Software Engineer, Labelling, Data & Automation

New

Remote US & CanadaFull-TimeMiddle

Salary not disclosed

Apply NowOpens the employer's application page

Job Details

4+ years of industry experience.
Bachelor's in computer science, engineering, machine learning, or a related technical discipline.
Proficient in Python programming.
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.
Understanding of cloud job orchestration, monitoring, and instrumentation best-practices.
Strong communication and organizational skills.
Open-minded and collaborative team player.
Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

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.

View Full Description & ApplyYou'll be redirected to the employer's site