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Research Scientist Intern, AI for Product Design (PhD)

Meta

Research Scientist Intern, AI for Product Design (PhD)

Meta

Sunnyvale, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$87,756 - $87,756

Benefits & Perks

Remote work flexibility

Wellness benefits

Learning and development stipend

Parental leave program

Required Skills

Airflow

Python

SQL

We are seeking a Research Intern with a background in Product or Mechanical Design, and Artificial Intelligence to join our Metaverse Display & Optics Engineering team. In this role, you will develop a custom AI product design co-pilot tool, specifically tailored for Display & Optics design in VR and Wearables products. This project aims to significantly enhance productivity and accelerate innovation within Meta's Display & Optics mechanical engineering teams by integrating common design rules, key parameters, materials databases, and Design for Manufacturability (DFM) guidelines into a next-generation, AI-powered design platform.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

Research Scientist Intern, AI for Product Design (PhD) Responsibilities:

  • Review and summarize mechanical design common Display & Optics design rules across optical systems, ET/FT, display module, and varifocal systems
  • Compile and organize materials properties and databases, including mechanical and optical characteristics
  • Design and build a custom CAD AI co-pilot module for D&O mechanical engineers
  • Integrate D&O module design rules, parameters, and materials database into the AI co-pilot
  • Incorporate FPC common design rules to enhance module functionality
  • Work closely with the Meta NX team to align on requirements and implementation.
  • Present findings, progress, and summary to stakeholders throughout the internship

Minimum Qualifications:

  • Currently has, or is in the process of obtaining a PhD in Mechanical Engineering, Product Design, Computer Science, Artificial Intelligence, or a related field
  • Demonstrated experience in advanced AI/ML models and methodologies
  • Foundation in mechanical engineering fundamentals and proven proficiency in product design, particularly with Siemens NX or other industry-standard CAD/CAE tools
  • Must obtain work authorization in the country of employment at the time of hire, and maintain on-going work authorization during employment
  • Intent to return to degree program after the completion of the internship/co-op

Preferred Qualifications:

  • Experience working and communicating cross functionally in a team environment
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences

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