Research Scientist Intern, AI Sequential Decision-Making (PhD)
Meta

Job Info

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Meta is seeking Research Interns within Core ML, with a focus on sequential decision-making (planning, reinforcement learning, etc.). We are committed to making fundamental advances in artificial intelligence technologies that can be applied to Augmented Reality. Our interns have an opportunity to make core algorithmic advances and have their ideas applied to Meta products at an unprecedented scale. The primary outcome of internships will be a publication based on research conducted on open source environments/datasets.Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit https://research.facebook.com.

Research Scientist Intern, AI Sequential Decision-Making (PhD) Responsibilities:

• Perform fundamental and applied research to push the scientific and technological frontiers of decision-making.
• Invent/improve novel algorithms for planning and reinforcement learning.
• Enable long-horizon reasoning for decision-making tasks (e.g., games, control tasks, navigation, manipulation).
• Investigate paradigms that can deliver a spectrum of behaviors relevant to Reality Labs technologies - from goal-conditioned to reward-based formulations, model-based to model-free algorithms, neural to symbolic representations, etc.
• Topics may include (but are not limited to) using foundational models for decision making, learning plannable representations, hierarchical reinforcement learning via manager-worker abstractions, and abstraction in multimodal RL. A concrete focus will be decided based on the intern's strengths and research interests.

Minimum Qualifications:

• Currently has, or is in the process of obtaining, a PhD in the field of Artificial Intelligence.
• Research experience with algorithms for sequential decision-making, e.g., planning, reinforcement learning, or similar.
• Experience with deep learning frameworks such as Pytorch or Tensorflow. Experience with C, C++, or Python.
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

Preferred Qualifications:

• Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, AAAI, ACL or similar.
• Experience building systems based on machine learning / deep learning methods.
• Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources.
• Intent to return to the degree program after the completion of the internship/co-op.

Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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