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Research Scientist Intern, Embedded Contextual AI on Wearables (PhD)

Meta

Redmond, WA

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JOB DETAILS
SKILLS
Accounts Receivable, Accounts Receivable Software, Artificial Intelligence (AI), C Programming Language, C++ Programming Language, Computer Architecture, Computer Firmware, Computer Hardware, Computer Music and Audio, Computer Science, Computer Skills, Computer Vision, Conferences, Cross-Functional, Device Drivers, Electrical Engineering, Embedded Software, Embedded Systems, FPGA, Fellowship, GitHub, Machine Learning, Mobile Operating System, Modeling Languages, Open Source, Operating Systems, Patents, Prototyping, Publications, Python Programming/Scripting Language, Realtime Operating System, Scientific Research, Simulation, Software Design, Software Development, Software Prototyping, Wearables
LOCATION
Redmond, WA
POSTED
30+ days ago
**Summary:** At Reality Labs, our team brings novel experiences to life on Meta's AR devices. We are seeking upcoming scientists and researchers with great interest in real-time embedded software development and hardware acceleration to enable on-device contextual AI within the performance, power and form-factor constraints of AR glasses.Within the vast domain of contextual AI, we are currently focusing on three key areas: computer vision, audio interaction, and large language models. As a Research Scientist intern, you will help us advance the state-of-the-art in one or more of these areas.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. **Required Skills:** Research Scientist Intern, Embedded Contextual AI on Wearables (PhD) Responsibilities: 1. Build and characterize experimental HW+SW systems on AR devices and device prototypes 2. Develop embedded firmware and software in RTOS and mobile operating systems, e.g. AOSP 3. Collaborate with other researchers and engineers across various disciplines **Minimum Qualifications:** Minimum Qualifications: 4. Currently has, or is in the process of obtaining a PhD in Computer Science, Electrical Engineering, or a related field 5. Programming and simulation experience with languages such as C/C++ and Python 6. Experience with computer architecture and HW/SW co-design and co-optimization 7. Must obtain work authorization in the country of employment at the time of hire, and maintain on-going work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 8. Experience in HW+SW system prototyping using embedded device prototypes and FPGAs 9. Experience in operating systems, drivers, and embedded firmware development 10. Experience working in a machine learning framework, e.g. PyTorch 11. Experience working and communicating cross functionally in a team environment 12. Demonstrated embedded software experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) 13. Intent to return to degree-program after the completion of the internship/co-op 14. 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, ECCV/ICCV, SIGGRAPH, or similar **Public Compensation:** $7,313/month to $12,134/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@meta.com.

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Meta

INDUSTRY
Other/Not Classified

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