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Staff Deep Learning Engineer

Haydenai
Full TimestaffRemote
San Francisco HQ OfficeRemotePosted 8 days ago

Role Overview

Haydenai is hiring a Staff Deep Learning Engineer. This is a full-time remote role, with the team based in San Francisco HQ Office. Part of Haydenai's Mobile hiring, posted last week. Full responsibilities, required qualifications, and the apply link are listed in the description below.

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Job description

ABOUT US

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.

JOB SUMMARY

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.

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

REQUIRED QUALIFICATIONS:

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

About Haydenai

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Haydenai

MobileHires remote

19 other open roles at Haydenai on TryApplyNow.

Frequently Asked Questions

How do I apply for the Staff Deep Learning Engineer position at Haydenai?

Use the Apply button above to submit your application directly to Haydenai. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Is the Staff Deep Learning Engineer role at Haydenai remote?

Yes. This is a remote role. The team is based in San Francisco HQ Office, but the position itself does not require relocating to that office.

What does a Staff Deep Learning Engineer at Haydenai earn?

Haydenai has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Staff Deep Learning Engineer role at Haydenai posted?

This role was posted on July 1, 2026 (8 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

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