As a Staff Deep Learning Engineer at Hayden AI, you will play a critical role in the development and refinement of a cutting-edge perception system, leveraging deep learning for real-world applications.

In Short

Drive the entire perception system development life cycle, from problem definition to deployment and ongoing improvement.
Actively contribute to the development and refinement of the perception system in a hands-on manner.
Develop robust computer vision algorithms for object detection, tracking, semantic segmentation, and classification.
Design and train 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.
Automate 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.

Requirements

Ph.D. or Master's in Robotics, Machine Learning, Computer Science, Electrical Engineering, or a related field.
Proven ability to deploy these systems with expertise in PyTorch or TensorFlow.
Strong Python programming and software design with experience in Pandas.
Experience deploying DL models to run on real-world, resource-constrained systems.
Demonstrated proficiency in data science and traditional machine learning.
Proven industry track record with experience in automated data annotation for computer vision.
Familiarity with designing multi-modal deep learning models incorporating temporal context is a plus.

Benefits

Options for medical, dental, and vision coverage for employees and dependents.
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.