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Summary:

We are seeking a highly motivated and experienced Machine Learning Research Scientist with a background in Computer Vision to join our team. The successful candidate will work on developing state-of-the-art multimodal sensory dexterity manipulation foundation models for robotics control policy learning.

Required Skills:

Research Scientist, Machine Learning for Sensing Signal Modeling (PhD) Responsibilities:

1. Develop and implement novel computer vision and machine learning algorithms for multi-modal dexterity manipulation foundational models

2. Work with researchers, designers, engineers, and other roles, to explore and enable high-value applications in AR/VR, robotics and test critical hypotheses

3. Collaborate with a team of researchers and engineers to develop and deploy new models, techniques, demos

4. Contribute to the development of research papers and presentations

5. Stay up-to-date with the latest advancements in machine learning, computer vision, signal processing and deep learning

6. Produce high-quality, well-documented code to implement and evaluate new algorithms

Minimum Qualifications:

Minimum Qualifications:

7. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

8. Currently has, or is in the process of obtaining, PhD degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

9. 4+ years of experience in machine learning, computer vision projects

10. Hands-on experience with PyTorch frameworks, and applied knowledge to design, develop, and implement artificial intelligence and machine learning solutions

11. Proficient in one or more programming languages, such as Python or C++

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

Preferred Qualifications:

Preferred Qualifications:

13. Background in multi-modal learning

14. Experience with robotics control policy learning

15. Experience with reinforcement learning

16. Experience with human pose or hand pose tracking

17. Experience with large-scale dataset preparation and management

18. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences in computer vision, machine learning, or human-computer interaction

19. Experience in wearable sensors / systems and non-CV signals processing e.g. EMG, IMU, EIT

20. Experience working and communicating cross-functionally in a team environment

Public Compensation:

$117,000/year to $173,000/year + bonus + equity + 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 [email protected].