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Research Scientist Intern, Multimodal Contextual AI (PhD)

Meta

Research Scientist Intern, Multimodal Contextual AI (PhD)

Meta

Redmond, WA

·

On-site

·

Full-time

·

1mo ago

Compensation

$87,756 - $87,756

Benefits & Perks

Learning and development stipend

Wellness benefits

Flexible PTO policy

Health, dental, and vision coverage

Parental leave program

Annual team offsites

Required Skills

Apache Spark

Airflow

SQL

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.

Research Scientist Intern, Multimodal Contextual AI (PhD) Responsibilities:

  • Build and characterize experimental HW+SW systems on AR devices and device prototypes
  • Develop embedded firmware and software in RTOS and mobile operating systems, e.g. AOSP
  • Collaborate with other researchers and engineers across various disciplines

Minimum Qualifications:

  • Currently has, or is in the process of obtaining a PhD in Computer Science, Electrical Engineering, or a related field
  • Programming and simulation experience with languages such as C/C++ and Python
  • Experience with computer architecture and HW/SW co-design and co-optimization
  • Must obtain work authorization in the country of employment at the time of hire, and maintain on-going work authorization during employment

Preferred Qualifications:

  • Experience in HW+SW system prototyping using embedded device prototypes and FPGAs
  • Experience in operating systems, drivers, and embedded firmware development
  • Experience working in a machine learning framework, e.g. Py Torch
  • Experience working and communicating cross functionally in a team environment
  • Demonstrated embedded software experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Intent to return to degree-program after the completion of the internship/co-op
  • 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

About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
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.
$7,313/month to $12,134/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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About Meta

Meta

Meta

Public

A social technology company that enables people to connect, find communities, and grow businesses.

10,001+

Employees

Menlo Park

Headquarters

$800B

Valuation

Reviews

3.4

26 reviews

Work Life Balance

2.3

Compensation

4.2

Culture

2.8

Career

3.1

Management

2.1

45%

Recommend to a Friend

Pros

Excellent compensation and benefits

Smart and talented colleagues

Fast-paced and challenging work environment

Cons

Frequent layoffs and job insecurity

Poor leadership and management accountability

High stress and competitive work environment

Salary Ranges

40,175 data points

Mid/L4

Mid/L4 · Data Scientist

3,113 reports

$284,667

total / year

Base

$179,458

Stock

$79,981

Bonus

$25,228

$193,897

$434,902

Interview Experience

6 interviews

Difficulty

4.2

/ 5

Duration

21-35 weeks

Offer Rate

17%

Experience

Positive 17%

Neutral 17%

Negative 66%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Coding Interviews

6

System Design Interview

7

Behavioral Interview

8

Final Loop/Hiring Manager Round

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Live Coding