Deep Learning Engineer, Hayden AI

$161.6-175k

AWS

GCP

Python

Azure

PyTorch

Junior level

San Francisco Bay Area

3+ days a week in office

AI-powered smart traffic enforcement

Open for applications

AI-powered smart traffic enforcement

101-200 employees

B2BTravelArtificial IntelligenceTransportManufacturingBig dataDeep TechComputer VisionMachine LearningSaaSMobile

Open for applications

$161.6-175k

AWS

GCP

Python

Azure

PyTorch

Junior level

San Francisco Bay Area

3+ days a week in office

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

The qualifications below outline the experience and skills most relevant to success in this role. We recognize that skills and potential come in many forms, and we welcome diverse experiences that advance our mission
Experience: 1-2 years experience building and deploying machine learning models for perception in production settings
Core Skills: Solid hands-on experience designing, training, and evaluating machine learning models for perception. Demonstrated ability to independently build ML pipelines and deploy models to cloud environments (AWS, GCP, or Azure); familiarity with MLOps practices including experiment tracking, model versioning, and automated workflows. Hands-on experience in PyTorch, Python, and related skills
Personal Attributes:Good communicator, self starter and ability to collaborate with others, quick learner who can adapt to a fast paced startup culture
Education: Bachelors or Masters in Computer Science or related field
Nice to Have: Experience working in perception problems in self driving car companies that aligns closely with the work of this team

What the job involves

As a Deep Learning Engineer at Hayden, you will make key contributions towards building foundational AI capabilities for Hayden that will enable solving complex problems for Hayden AI Customers
In this role, you will build, train, evaluate and deploy state of the art ML models in production at scale. You will report into the Director of AI within the Perception Org and work closely with other engineering as well as product teams to deliver value to Hayden AI customers
We are looking for someone who has familiarity with or growing expertise in at least one of the verticals below — depth in a specific area is valued but not required on day one
3D vision models to predict depth and 3D structure,
Video/temporal behavior models to predict intent,
Deep understanding of Vision language models and hands-on experience fine tuning them,
Deep understanding of foundation models in perception
Deep knowledge of Nvidia edge device stack for running ML models and cuda know-how in terms delivering highly optimized models
This position is based in San Francisco and follows a hybrid schedule with at least 3 days in-office per week
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
Come up with solutions to complex problems in perception using deep learning
Articulate ideas both verbally and in written form culminating in clear design and project plan docs for their work
Contribute to team roadmap and planning
Work with cross functional teams across the company and contribute towards delivery of end to end solutions for the customer

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: $52.6m

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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