Hayden AI

Engineering Manager, Deep Learning

San Francisco, California, United States

$180,000 – $210,000Compensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Robotics & AutomationIndustries

Requirements

Candidates must hold a Ph.D. or Master's in Robotics, Machine Learning, Computer Science, Electrical Engineering, or a related field. At least 2 years of experience in leading teams focused on developing real-world computer vision and perception systems using deep learning on edge devices is required. Expertise in deep learning frameworks such as PyTorch or TensorFlow is mandatory, along with proficiency in OpenCV and deployment optimization tools like TensorRT. Strong Python programming skills and experience with data science and traditional machine learning techniques are essential, and familiarity with automated machine learning pipelines is desirable.

Responsibilities

The Engineering Manager will oversee the entire perception system development life cycle, from problem definition to deployment and ongoing improvement. They will lead a team of computer vision and perception engineers, develop robust computer vision algorithms, and champion the training of deep learning models for urban scene perception. The role involves collaborating with cross-functional teams for seamless integration, analyzing data to identify performance bottlenecks, fostering automation in deep learning model improvement cycles, and effectively communicating technical findings to stakeholders.

Skills

PyTorch
TensorFlow
Deep Learning
Computer Vision
Object Detection
Tracking
Semantic Segmentation
Classification
Deep Learning Models
Edge Devices
Data Visualization

Hayden AI

Autonomous traffic management platform using AI

About Hayden AI

Hayden AI has created an autonomous traffic management platform that uses artificial intelligence to turn vehicles into mobile street sensors, collecting real-time data to improve urban mobility. This data helps transit agencies enforce dedicated bus lanes, enhancing rider safety and making public transportation more efficient. Unlike competitors, Hayden AI combines mobile sensors with citizen-driven data for a comprehensive view of traffic conditions. The company's goal is to make cities safer and more efficient through its patented technology.

Key Metrics

Oakland, CaliforniaHeadquarters
2019Year Founded
$187.9MTotal Funding
SERIES_CCompany Stage
Data & Analytics, Automotive & Transportation, AI & Machine LearningIndustries
51-200Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Health Savings Account/Flexible Spending Account
401(k) Retirement Plan
401(k) Company Match
Unlimited Paid Time Off

Risks

Increased competition from partners like Verra Mobility may lead to market share loss.
AI-powered enforcement systems may face public backlash over privacy concerns.
Expansion into Europe may encounter regulatory challenges and require local adaptation.

Differentiation

Hayden AI offers the first autonomous traffic management platform for urban mobility.
The company uses AI to convert vehicles into mobile street sensors for real-time data.
Hayden AI's platform creates a digital twin of cities for traffic monitoring and management.

Upsides

Recent $90 million Series C funding boosts technology expansion and market reach.
Partnership with Verra Mobility enhances comprehensive traffic solutions and platform capabilities.
Winning European awards positions Hayden AI as a leader in innovative urban mobility.

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