Jobs
Benefits & Perks
•Remote work flexibility
•Wellness benefits
•Health, dental, and vision coverage
•Top Tier compensation with equity
Required Skills
Apache Spark
Airflow
TensorFlow
Reality Labs (RL) is responsible for delivering Meta's vision of the next generation of wearable XR systems to enable the next great wave of human-oriented computing. We are seeking a Research Scientist Intern to work with our teams in areas of modeling and analysis of signal and power integrity, focusing on the application of artificial intelligence (AI) and machine learning (ML) techniques. This role will be responsible for developing and implementing AI-driven solutions to model, analyze, optimize, and improve signal and power integrity of complex electronic systems at board, package and die levels. Our internships are twelve (12) to twenty-four (24) weeks long and have various start dates throughout the year.
Research Scientist Intern, AI Signal and Power Integrity Responsibilities:
- Develop and apply AI and ML models to simulate, analyze, and predict signal and power integrity issues in electronic systems
- Enable AI driven electromagnetic analysis of packages and boards to automatically extract scattering parameters to develop models for system signal and power integrity analysis
- Design and implement experiments to validate AI-driven signal and power integrity analysis and optimization techniques
- Develop algorithms and models to optimize signal and power integrity in high-speed digital systems
- Implement and apply AI model for signal and power integrity analysis
- Work with hardware design teams to integrate AI-driven signal and power integrity analysis and optimization tools into the design flow
- Collaborate with cross-functional teams to identify and prioritize research areas and develop solutions
- Publish research findings in top-tier conferences and journals
- Stay up-to-date with the latest developments in AI, ML, and signal and power integrity research
Minimum Qualifications:
- Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or relevant technical field
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
- Strong background in signal and power integrity analysis and optimization
- Proven experience with AI and ML techniques, such as deep learning, neural networks, and optimization algorithms
- Proficiency in programming languages such as Python, C++, or MATLAB
- Experience with simulation tools such as SPICE, Power SI, HFSS, or ADS
- Intent to return to degree program after the completion of the internship/co-op
Preferred Qualifications:
- Familiarity with high-speed digital design and signal integrity analysis tools
- Experience with AI frameworks such as Tensor Flow, Py Torch, or Keras
- Knowledge of electromagnetic theory and high-frequency circuit analysis
- Experience working and communicating cross functionally in a team environment
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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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%
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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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