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Software Engineer, Labelling, Data & Automation

AI company building the next generation of self-driving technology, founded by AI pioneer Raquel Urtasun.
$133,000 - $240,000
Data
Mid-Level Software Engineer
Hybrid
2+ years of experience
AI · Automotive

Description For Software Engineer, Labelling, Data & Automation

Waabi, an innovative AI company founded by AI pioneer Raquel Urtasun, is revolutionizing the self-driving technology industry. They're seeking a Software Engineer specializing in Labelling, Data & Automation to join their growing team across Toronto, San Francisco, and Dallas offices. This role offers a competitive salary range of $133,000 - $240,000 USD plus equity and benefits.

The position requires 2+ years of experience and focuses on building crucial data pipelines and automation tools that accelerate the development of their AI-first autonomy system. You'll be working with world-renowned scientists and engineers, designing and implementing tools for data curation, labelling, training, and evaluation of their self-driving technology.

Key responsibilities include developing high-quality training datasets, coordinating with multiple teams to deliver efficient data solutions, and ensuring engineering excellence through well-structured code. The ideal candidate should be proficient in Python, have strong experience with data pipelines, and understand cloud job orchestration best practices.

Waabi offers an attractive benefits package including medical, dental, and vision coverage, unlimited vacation, flexible hours, and equity awards. The company maintains a strong commitment to diversity and inclusion, creating a supportive workplace environment. This is an excellent opportunity for someone passionate about self-driving technologies and solving complex problems to make a significant impact in the autonomous vehicle industry.

The role offers hybrid work arrangements and the chance to work with cutting-edge AI technology. Additional experience with ML pipelines, self-driving technology, 3D geometry, or frameworks like Apache Hadoop/Spark would be advantageous but isn't required. Join Waabi to be part of transforming the future of transportation while working with a talented, diverse team.

Last updated a day ago

Responsibilities For Software Engineer, Labelling, Data & Automation

  • Design and implement tools, pipelines, and metrics to accelerate the development of AI-first autonomy system and generative AI simulator
  • Drive the end-to-end process of building high-quality training datasets
  • Coordinate with multiple teams and deliver tailored, efficient data solutions for model development
  • Champion engineering excellence, ensuring high-quality, well structured, and tested code
  • Assist in project roadmap planning, prioritization, and delivery

Requirements For Software Engineer, Labelling, Data & Automation

Python
  • 2+ years of industry experience
  • Bachelor's in computer science, engineering, machine learning, or related technical discipline
  • Proficient in Python programming and strong software engineering fundamentals
  • 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
  • Passionate about self-driving technologies

Benefits For Software Engineer, Labelling, Data & Automation

Medical Insurance
Dental Insurance
Vision Insurance
Equity
  • Competitive compensation and equity awards
  • Health, Dental and Vision coverage (for full-time employees)
  • Unlimited Vacation
  • Flexible hours and Work from Home support
  • Daily drinks, snacks and catered meals (when in office)
  • Regular team building activities and social events
  • Annual performance bonus

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