Haydenai

Staff Deep Learning Engineer

San Francisco HQ Office · Staff+

Sponsorship not specifiedDetected 4 days ago

Code ReviewCI/CDMachine LearningDeep LearningComputer VisionMLOpsRoboticsElectrical EngineeringLeadershipCommunication

About the role

Below are your primary responsibilities.
These represent the core areas where you'll make an impact.
As part of a rapidly evolving team, we look forward to your impact expanding over time.

Lead end-to-end delivery of large-scope perception projects, from design through production
Mentor junior and mid-level engineers through code review, design feedback, and hands-on pairing
Beyond individual execution, you help shape the team's technical direction, mentor engineers, and drive alignment with cross-functional partners.

Breadth: Working proficiency across model training, evaluation, optimization, cloud and edge deployment, and MLOps (pipelines, experiment tracking, CI/CD for ML)

Bachelor's degree in Computer Science, Robotics, Computer Vision, Electrical Engineering, or a related field
3D vision models to predict depth and 3D structure.
Vision language models and hands-on experience fine tuning them.
Define and document technical approaches; drive alignment across Deep Learning, Platform, and Product teams
As a Staff Deep Learning Engineer in the Deep Learning team at Hayden, you are a technical anchor for the team - able to own and deliver complex, long-horizon perception projects while elevating the engineers around you.

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.

This listing is sourced directly from Haydenai's careers page and normalized into a canonical job model.