Staff Deep Learning Engineer, Hayden AI

$193.4-227.5k

+ Equity & company-wide bonus plan

Python

Tensorflow

Pandas

PyTorch

Senior and Expert level

San Francisco Bay Area

AI-powered smart traffic enforcement platform

Open for applications

AI-powered smart traffic enforcement platform

101-200 employees

B2BTravelArtificial IntelligenceTransportManufacturingBig dataDeep TechComputer VisionMachine LearningSaaSMobile

Open for applications

$193.4-227.5k

+ Equity & company-wide bonus plan

Python

Tensorflow

Pandas

PyTorch

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

Ph.D. or Master's in Robotics, Machine Learning, Computer Science, Electrical Engineering, or a related field
Proven ability to deploy these systems with:
Deep Learning Frameworks: Expertise in PyTorch or TensorFlow (one mandatory, familiarity with both a plus)
Computer Vision Libraries: OpenCV
Deployment Optimization Tools: TensorRT
Strong Python programming and software design with experience in Pandas
Experience deploying DL models to run on real-world, resource-constrained, systems with a pragmatic approach towards problem-solving
Demonstrated proficiency in data science and traditional machine learning (SVMs, Random Forests). Prior experience with automated machine learning pipelines is desirable
Proven industry track record with experience in:
Automated data annotation for computer vision
Training multi-task and semi-supervised deep learning models for video data
Familiarity with designing multi-modal deep learning models incorporating temporal context and geometrical constraints is a plus

What the job involves

As an Staff Deep Learning Engineer, you will play a critical role in the development and refinement of a cutting-edge perception system, leveraging deep learning for real-world applications
Your expertise in computer vision, deep learning, and team leadership will drive performance improvements and seamless integration across the company
Drive the entire perception system development life cycle, from problem definition to deployment and ongoing improvement
Actively contribute to the development and refinement of the perception system in a hands-on manner
Develop robust computer vision algorithms for object detection, tracking, semantic segmentation, and classification
Design and train deep learning models for complex urban scene perception and real-time analysis
Collaborate with cross-functional teams (cloud/device) for seamless integration and monitoring of perception models
Analyze data to identify performance bottlenecks and opportunities for enhancing the perception system
Automate improvement cycles of deep learning models used within the perception system
Communicate technical findings and insights effectively to stakeholders across the company to drive performance improvements
Utilize data visualization tools to present complex information clearly for informed decision-making

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 that most cities face, but one that's often hard to monitor or enforce 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 tacke action to imprvoe safety and traffic flow. Already in use in cities like New York, LA, and now Barcelona and Braga, it's a neat idea and one that's keeping buses moving and riders safe.

Its work is more than just ticketing, it's about making cities smarter, greener, and safer for everyone and its been making big moves. It just wrapped up its pilot in Portugal that revealed nearly 8,000 violations in just three months, and launched the largest automated enforcement project in Europe in Barcelona. With over $193M raised, the company is certainly growing fast and turning head in the govtech space.

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

(Co-Founder & CTO)

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

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