Staff Machine Learning Engineer at Hayden AI

San Francisco, California, United States

Hayden AI Logo
$222,200 – $288,900Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Computer VisionIndustries

Requirements

Candidates must possess a Ph.D. or Master's degree in Machine Learning, Computer Science, Robotics, Electrical Engineering, or a related field, with over 10 years of experience in machine learning, deep learning, and computer vision, specifically in image classification, object tracking, semantic segmentation, and urban scene understanding. Proficiency in Python, PyTorch or TensorFlow, and OpenCV is essential, along with demonstrated experience in deploying deep learning systems in production, cloud-based deployments (AWS, GCP, Azure), and containerization technologies like Docker and Kubernetes. Experience with foundational models for computer vision and traditional machine learning algorithms is also required.

Responsibilities

The Staff Machine Learning Engineer will define and lead projects throughout the entire ML system development lifecycle, from problem definition to production deployment and continuous improvement. This role involves guiding cross-functional teams, developing and refining production machine learning models with clean code, and designing/training deep learning models for urban scene perception tasks such as classification, object detection, tracking, and semantic segmentation. Responsibilities include collaborating with cross-functional teams for seamless integration, designing automated pipelines for model training and evaluation, analyzing data to identify performance bottlenecks, and communicating technical findings to stakeholders.

Skills

Machine Learning
Deep Learning
Computer Vision
Object Detection
Tracking
Semantic Segmentation
Model Deployment
Data Acquisition
Model Refinement
Problem Definition

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.

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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