Join Hayden AI: Engineering Manager, Deep Learning

About Us

At Hayden AI, we are dedicated to leveraging the power of artificial intelligence and machine learning to revolutionize how governments and businesses address real-world challenges. Our innovative mobile perception system tackles everything from bus lane and bus stop enforcement to pioneering digital twin modeling and beyond, allowing our clients to accelerate transit, enhance street safety, and drive a sustainable future.

What the Job Involves

As an Engineering Manager, you will lead the development and enhancement of a state-of-the-art perception system, utilizing deep learning for practical applications. Your expertise in computer vision, deep learning, and team leadership will be pivotal in improving performance and ensuring seamless integration across the company.

Responsibilities

• Oversee the complete perception system development life cycle, from concept to deployment and continuous improvement.
• Lead and mentor a team of computer vision and perception engineers in a hands-on manner.
• Develop robust computer vision algorithms for object detection, tracking, semantic segmentation, and classification.
• Advocate for the development and training of deep learning models for intricate urban scene perception and real-time analysis.
• Collaborate with cross-functional teams (cloud and device) for smooth integration and monitoring of perception models.
• Analyze data to identify performance bottlenecks and areas for system enhancement.
• Promote automation in deep learning model improvement cycles.
• Effectively communicate technical findings and insights to stakeholders to drive performance enhancements.
• Utilize data visualization tools to present complex information clearly for informed decision-making.

Qualifications

• Ph.D. or Master's in Robotics, Machine Learning, Computer Science, Electrical Engineering, or a related field.
• 2+ years of experience leading and managing teams focused on developing real-world computer vision and perception systems using deep learning on edge devices.
• Proficient in deploying these systems with:
  • Deep Learning Frameworks: Proficiency in PyTorch or TensorFlow (mandatory), familiarity with both is a plus.
  • Computer Vision Libraries: OpenCV.
  • Deployment Optimization Tools: TensorRT.
• Strong Python programming and software design skills, with experience in Pandas.
• Experience deploying deep learning models on real-world, resource-constrained systems with a pragmatic approach to 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.
  • Designing multi-modal deep learning models incorporating temporal context and geometrical constraints is a plus.

Benefits and Perks

• Endless learning and development opportunities, collaborating with a highly diverse and talented team, including experts in various fields (AI, Computer Vision, Government Contracting, Systems & Device Engineering, Operations, Communications, and more!)
• Options for 100% company-paid medical, dental, and vision coverage for employees and dependents (for US employees).
• Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA).
• Life, AD&D, Short and Long Term Disability Insurance.
• Aflac Critical Illness, Accident Insurance & Hospital Indemnity Insurance.
• MetLife Legal Plan(s) & Pet Insurance.
• Farmers GroupSelect Auto & Home Insurance.
• 401(k) with 3% company matching.
• Professional development reimbursement.
• Unlimited PTO.
• Hybrid work opportunities.
• Daily catered lunches at our San Francisco office.

Hayden AI is committed to creating a diverse and inclusive environment that fosters learning from each other. We celebrate individuals from diverse backgrounds, experiences, abilities, and perspectives. As an equal-opportunity employer, we are committed to