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Benefits & Perks
•Competitive salary and equity package
•Parental leave
•Professional development budget
•Comprehensive health, dental, and vision insurance
•Equity
•Parental Leave
•Learning
•Healthcare
Required Skills
Python
Node.js
React
Meta Reality Labs brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR that are so compelling that they become an integral part of our lives.
Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Computational Chemist (PhD) Responsibilities:
- Collaborate with the larger Meta Reality Labs Research team to explore novel solution space for AR/VR devices
- Collaborate with the larger Fundamental AI Research team to train and utilize AI models for materials discovery and candidate material identification
- Explore & propose various approaches of first-principle simulations to understand the optical, electronic or mechanical properties of crystalline systems with complex interactions and external perturbations
- Conduct independent research and explore the broader application space given simulation results
- Contribute to and utilize internal/external tools to perform large-scale simulations
- collect & analyze results to guide further iterations to refine simulation pipelines
- Publish research results internally and contribute to solving other challenges that can be applied to Meta product development
Minimum Qualifications:
- Currently has or is in the process of obtaining a Ph.D. degree in Materials Science & Engineering, Physics, Chemistry, or relevant technical fields
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
- 3+ years of experience in at least one of the following areas of research: first-principle simulations especially DFT, DFPT, GW-BSE, CCSD, for atomistic systems at scale
- 3+ years of experience studying atomistic systems with machine learning
- 3+ years of experience with programming languages such as Python, C++
- Intent to return to the degree program after the completion of the internship/co-op
Preferred Qualifications:
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops and/or conferences such as APS, ACS and similar
- Experience working and communicating cross functionally in a team environment
- Experience with user-oriented productionization of AI agents/services
- Experience with large-scale materials database establishment
- Experience with training generative models to produce atomistic structures
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
PublicA 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
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