Waabi
Senior Software Engineer, Auto Labelling
$170K–$220K
Remote US & Canada +5 · Hybrid · Senior · Full-time · Posted Mar 30, 2026
- Location
- Remote US & Canada
Dallas, TX
Phoenix, AZ
Pittsburgh, PA
San Francisco, CA
Toronto, ON - Experience
- 3+ years developing solutions in ML systems or the ML software stack.
- Education
- Bachelor’s degree in Computer Science, Robotics, or a similar technical field.
About the job
Build and scale an offline perception and auto-labelling system, including its training, evaluation, automation, and production deployment pipelines.
What you'll do
- Orchestrate large-scale auto-labelling training, evaluation, and automation.
- Architect and scale data pipelines using distributed computing frameworks.
- Collaborate with ML researchers and engineers to deploy new architectures into production.
What they ask for
- Bachelor’s degree in Computer Science, Robotics, 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 productionizing deep learning models, particularly large-scale online inference; proficiency in Python and production-grade code.
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).
Pay
$170,000 - $220,000 USD base salary
Tools
Python, computer vision, machine learning, distributed computing frameworks, LIDAR/Point Clouds, Vision-Language Models (VLMs)
AI focus
Develop offline perception and auto-labelling systems using computer vision and machine learning, and productionize deep learning models.
Model-written summary · the original posting is authoritative