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
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
Skills Required
- Bachelor's degree in Computer Science, Robotics, Computer Vision, Electrical Engineering, or related field
- 8+ years building and deploying ML models in production
- Prior experience in a tech lead or staff-equivalent role
- 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; able to write clear design docs and project plans
- Thrives in a fast-paced startup environment
Hayden AI Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Hayden AI and has not been reviewed or approved by Hayden AI.
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Fair & Transparent Compensation — Pay is described as competitive for senior technical roles, with multiple posted ranges and wage baselines converging around high six figures. Equity and a company-wide bonus plan are also referenced as parts of the overall package.
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Healthcare Strength — Medical, dental, and vision coverage for employees and dependents is consistently listed, alongside FSA/DCFSA options. Some listings indicate very high employer premium coverage depending on role and location.
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Retirement Support — A 401(k) plan with an employer match is repeatedly cited as a standard component of the package. The presence of a stated match suggests a more structured retirement benefit than many early-stage startups.
Hayden AI Insights
What We Do
Artificial intelligence is already impacting almost every aspect of our lives. But cities still rely on outdated technologies that are too expensive to scale and unable to deliver on their promise. As a result, streets are becoming unsafe, and cities are becoming unmanageable. Hayden AI was founded on the belief that by combining mobile sensors with artificial intelligence, we can help governments bridge the innovation gap while making traffic flow less dangerous and more efficient. Led by a team of experts in machine learning, data science, transportation, and government technology, we’ve developed the world’s first autonomous traffic management platform — simultaneously serving citizens and multi-agency missions to help cities become safer and more sustainable.
