Software Engineer, Labelling, Data & Automation

Job summary

Responsibilities

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

• 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

What they're looking for

• 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.

Tech stack

• Python
• Spark
• Airflow
• AWS
• Terraform