Jobs
Benefits & Perks
•Professional development budget
•Competitive salary and equity package
•Parental leave
•401(k) matching
•Team events and activities
•Learning
•Equity
•Parental Leave
Required Skills
Python
React
Node.js
Meta's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Meta are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.
Meta Reality Labs is dedicated to exploring and developing novel technologies for next-generation human-computer interaction. Our team is focused on advancing touch-based tactile sensing, including fingertip and large-area skin-based area sensor solutions. As an intern, you will contribute to the development and integration of innovative tactile sensing systems, working at the intersection of hardware, materials, and system-level design.
Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Dexterous Manipulation Sensing (PhD) Responsibilities:
- Propose novel tactile sensing system architectures to achieve high performance and high durability for Robotics
- Develop tactile sensing systems and build prototypes
- Characterize the tactile sensing system and experiment with practical use cases
- Collaboration with and support of other researchers across various disciplines
- Communication of research agenda, progress and results
Minimum Qualifications:
- Currently has, or is in the process of obtaining, a PhD in Optical Science, Materials Science, Mechanical Engineering, Physics, or a related field
- Experience in one or more types of tactile sensors such as optical, resistive, capacitive, or piezoelectric
- Experience in system-level design and prototyping of tactile sensing solutions
- Proven analytical and computational skills
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Preferred Qualifications:
- Integration of tactile sensors in robotic platforms, such as robotic hands
- Use of tactile sensors in dexterous manipulation systems and enhancing manipulation algorithms
- Programming/scripting for simulation automation (Python, MATLAB, etc.)
- Experience with sensor and imaging performance analysis and data interpretation
- Experience with the full simulation and modeling pipeline to design tactile sensors
- Proven track record of interdisciplinary research in either optics, mechanics, and materials, as demonstrated by publications, grants, or fellowships
- Intent to return to the degree program after the completion of the internship/co-op
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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