Deep Learning Engineer, Hayden AI

$161.6-175k

Junior and Mid level

San Francisco Bay Area

More information about location

3 days a week in office

AI-powered smart traffic enforcement

Job no longer available

AI-powered smart traffic enforcement

101-200 employees

B2BTravelArtificial IntelligenceTransportManufacturingBig dataDeep TechComputer VisionMachine LearningSaaSMobile

Job no longer available

$161.6-175k

Junior and Mid level

San Francisco Bay Area

More information about location

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

Master of Science or Engineering degree or the foreign equivalent in
Robotics, Machine Learning, Computer Science, Electrical Engineering, Electrical Engineering and Computer Sciences or related
Two (2) years of experience in the position offered, as a Perception Engineer (Deep Learning), Graduate Researcher, Computer Vision Researcher, Software Engineer, Machine Learning Engineer, Graduate Student, Summer Intern or a related deep learning engineer role
One (1) year of work experience with all of the following: machine learning, deep learning, and computer vision, with a focus on image classification, object detection, semantic segmentation, and urban scene understanding; leveraging large foundational models for a variety of computer vision tasks;
Deploying models in real-world, customer- facing production environments data augmentation and data generation pipelines for training; deep learning models for multi-sensor fusion (e.g., IMU, LiDAR, Cameras) to enable robust perception and operation in GPS-challenged environments deep learning models; developing models for motion forecasting or trajectory prediction of dynamic agents, applied to areas such as vehicle movement classification
Python programming with a foundation in software design principles and with relevant machine learning libraries and Frameworks; PyTorch or TensorFlow; cloud-based deployments on platforms such as AWS, GCP, or Azure; containerization and orchestration technologies, such as Docker or Kubernetes; and cloud and edge device systems for effective model deployment and integration

What the job involves

Lead the research, development, and deployment of state-of- the-art deep learning models for perception of urban scenes in production environments. Architect and optimize complex machine learning systems for scalability, efficiency, and robustness, utilizing cloud-native technologies. Develop and implement training techniques such as data augmentation or model distillation pipelines to improve model robustness under diverse urban and environmental conditions
Explore and integrate novel multi-modal foundational AI models, including large Vision-Language Models (VLMs), and develop strategies for their effective fine-tuning and adaptation to specific domain challenges. Drive innovation in model compression, quantization, and efficient inference techniques to optimize performance for both cloud and edge device deployments
Collaborate with cross-functional teams to define machine learning roadmaps, evaluate new technologies, and contribute to the overall technical strategy. Conduct research, and evaluate emerging deep learning techniques applicable to perception and intelligent mobility

Application process

Deadline to Apply: June 17, 2026 at 7:59 AM GMT+1

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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