Software Engineer, Labelling, Data & Automation

$127,000 - $225,000/yr

Data Automation Data Transformation (ETL) AI Workflow Design (using GPTs / LLMs) Automation Architecture & Maintenance

Waabi

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Role Overview

As a Software Engineer on Waabi's Labelling and Data Automation team, you will build critical pipelines, tools, and workflows that accelerate the development of our AI-first self-driving technology. This role sits at the foundation of Waabi's training pipeline, where you'll be responsible for extracting interesting and relevant data from petabytes of real-world autonomous vehicle data and creating high-quality ground truth labels for machine learning models.

You'll work at the intersection of large-scale data processing, machine learning infrastructure, and autonomous vehicle technology, building practical and scalable automation tools that directly impact the development of commercial autonomous trucks and robotaxis. This is an opportunity to shape the future of transportation by ensuring our AI systems have access to the highest quality training data.

Responsibilities

Design and implement tools, pipelines, and metrics to accelerate AI-first autonomy system and generative AI simulator development
Own the process, criteria, and tooling for efficiently finding interesting and relevant data across petabytes of real world data
Build high reliability systems for extracting and labelling data with various vendors and integrate back into the system
Work with internal and third party stakeholders to define taxonomy, validation rules and success criteria for labelling projects
Design and manage end-to-end deployment of data solutions to deliver high quality labelled data for ML teams
Deploy open-set/embedding models to production environment to enable 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 degree in computer science, engineering, machine learning, or related technical discipline
Proficient in Python programming with strong software engineering fundamentals
Real-world experience writing high quality, well-structured, and well-tested code
Strong experience with data pipelines for large-scale processing and analysis
Understanding of cloud job orchestration, monitoring, and instrumentation best-practices
Strong communication and organizational skills
Willingness and ability to learn new skills, technologies, and software libraries
Passionate about self-driving technologies and solving hard problems

Nice to Have

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 production
Experience working with infrastructure as code (Terraform, CloudFormation, etc)

Benefits & Perks

Competitive compensation and equity awards
Health and Wellness benefits encompassing Medical, Dental and Vision coverage
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

About the Company

Waabi is a Physical AI company founded by AI visionary Raquel Urtasun, leading the development of autonomous transportation technology for commercial trucks and robotaxis. The company is backed by world leaders in AI, automotive, logistics, and deep tech, with offices in Toronto, San Francisco, Dallas, and Pittsburgh.