Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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)
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.
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