Staff Deep Learning Engineer

Hayden AI • San Francisco, CA

1d • $230,522 - $299,679

About The Position

At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges. From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future. The Deep learning team’s work is at the crux of Hayden AI’s solutions to its customers. The team is responsible for building and maintaining advanced models that are able to perceive the world and the knowledge produced by the models is used downstream to implement various customer use-cases. The team runs a number of models both in the cloud as well as on the edge device serving different scenarios. The team also works closely with the platform team to build out Hayden AI’s MLOps infrastructure to achieve better scale and reliability.

Requirements

• Bachelor's degree in Computer Science, Robotics, Computer Vision, Electrical Engineering, or a related field
• 8+ years building and deploying ML models in production
• Prior experience in a tech lead or staff-equivalent role preferred
• Mastery in at least 2 of the 4 perception verticals
• Working proficiency across model training, evaluation, optimization, cloud and edge deployment, and MLOps (pipelines, experiment tracking, CI/CD for ML)
• Proven ability to mentor engineers, lead technical discussions, and influence cross-team decisions
• Excellent written and verbal communication skills, able to write clear design docs and project plans
• Thrives in a fast-paced startup

Responsibilities

• Lead end-to-end delivery of large-scope perception projects, from design through production
• Define and document technical approaches; drive alignment across Deep Learning, Platform, and Product teams
• Mentor junior and mid-level engineers through code review, design feedback, and hands-on pairing
• Contribute to team roadmap and help evaluate and prioritize new technical investments
• Set and uphold engineering quality standards across model development, MLOps, and deployment

What This Job Offers

• Job Type: Full-time
• Career Level: Senior