relevant data across the petabytes of real world data that Waabi has collected
Build high reliability systems for extracting and labelling the interesting data with various vendors and integrate it back into our system
Work with both internal and third party stakeholders to define taxonomy, validation rules and success criteria for our labelling projects
Design and manage the end-to-end deployment of data solutions to deliver high quality labelled data for various ML teams to use in experiments and model improvement
Deploy open-set / embedding models to our production environment - empowering new search and curation modalities
Champion engineering excellence, ensuring high-quality, well structured, and tested code
Contribute to project roadmap planning, prioritization, and delivery
Qualification
Required
4+ years of industry experience
Bachelor's in computer science, engineering, machine learning, or a related technical discipline
Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code
A willingness and ability to learn new skills, technologies, and software libraries as required
Strong experience with data pipelines for large-scale processing and analysis
Strong communication and organizational skills
Understanding of cloud job orchestration, monitoring, and instrumentation best-practices
Open-minded and collaborative team player with the willingness to help others
Passionate about self-driving technologies, solving hard problems, and creating innovative solutions
Preferred
Experience with ML pipelines, including dataset curation, labelling, training and evaluation
Previous experience in self-driving technology or related fields
Familiar with linear algebra (projections, transforms) and 3D geometry
Experience with MapReduce frameworks (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow/Apache Beam/Google Dataflow/AWS Step Functions)
Experience with front end development
Experience working with open-set / embedding models and deploying them in a production setting
Experience working with infra as code (Terraform, CloudFormation, etc)
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 develops autonomous driving technology and physical artificial intelligence systems for the transportation sector.
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
100%
Represents job field similar to this job
Engineering and Development
Trends of Total Sponsorships
*2026 (1)
Funding
Current Stage
Growth StageTotal Funding
$1.03BKey Investors
G2 Venture Partners,Khosla VenturesKhosla Ventures,UberVolvo Group Venture Capital
2026-01-28Series C· $750M
2024-06-18Series B· $200.48M
2023-01-18Series Unknown
Leadership Team
Raquel Urtasun
Founder & CEO
Lior Ron
COO
Recent News
Company data provided by crunchbase