Software Engineer, Labelling, Data & Automation

Summary

Join Waabi, a leading AI company, and become a Software Engineer embedded within our Autonomy & Algorithms teams. You will build pipelines, tools, and automated workflows to accelerate the development of our AI-first self-driving technology. Collaborate with a multidisciplinary team of world-renowned scientists and software engineers to build innovative, practical, and scalable solutions. Design and implement tools and metrics to enhance our AI-first autonomy system and generative AI simulator. Drive the end-to-end process of building high-quality training datasets, from data curation to visualization. Coordinate with multiple teams to deliver efficient data solutions for model development. Champion engineering excellence by ensuring high-quality, well-structured, and tested code. Assist in project roadmap planning, prioritization, and delivery. Waabi offers competitive compensation and benefits, including health and wellness benefits, unlimited vacation, flexible hours, and more.

Requirements

• 2+ 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
• Strong communication and organizational skills Understanding of cloud job orchestration, monitoring, and instrumentation best-practices
• Open-minded and collaborative team player with the willingness to help others
• Passionate about self-driving technologies, solving hard problems, and creating innovative solutions

Responsibilities

• Design and implement tools, pipelines, and metrics to accelerate the development of our AI-first autonomy system and generative AI simulator
• Drive the end-to-end process of building high-quality training datasets, spanning data curation, labelling, training, evaluation, and visualization
• 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

Preferred Qualifications

• 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)

Benefits

• Competitive compensation and equity awards
• Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only)
• 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 both on-site, off-site & virtually