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

Be an early applicant

AI-powered smart traffic enforcement platform

101-200 employees

B2BTravelArtificial IntelligenceTransportManufacturingBig dataDeep TechComputer VisionMachine LearningSaaSMobile

Be an early applicant

$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

Hayden AI’s mission is to bridge the innovation gap in traffic enforcement by combining artificial intelligence with mobile sensors to increase the safety, efficiency, and sustainability of municipal fleet vehicles.

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

Traffic law enforcement has been pretty slow to adopt innovative technology, with static cameras on certain streets and in police cars still the norm, but the effectiveness of these is severely limited.

Hayden AI is set on evolving traffic enforcement with a range of AI-driven solutions, from mounted cameras on municipal vehicles to automated citation, 3D city mapping, and traffic hazard alerts.

That the company completed three sizable fundraises in its very first year spotlights the excitement it’s generating – particularly amongst government bodies. Apart from day-to-day traffic enforcement, Hayden AI also enables these clients to leverage data gathered to influence policy making.

Hayden AI has some grand plans for the self-driving vehicle and mapping sectors too, as companies in the niche could use up to date data and mapping information as they drive. Throughout 2022 and early 2023, it found multiple successes such as making a number of promising partnerships, joining the NVIDIA Metropolis Platform, securing a patent for its Safe Sense traffic violation reporting app, and launching a new tool to calculate emissions savings from automated bus lane enforcement.

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: $51.9m

Company benefits

Stock Options
Health Benefits
Flexible Hours
Vacation Time
401K
Sick Days
Learning Opportunities
Catered Lunches
Gym Membership
New Gear
Casual Working Attire
Fun Events
Pet-Friendly
Hackathons

Company HQ

Old Oakland, Oakland, CA

Leadership

Chris Carson

(CEO)

Former US Marine Corps. Has more than 20 years experience in tech startups as a Founder, Investor and Board Member. Founder and former CEO of autonomous vehicle tech company Nueevo Technologies, and Louisa Manufacturing.

Michael Byrne

(CPO)

Served as Head of Product at Nueevo Technologies, and VP of Business Development and Product Marketing at Accuscore Driver Risk.

Bo Shen

(CSO)

Was originally CTO of the company. Spent 11 years at Vuclip as Senior Director turned VP of Engineering, then as CTO. Had previously spent 10 years as a Senior Research Scientist at Hewlett-Packard Laboratories.

Vaibhav Ghadiok

(EVP - Engineering)

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

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