Machine Learning Engineering Intern
vor 8 Monaten
We are looking for a Machine Learning Engineering Intern - Autonomous Driving With the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world, intelligent, autonomous machines are no longer pure science fiction. This is why we are looking for passionate, hard-working and creative people to help us make autonomous driving a reality NVIDIA is seeking a Machine Learning Engineering Intern to research and implement next generation algorithms and data-driven technologies, handling massive amounts of data in the AV data processing pipeline. Join us and help shape the future of AI.
What You'll Be Doing:
- Research, implement and evaluate machine learning, image analysis, and data-driven algorithms to help with collecting, organizing, and mining massive amounts of unlabeled data.- Help with making your solutions available to users in production environments.- You will gain hands-on experience with developing real-world ML pipelines for autonomous driving.- Interact and collaborate with global teams to reach your goals.
What We Need To See:
- Pursuing a MS or PhD level education in Engineering or Computer Science with a focus on Deep Learning, Artificial Intelligence or related field.- Drive to tackle real-world software engineering problems and to design scalable large-scale systems.-
- You have a good mathematical understanding of common AI algorithms.- Strong Python programming experience with software design skills.- Self-motivation combined with team spirit and the urge to learn new things and solve hard problems.
Ways To Stand Out From The Crowd:- Experience with large language models, especially translating from natural text into structured query languages.- Experience with Active Learning, hard example mining or other state-of-the-art data mining techniques.- Publications at international relevant conferences (CVPR, NeurIPS, ICLR, ICML, ACL etc.)
NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you.
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