---
title: 'Deep Learning Engineer at Hayden AI'
canonical: 'https://feeny.ai/job/deep-learning-engineer-hayden-ai-san-francisco-rhaqygbvq371'
type: 'job'
last_seen: '2026-09-11'
---

# Deep Learning Engineer at Hayden AI

- **Company:** Hayden AI
- **Location:** San Francisco, CA
- **Compensation:** $162k–$175k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-18
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/haydenai/f9da378a-156e-4fa4-8d8c-34580a05b4c9

## 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.

## About the Deep Learning Team

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.

## About the Role

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.

## Key Responsibilities

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

Required Qualifications 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.

## About Hayden AI

## Company Overview
- **One-liner**: Hayden AI provides an AI-powered, vehicle-mounted mobile perception platform that helps cities automate traffic enforcement to make streets safer and public transit more efficient.
- **Entity Type**: Private (Series C)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2019
- **Founders**: Zac Levin (noted as Product Lead on the company site)

## Core Business
- **Primary industry/industries**: Smart City Technology, Transportation, Government Technology (GovTech), Artificial Intelligence, Geospatial Analytics
- **Target customers**: B2G (Business to Government) - specifically municipal transit authorities, city transportation departments, and local governments.
- **Mission or purpose statement**: "To develop artificial intelligence and geospatial analytics that will revolutionize how governments and businesses solve real world problems." [hayden.ai](https://hayden.ai/company)

## Products & Services
- **Automated Bus Lane & Bus Stop Enforcement**: The flagship product. A mobile perception system mounted on public transit buses that automatically detects and records vehicles illegally parked in bus lanes or bus stops. This helps cities clear unauthorized parking, improving bus speeds, reliability, and ridership.
- **Automated Bike Lane Enforcement**: A similar system for detecting vehicles illegally parked or driving in bike lanes, enhancing cyclist safety. Currently being deployed in cities like Santa Monica. [cbinsights.com](https://www.cbinsights.com/company/hayden-ai)
- **Digital Twin Modeling & Spatial Analytics**: The platform can also be used to create digital twins of city environments and provide spatial analytics to help governments and businesses solve real-world problems.
- **Civil Traffic Enforcement System**: An integrated hardware and software system (including forward-facing cameras, ALPR, and detection software) that has received UK Vehicle Certification Agency (VCA) approval for use in England to detect parking, bus lane, cycle lane, and moving contraventions. [cbinsights.com](https://www.cbinsights.com/company/hayden-ai)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: **$173.42M Total Funding** across multiple rounds, with the most recent being a **$90M Series C** raised approximately two years ago. [cbinsights.com](https://www.cbinsights.com/company/hayden-ai) Annual Revenue is not publicly available.
- **Notable Investors/Partners**: Includes Autotech Ventures, Berkeley SkyDeck, Drawdown Fund, and The Rise Fund. The company also has a strong partnership network with major US transit authorities. [cbinsights.com](https://www.cbinsights.com/company/hayden-ai)
- **Growth Signals**:
    - **GovTech 100 Winner**: A six-time consecutive winner (2021-2026) of the GovTech 100 award. [hayden.ai](https://hayden.ai/company)
    - **TIME Magazine Top GreenTech Company 2024**: Recognized as a leader in green technology.
    - **Global Top 100 Geospatial Company**: Listed among the top geospatial companies globally.
    - **International Expansion**: Received UK VCA approval in June 2026, enabling expansion into the United Kingdom and signaling a major new market. [cbinsights.com](https://www.cbinsights.com/company/hayden-ai)
    - **Proven US Deployment**: Already deployed in major US cities including New York City, Los Angeles, Washington, D.C., and Philadelphia.
    - **Patents**: The company has filed 27 patents, primarily in machine learning, road traffic management, and artificial neural networks. [cbinsights.com](https://www.cbinsights.com/company/hayden-ai)

## Competitive Advantages
- **Purpose-Built AI Hardware & Software**: Unlike generic computer vision systems, Hayden AI develops its own purpose-built cameras and hardware optimized for vehicle mounting and real-time analysis.
- **Privacy-First Design**: The platform is explicitly designed to identify objects (vehicles, license plates) and not people, using edge processing and encryption to comply with privacy regulations. This forward-thinking approach is a key selling point for privacy-conscious governments. [hayden.ai](https://hayden.ai/company)
- **Real-World, Proven Impact**: The company's technology has a strong track record of measurable results in major cities, such as increasing bus speeds and reducing traffic violations.
- **Regulatory Endorsement**: The recent VCA certification in the UK provides a strong, independently verified stamp of approval that eases adoption in new markets.

## Strategic Focus
- **International Expansion**: The VCA approval for the UK market is a major strategic focus, opening a new continent for business development.
- **Product Diversification**: Expanding from bus lane enforcement into bike lane enforcement and general civil traffic enforcement (restricted routes, parking), broadening their addressable market.
- **Continued Innovation**: The company's patent filings and focus on "digital twin modeling" suggest a long-term strategy to become a core data and analytics platform for urban management, not just an enforcement tool.

## Why Work Here
- **High-Impact Mission**: Employees have a clear, tangible impact on making city streets safer and public transit more efficient. The work directly improves quality of life in urban areas.
- **Market Leadership & Reputation**: Joining a six-time GovTech 100 winner and globally recognized leader provides strong career validation and exposure to cutting-edge technology.
- **Strong Growth Trajectory**: The company is well-funded (over $173M raised), actively expanding internationally, and has a clear product roadmap, suggesting strong job security and opportunities for advancement.
- **Technical Challenges**: The work involves solving complex problems in computer vision, embedded systems (firmware), state estimation, and large-scale data processing, making it a compelling environment for engineers.
- **Work Policy**: **Hybrid** model. Employees typically work on-site **3 days a week** at one of their three offices (San Francisco, CA; Kenilworth, NJ; New York, NY). [builtin.com](https://builtin.com/company/hayden-ai)
- **Culture**: Described as "curious, ambitious, and always optimistic," the company values innovation and is looking for motivated people to join their mission. They emphasize an inclusive, equal-opportunity workplace. [hayden.ai](https://hayden.ai/careers)

## Sources
1. [hayden.ai - Company Page](https://hayden.ai/company)
2. [hayden.ai - Careers Page](https://hayden.ai/careers)
3. [cbinsights.com - Hayden AI Profile](https://www.cbinsights.com/company/hayden-ai)
4. [builtin.com - Hayden AI Careers](https://builtin.com/company/hayden-ai)
5. [linkedin.com - Hayden AI](https://www.linkedin.com/company/haydenaitech)
6. [jobs.ashbyhq.com - Hayden AI Jobs](https://jobs.ashbyhq.com/haydenai)

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