Deep Learning Engineer - Prediction & Policy
Posted Jun 4 · 0 applicants
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The role in plain words
This role focuses on building the AI-driven decision-making core of autonomous driving technology. You will design, train, and deploy deep learning models to handle high-level prediction and driving policy. Day-to-day tasks involve using PyTorch and Python to translate research into production-grade models that optimize decision-making under uncertainty.
- M.Sc. or Ph.D. in Computer Science, Data Science, Electrical Engineering, or a related quantitative field with a focus on Deep Learning
- 3+ years of hands-on experience designing and training complex Deep Learning models
- PyTorch
- Python
- Proven track record of leveraging massive datasets to solve open-ended AI challenges and translating research into production-grade models
Extracted from the job description · kept up to date automatically
Who this suits
This role suits individuals with an advanced degree (M.Sc. or Ph.D.) and at least 3 years of hands-on experience designing and training complex deep learning models using PyTorch. It is less ideal for those without a strong background in Python programming or experience working with massive datasets for AI challenges.
Full job description
Original listing · kept for referenceWe are looking for an exceptional Deep Learning Engineer to join our core autonomy team. In this role, you will be responsible for building the AI-driven "brain" of our autonomous driving technology. Your focus will be on designing, training, and deploying state-of-the-art Deep Learning models that handle high-level prediction and driving policy. You will solve complex, real-world challenges by leveraging advanced neural network architectures to optimize decision-making under high uncertainty.
Requirements: • Education: M.Sc. or Ph.D. in Computer Science, Data Science, Electrical Engineering, or a related quantitative field with a focus on Deep Learning. • Deep Learning Expertise: 3+ years of hands-on experience designing and training complex Deep Learning models. • Frameworks: Strong proficiency with PyTorch . • Strong Coding: Exceptional programming skills in Python. • Data-Driven Problem Solver: Proven track record of leveraging massive datasets to solve open-ended AI challenges and translating research into production-grade models.
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- M.Sc. or Ph.D. in Computer Science, Data Science, Electrical Engineering, or a related quantitative field with a focus on Deep Learning, 3+ years of hands-on experience designing and training complex Deep Learning models, PyTorch, Python, Proven track record of leveraging massive datasets to solve open-ended AI challenges and translating research into production-grade models