Software Engineer – Labelling, Data & Automation

About the role

Waabi is building the next generation of autonomous transportation. As a Software Engineer on the Labelling and Data Automation team you will create pipelines, tools, and workflows that accelerate the development of AI‑first self‑driving technology.

Key responsibilities

• Design and implement tools, pipelines, and metrics to accelerate the AI‑first autonomy system and generative AI simulator.
• Own the process and tooling for efficiently finding relevant data across petabytes of real‑world data.
• Build high‑reliability systems for extracting and labeling data with vendors and integrate them back into Waabi’s platform.
• Collaborate with internal and third‑party stakeholders to define taxonomy, validation rules, and success criteria for labeling projects.
• Deploy end‑to‑end data solutions delivering high‑quality labeled data for ML teams.
• Deploy open‑set/embedding models to production, enabling new search and curation modalities.
• Champion engineering excellence with well‑structured, tested code and contribute to roadmap planning.

Required profile

• 4+ years of industry experience.
• Bachelor’s degree in computer science, engineering, machine learning or a related field.
• Proven ability to write high‑quality, well‑tested Python code.
• Strong experience building large‑scale data pipelines and processing frameworks.
• Understanding of cloud job orchestration, monitoring and instrumentation best practices.
• Excellent communication and organizational skills.

Required skills

• Python programming
• Large‑scale data pipeline development
• Cloud orchestration tools (e.g., Airflow, Beam, Dataflow)
• MapReduce frameworks such as Hadoop or Spark
• Infrastructure as code (Terraform, CloudFormation)
• Experience with ML pipelines and embedding models