Summary:

Reality Labs Research is looking for an intern to help us develop the next generation assistance systems that guide the users in contextual and adaptive future AR/VR systems. In particular, we are seeking candidates who have experience with either of the following: embodied AI, reinforcement learning, representation learning, planning, multimodal learning, video understanding.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Some projects may require a minimum of 16 consecutive weeks.

Required Skills:

Research Scientist Intern, AI and Machine Learning (PhD) Responsibilities:

1. Plan and execute cutting-edge research on developing novel embodied AI algorithms that can learn AR assistance policies in long-tailed and complex interaction tasks prevalent in everyday life.

2. Leverage state-of-the-art (SOTA) embodied AI simulators and RL/DRL, neuro-symbolic, AI planning, robotics or stochastic programming methods to train and test policy models.

3. Work towards taking on big problems and deliver clear, compelling, and creative solutions to solve them at scale. This is an exciting opportunity to conduct SOTA research while collaborating with other researchers, and engineers to develop, prototype, and test different AI/ML models at-scale for real-world interactive applications.

4. Successful internships will also lead to publishable outcomes in top-tier journals or at leading international conferences.

Minimum Qualifications:

Minimum Qualifications:

5. Currently has, or is in the process of obtaining, a PhD in machine learning, artificial intelligence (AI), robotics, algorithms, computational mathematics or a related fields.

6. Proven research skills involving defining problems, exploring solutions, and analyzing and presenting results.

7. 2+ years of experience in python and in using machine learning libraries (numpy, scikit-learn, scipy, pandas, matplotlib, tensorflow, pytorch).

8. Deep understanding of at least one of the following areas (Transfer/ few-shot/ zero-shot/ continual/ online learning, Self-supervised learning, or Multi- or cross-modal learning, Reinforcement learning, Planning).

9. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

10. Interpersonal experience: cross-group and cross-culture collaboration.

Preferred Qualifications:

Preferred Qualifications:

11. 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 CVPR, ICCV, ICML, NeurIPS, IJCAI, AAAI, AAMAS, EECV, ICLR, ICRA, IROS, RSS, CoRL etc).

12. Experience working and communicating cross functionally in a team environment.

13. Intent to return to degree-program after the completion of the internship/co-op.

14. Availability for minimum 16 consecutive week internship.

Public Compensation:

$7,800/month to $11,293/month + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment 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. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta 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.