Engineering Manager, Deep Learning

At Hayden AI, we are on a mission to harness the power of artificial intelligence and machine learning to transform the way governments and businesses address real-world challenges.

From optimizing bus lane and bus stop enforcement to pioneering digital twin modeling and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive forward a sustainable future.

As an Engineering Manager, you will lead the development and refinement of a cutting-edge perception system, leveraging deep learning for real-world applications. Your expertise in computer vision, deep learning, and team leadership will drive performance improvements and seamless integration across the company.

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. 

Qualifications

• 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.

There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in a wide range of fields (AI, Computer Vision, Government Contracting, Systems & Device Engineering, Operations, Communications, and more!)

• Options for medical, dental, and vision coverage for employees and dependents (for US employees)

• Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)

• 401(k) with 3% company matching

• Unlimited PTO

• Daily catered lunches in our San Francisco office

At Hayden AI, we are committed to creating an inclusive and diverse workplace where everyone is treated with respect and dignity. We believe that our differences make us stronger and drive innovation. As an equal opportunity employer, we do not discriminate against any employee or applicant based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status. We are dedicated to fostering a work environment that celebrates diversity and ensures that every individual has the opportunity to contribute to our mission and achieve their full potential. 

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