Engineering Manager, Hayden AI
Deep Learning
$180-210k
Offers Equity; Offers Bonus
1-3 days a week in office
AI-powered smart traffic enforcement platform
Be an early applicant
AI-powered smart traffic enforcement platform
101-200 employees
Be an early applicant
$180-210k
Offers Equity; Offers Bonus
1-3 days a week in office
101-200 employees
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.
Role
Who you are
- Ph.D. or Master's in Robotics, Machine Learning, Computer Science, Electrical Engineering, or a related field
- 2+ years leading and managing teams focused on developing real-world computer vision and perception systems using deep learning on edge devices
- 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 Engineering Manager, you will lead 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
- Oversee the entire perception system development life cycle, from problem definition to deployment and ongoing improvement
- Lead a team of computer vision and perception engineers to develop and refine the system in a hands-on manner
- Spearhead the development of robust computer vision algorithms for object detection, tracking, semantic segmentation, and classification
- Champion the development and training of 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
- Foster automation in the 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: $51.4m
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 values
- Collaboration - Work together to achieve a common goal.
- Customer Focus - The customer is our true north.
- Integrity - Act with integrity in every decision we make.
- Transparency - Succeed through the open exchange of information, both positive and negative.
- Empowerment - Figure out how to get things done and make them happen.
- Passion - Have a can-do attitude, with the enthusiasm and commitment to go the extra mile.
Company HQ
Old Oakland, Oakland, CA
Articles
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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