Summary:

Meta Reality Labs Research is looking for upcoming scientists and researchers with great interest in algorithm/hardware co-design and acceleration of AI machine learning applications, efficient sensing, and ML algorithms for AR/VR applications. Our team specializes in developing state-of-the-art hardware optimized algorithms for machine perception. With the vision of metaverse, our team is focusing on cutting edge systems that can facilitate AI assistants. This internship will focus on aspects of foundational AI technologies around multimodal understanding (audio, visual, spatial, etc), multitasking, privacy, or others that support AI assistant functionalities.Our internships are sixteen (16) to twenty-four (24) weeks long and we have various start dates throughout the year.

Required Skills:

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

1. Research on design / model / execution of efficient ML algorithm on hardware architectures

2. Research on novel ML or computational imaging algorithms for applications and optimize existing algorithms

3. Research on development and optimization of edge computing algorithms (ML and non-ML)

4. Collaboration with and support of other researchers across various disciplines

5. Communication of research agenda, progress and results

6. Prototyping, building and characterizing experimental systems and custom hardware

Minimum Qualifications:

Minimum Qualifications:

7. Currently has, or is in the process of obtaining a PhD in the fields of Computer Science, Electrical Engineering, or related field

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

9. 2+ years research experience in one or more of the following: Developing machine learning and computer vision models, Optimization of edge computing algorithms, Distributed compute architectures

10. 2+ years experience programming in Python/C++

11. Experience with Deep Learning frameworks (Pytorch, TensorFlow, etc)

12. Interpersonal skills: cross-group and cross-culture collaboration

Preferred Qualifications:

Preferred Qualifications:

13. Experience in multimodal ML algorithms (object detection, classification, tracking, keyword spotting, ASR, etc)

14. Experience in deploying ML algorithms to embedded HW (Raspberry Pi, NVidia Jetson, FPGA, etc.)

15. Experience w/ LLM is a plus

16. Experience w/ NAS or developing and deploying algorithms with hardware constraints is a plus

17. Experience in privacy preserving ML algorithms

18. Proven track record of achieving significant results, as demonstrated by first- and/or co-authored publications at leading workshops or conference (e.g., CVPR, ICCV, TinyML, NeurIPS, ICML), patents, or grants

19. Intent to return to degree program after the completion of the internship.

Public Compensation:

$7,313/month to $11,333/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.