
Machine Learning Visionary
2 weeks ago
The successful candidate will have the opportunity to work with world-class engineers and research scientists, whose mission is to make self-driving vehicles a reality. Our team works on the tech stack responsible for perceiving dynamic scenarios, and further tracking and classifying objects around our robo-taxi.
Key Responsibilities:- Lead the development and implementation of advanced perception algorithms for object detection, tracking, classification, and segmentation using camera, lidar, and radar data
- Connect and drive business impact through technology solutions
- Design and implement sensor fusion algorithms to combine data from multiple sensors to 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 abreast of 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 good insight from large data sets from a variety of sources
- Mentor and guide junior engineers on the team
- Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
- Strong leadership skills at executing large, complex technical initiatives
- In-depth understanding of common Machine Learning and Deep Learning algorithms
- Experience with designing, training, and analyzing neural networks for at least one of the following applications: 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 such as TensorFlow or PyTorch
- Fluency in Python, including standard scientific computing libraries and Python bindings development experience
- Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
- Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
- Excellent communication and interpersonal skills
- Experience mentoring and leading others
- Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
- Experience with launching ML products from ideation
- Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
- Experience in deploying models into real-world environments
- Strong programming skills in C++ and/or CUDA programming
We are fundamentally changing how people move through their lives by creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization.
Our team has made some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
We participate in E-Verify where required. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of protected group status under any applicable law.
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