Research Scientist Intern in Reinforcement Learning
il y a 7 jours
We are seeking highly motivated and talented individuals to join our team as Research Scientist Interns in Reinforcement Learning. As a Research Scientist Intern, you will have the opportunity to work on cutting-edge projects in reinforcement learning, developing novel algorithms and systems that leverage deep learning techniques.
Responsibilities:- Design and implement novel reinforcement learning algorithms and systems, leveraging deep learning techniques.
- Analyze and improve the efficiency, scalability, and stability of deployed algorithms.
- Conduct state-of-the-art research to advance the science and technology of machine learning and artificial intelligence.
- Collaborate with researchers and cross-functional partners to communicate research plans, progress, and results.
- Publish research results and contribute to research that can be applied to Meta product development.
- Currently pursuing or has a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Reinforcement Learning, Mathematics, or a relevant technical field.
- Solid background in the foundations of reinforcement learning.
- Ability to implement and run reinforcement learning algorithms in complex environments.
- Experience collaborating within a team to solve complex problems.
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
- Experience with Python, C++, C, Java, or other related languages.
- Experience with deep learning frameworks such as PyTorch or JAX.
- Experience building systems based on machine learning and/or deep learning methods.
- Research experience with algorithms for sequential decision-making, e.g., planning, reinforcement learning, or similar.
Meta builds technologies that help people connect, find communities, and grow businesses. We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity, or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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