Waabi
Senior Software Engineer, Auto Labelling
Remote US & Canada. Posted 7 months ago
The role
You will be part of a team of Research Scientists and Engineers building an offline perception and auto-labelling system using computer vision and machine learning. You will manage the training, evaluation and automation of large-scale auto-labelling and architect pipelines that handle large data using distributed computing.
What you will do
- Build and operate an offline perception and auto-labelling system using computer vision and machine learning
- Manage end-to-end orchestration of large-scale auto-labelling training, evaluation and automation
- Architect and scale pipelines for large-scale data and user requests using distributed computing frameworks
- Work with ML researchers and engineers to deploy new architectures into production
Required qualifications
- Bachelor's degree in Computer Science, Robotics and/or a similar technical field
- 3+ years of experience developing solutions in ML systems or the ML software stack
- Deep understanding of ML system architecture, performance analysis and profiling tools
- Experience with end-to-end productionization of deep learning models, particularly large-scale online inference
- Proficient in Python, with track record of production-grade, well-tested code
- Open-minded and collaborative team player willing to help others
Nice to have
- Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion perception models
- Experience working with large Vision-Language Models (VLMs)
Benefits
- Competitive compensation and equity awards
- Medical, Dental and Vision coverage (full-time employees only)
- 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 on-site, off-site and virtually
About the company
Waabi is a technology start-up founded by Raquel Urtasun, building technologies for autonomous trucks and robotaxis. It is backed by and partners with leaders in AI, automotive, logistics and deep tech.