Staff Deep Learning Engineer, Hayden AI

$230.5-299.7k

Offers equity and bonus

Senior and Expert level

San Francisco Bay Area

AI-powered smart traffic enforcement

Be an early applicant

AI-powered smart traffic enforcement

101-200 employees

B2BTravelArtificial IntelligenceTransportManufacturingBig dataDeep TechComputer VisionMachine LearningSaaSMobile

Be an early applicant

$230.5-299.7k

Offers equity and bonus

Senior and Expert level

San Francisco Bay Area

101-200 employees

B2BTravelArtificial IntelligenceTransportManufacturingBig dataDeep TechComputer VisionMachine LearningSaaSMobile

Company mission

To harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.

Job

Company

Role

Who you are

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

What the job involves

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
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

Our take

Cities around the world are dealing with clogged bus lanes, blocked stops, and traffic violations that slow down public transit and put people at risk. It's a huge problem, but one that remains difficult to monitor or mitigate effectively.

Hayden AI is tackling this problem with its smart, bus-mounted cameras powered by AI. They automatically detect when vehicles block bus lanes or stops, helping cities gather real-time data and take action to improve safety and traffic flow.

Already in use in cities like New York, LA, Barcelona and Braga, it's a transformative idea that can keep buses moving and riders safe. The company has raised considerable funding and is growing fast, and in 2026 received approval to begin serving local authorities across the UK.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 4 rounds)

Aug 2022

$4m

LATE VC

Sep 2020

$35m

SERIES B

Total funding: $52.5m

Company HQ

China Basin, San Francisco, CA

Leadership

Vaibhav Ghadiok

(CTO & Co-Founder)

Previously a Robotics Engineer at Nixie Labs, Head of Mapping at NAUTO, and Navigation & Perception Lead at Visible Sensors.

Marty Beard

(CEO)

Previously Co-Founder and CEO of alwaysAI, a vision AI company, as well as C-level executive at leading public and private companies, including Sybase, LiveOps and BlackBerry.

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