Senior Engineering Manager, Deep Learning at Hayden AI

San Francisco, California, United States

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$225,200 – $264,900Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Transportation, GovernmentIndustries

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

Skills

Key technologies and capabilities for this role

Computer VisionDeep LearningObject DetectionObject TrackingSemantic SegmentationClassificationTeam LeadershipData AnalysisData VisualizationModel DeploymentAutomation

Questions & Answers

Common questions about this position

What is the salary range for the Senior Engineering Manager role?

The salary range is $225.2K - $264.9K.

Is this position remote or hybrid?

The position is hybrid.

What key skills and experience are required for this role?

Required qualifications include a Ph.D. or Master's in a relevant field, 2+ years leading teams in computer vision and perception with deep learning on edge devices, expertise in PyTorch or TensorFlow, OpenCV, TensorRT, strong Python with Pandas, and experience in data science, automated data annotation, and multi-task deep learning models.

What does the team structure look like for this position?

You will lead a team of computer vision and perception engineers in a hands-on manner.

What makes a strong candidate for this Engineering Manager position?

Strong candidates have a Ph.D. or Master's in a relevant field, 2+ years of team leadership in real-world computer vision and deep learning on edge devices, hands-on expertise with PyTorch/TensorFlow, OpenCV, TensorRT, Python/Pandas, and proven experience in automated data annotation and multi-task deep learning models.

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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