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Applied Research Scientist - Physics Simulations & Controls

Meta

Applied Research Scientist - Physics Simulations & Controls

Meta

Redmond, WA

·

On-site

·

Full-time

·

1mo ago

Compensation

$154,000 - $154,000

Benefits & Perks

Professional development budget

Team events and activities

Generous paid time off and holidays

401(k) matching

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

Learning

Equity

Healthcare

Required Skills

PostgreSQL

Python

JavaScript

At Reality Labs Research (RL-R), our goal is to explore, innovate and design novel interfaces and hardware subsystems for the next generation of virtual, augmented, and mixed reality experiences.We are seeking an applied research scientist and research engineer with a background in computational mathematics and physics simulation to join our team within Meta's Reality Lab Research. As a member of our research group, the candidate will play a crucial role in developing a large-scale software library for physics simulations that will drive innovation in robotics and embodied AI applications.

You will leverage your expertise in software engineering, computational mathematics, and physics simulations to design, develop, and optimize simulation tools that will enable the development of controls for embodied agents in the physical world. You'll work closely with a team of researchers and engineers to develop state-of-the-art simulators and are expected to operate across low-level high-performance software development as well as high-level architectural design.

Applied Research Scientist

Physics Simulations & Controls Responsibilities:

  • Lead complex software system integration and development
  • Implement state-of-the-art algorithms for numerical linear algebra, PDEs, optimization/dynamic programming/RL
  • Collaborate with cross-functional teams to identify and prioritize project requirements
  • Develop and maintain high-quality, efficient, and scalable code
  • Participate in code reviews and contribute to the development of best practices

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Ph.D. in Computer Science, Computational Mathematics, Computational Mechanics, or relevant degree and 3+ years experience in large scale computational mathematics/physics software
  • 3+ years experience with developing high performance computing solutions in C++
  • 3+ years experience with parallel computing on CPU and GPUs
  • 3+ years experience with physics simulations

Preferred Qualifications:

  • Experience with state-of-the-art simulation libraries
  • Experience with controls theory and training embodied agents in physical interactions
  • Experience with differentiable physics/PDE constrained optimization
  • Experience with dimensionality reduction and reduced order modeling

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.

$154,000/year to $217,000/year + bonus + equity + 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