Staff Deep Learning Engineer

The role

You will lead end-to-end delivery of large-scope perception projects from design through production. You will mentor engineers and shape the technical direction of the Deep Learning team.

What you will do

• Lead end-to-end delivery of large-scope perception projects
• Define and document technical approaches
• Drive alignment across Deep Learning, Platform, and Product teams
• Mentor junior and mid-level engineers
• Contribute to team roadmap
• Evaluate and prioritize new technical investments
• Set and uphold engineering quality standards
• Work on abstract and ambiguous problems with stakeholders

Required qualifications

• Bachelor's degree in Computer Science, Robotics, Computer Vision, Electrical Engineering, or a related field
• 8+ years building and deploying ML models in production
• Mastery in at least 2 of the following: 3D vision models, Video/temporal behavior models, Vision language models and fine tuning, Foundation models in perception, Nvidia edge device stack and cuda kno
• Working proficiency across model training, evaluation, optimization, cloud and edge deployment, and MLOps
• Proven ability to mentor engineers, lead technical discussions, and influence cross-team decisions
• Excellent written and verbal communication skills

Nice to have

• prior experience in a tech lead or staff-equivalent role

About the company

Hayden AI uses computer vision to transform how transit systems and government agencies address real-world challenges. Their mobile perception system helps clients accelerate transit, enhance street safety, and drive toward a sustainable future.