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Full-Time

Engineering Manager

Deep Learning

Updated on 9/11/2024

Hayden AI

Hayden AI

51-200 employees

Autonomous traffic management platform using AI

Automotive & Transportation
AI & Machine Learning

Mid, Senior

San Francisco, CA, USA

Category
Engineering Management
Software Development Management
Required Skills
Python
Data Science
Tensorflow
Data Structures & Algorithms
Pytorch
Pandas
Computer Vision
Requirements
  • 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.
Responsibilities
  • 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.

Hayden AI has developed an autonomous traffic management platform that enhances urban mobility by using artificial intelligence to turn vehicles into mobile street sensors. These sensors gather real-time data to create a digital twin of the city, which helps monitor and manage traffic flow and road safety. The platform primarily serves transit agencies in major cities, enabling them to enforce dedicated bus lanes, which improves safety, on-time performance, and reduces costs. Unlike competitors, Hayden AI combines mobile sensors with citizen-driven data for a comprehensive view of traffic conditions. The goal is to make public transportation more efficient and reliable while ensuring safer urban environments.

Company Stage

Series B

Total Funding

$103.3M

Headquarters

Oakland, California

Founded

2019

Growth & Insights
Headcount

6 month growth

2%

1 year growth

18%

2 year growth

78%
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Simplify's Take

What believers are saying

  • Winning the Barcelona Innova Lab Mobility competition and launching pilots in European cities like Barcelona and Tallinn highlight Hayden AI's potential for international expansion.
  • The recent $90 million Series C funding led by TPG's The Rise Fund indicates strong investor confidence and provides ample resources for scaling operations.
  • Partnerships with Verra Mobility and other stakeholders enhance the platform's capabilities, making it a comprehensive solution for urban traffic management.

What critics are saying

  • The reliance on public transit agencies as primary clients could limit market diversification and revenue streams.
  • Integration challenges with existing city infrastructure and varying regulations across regions may slow down deployment and adoption.

What makes Hayden AI unique

  • Hayden AI's use of AI-powered mobile street sensors to create a digital twin of the city sets it apart from traditional traffic management solutions.
  • The company's focus on enforcing dedicated bus lanes and reducing operational costs for transit agencies provides a unique value proposition in the urban mobility sector.
  • Strategic partnerships with companies like Verra Mobility and significant funding rounds, including a $90 million Series C, bolster its competitive edge.