
Autonomous Perception Specialist
3 days ago
We are seeking an advanced machine learning engineer to join our perception team. This role will provide the opportunity to work with world-class engineers and research scientists on cutting-edge projects.
Key Responsibilities:
- Develop and implement perception algorithms for object detection, tracking, classification, and segmentation using camera, lidar, and radar data.
- Create sensor fusion algorithms to combine data from multiple sensors and create a robust and accurate perception system.
- Optimize perception algorithms for real-time performance on embedded hardware.
- Collaborate with other engineers and teams to integrate perception systems into larger autonomous systems.
- Stay updated on the latest research and advancements in machine learning and computer vision and apply them to real-world problems.
- Productionize and deploy solutions onto autonomous vehicle fleets.
- Derive valuable insights from large data sets from various sources.
- Mentor junior engineers on the team.
Requirements:
- A master's or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics, or a related field.
- Strong leadership skills in executing complex technical initiatives.
- An in-depth understanding of common machine learning and deep learning algorithms.
- Experience with designing, training, and analyzing neural networks for applications such as object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception.
- Experience with deep learning frameworks like TensorFlow or PyTorch.
- Fluency in Python, including standard scientific computing libraries and Python bindings development experience.
- A proven track record of developing and deploying perception systems for autonomous vehicles or robotics.
- Advanced knowledge of software engineering principles, including design, source control management, build processes, code reviews, testing methods.
- Excellent communication and interpersonal skills.
- Experience mentoring and leading others.
Preferred Skills:
- Experience with embedded systems and real-time optimization, especially in the autonomous driving industry.
- Experience launching ML products from ideation.
- A proven track record of publications in relevant conferences.
- Experience deploying models into real-world environments.
- Strong programming skills in C++ and/or CUDA programming.
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