Research Scientist Intern, Ultra-Low Power Audio Processing System (PhD)

Summary:

Meta Reality Labs (RL) is the world leader in the design of virtual and augmented reality systems. The RL Silicon Research Team is looking for exceptional interns to help us create the next-generation experiences in virtual and augmented reality. Our Silicon research and development focuses on exploring new circuit design techniques, architectures and technologies for future AR products. We are looking for students interested in architecting custom or semi-custom hardware to implement speech and voice detection models that maximize performance under fixed power and resource constraints. The ideal candidate will have a full stack understanding of machine learning systems from architecture down to hardware implementation and technology.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, Ultra-Low Power Audio Processing System (PhD) Responsibilities:

1. Own a research project in the field of low power integrated circuits and systems for signal processing and machine learning applications.

2. Work with Silicon research teams to develop new architectures, run internal workloads and research design techniques.

3. Evaluate, prototype and estimate performance benefits of proposed techniques.

4. Collaborate with and support other researchers across various disciplines.

5. Work with cross-functional teams to enable new user experiences in AR/VR via innovative system-level experiments.

6. Contribute to execution of our silicon technology / compute roadmap to make advances in performance, power consumption and form factor.

7. Communication of research agenda, progress and results, both internally and externally.

Minimum Qualifications:

Minimum Qualifications

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

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

3. Experience in the architecture and design of digital SoC or analog/mixed-signal processing circuits using low-power techniques and industry-standard EDA tools.

4. 1+ years experience in developing solutions using machine learning and/or deep learning frameworks.

Preferred Qualifications:

Preferred Qualifications

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

2. Signal processing experience with voice and speech recognition applications.

3. Familiarity with the microelectronic technology of MEMS microphone sensors.

4. 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 ISSCC, VLSI Symposium, ESSCIRC, tinyML Symposium, ICASSP or similar.

5. Hands-on relevant experience via internships, employment, coding competitions, chip tape outs.

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

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 ~~~.