
Leading Developer of Autonomous Driving Technology
2 days ago
We are seeking a Senior Machine Learning Engineer to join our team in Singapore. As a key member of our team, you will have the opportunity to work with world-class ML engineers and research scientists who are dedicated to making self-driving vehicles a reality and creating positive social impact.
The Behaviors team develops machine learning models that learn how different agents navigate complex real-world traffic scenarios. We leverage these models to set the behavior of our self-driving vehicle and predict the behavior of other agents such as vehicles and vulnerable road users.
Responsibilities:
- You will drive project-level impact to make our autonomous vehicles operate at superhuman capabilities for comfortable, safe driving.
- You will prototype, evaluate, implement, and iterate on solutions to advance our autonomous driving capabilities.
- You will collaborate with team members to achieve project goals and milestones.
Requirements:
- Bachelor's, Master's or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience.
- In-depth understanding of common machine learning and deep learning algorithms.
- Experience designing, training, and analyzing neural networks for applications such as object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, motion prediction, and/or multi-object tracking.
- Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods.
- Fluency in Python, including standard scientific computing libraries and Python bindings development experience.
- Experience with PyTorch or other deep learning frameworks.
- Experience working with large data sets and deriving insights from data.
- Strong track record of tackling less well-defined problems and executing efficiently to deliver successful outcomes.
- Experience mentoring and collaborating with others.
Bonus Points:
- Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICLR, etc.).
- PhD in machine learning, computer vision, or robotics vision.
- Experience working on autonomous vehicles or related fields.
- Experience in deploying models into real-world environments.
- Strong programming skills in C++ and/or CUDA programming.
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