Software Engineer, Labelling, Data & Automation

Waabi, 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.

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

Requirements:

• 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
• 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)