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Research Scientist, Machine Learning (PhD)

Meta

Research Scientist, Machine Learning (PhD)

Meta

Redmond, WA

·

On-site

·

Full-time

·

1mo ago

Compensation

$122,720 - $122,720

Benefits & Perks

Flexible PTO policy

Annual team offsites

Wellness benefits

Health, dental, and vision coverage

Learning and development stipend

Top Tier compensation with equity

Required Skills

PyTorch

Python

Airflow

Meta is at the forefront of a transformative change in its business and technology, and our research teams are driving this evolution. As a Research Scientist at Meta, you will have the opportunity to work on crucial projects and initiatives that have never been done before, helping to advance the way people connect around the world. You will be responsible for proactively identifying and driving changes as needed for your assigned codebase, product area, and/or systems, building strong cross-functional partnerships, and suggesting, collecting, and synthesizing requirements to create effective feature roadmaps. You will work alongside the world's leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist.As a member of our team, you will have the opportunity to apply your technical expertise to drive innovation and solve complex problems. Your experience with frameworks such as Py Torch, Tensor Flow, or equivalent, as well as your ability to translate insights into business recommendations, will be valuable assets in this role. We are looking for individuals who are passionate about building and shipping high-quality work, achieving high reliability, and working independently without guidance.

This is a Software Engineering role, and core responsibilities include coding and applied engineering work. You will be expected to write high-quality, efficient, and maintainable code, and contribute to the development of innovative software solutions. In this role, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and contribute to the development of innovative solutions that push the boundaries of scalable computing. We offer a dynamic and innovative work environment that encourages creativity and experimentation, as well as opportunities for professional growth and development. If you are passionate about driving innovation and advancing the way people connect, we encourage you to apply for this exciting opportunity.

Research Scientist, Machine Learning (PhD) Responsibilities:

  • Proactively identify and drive changes as needed for your assigned codebase, product area and/or systems
  • Build strong cross functional partnerships and code deliverables
  • Suggest, collect and synthesize requirements and create effective feature roadmaps
  • Perform specific responsibilities which vary by team

Minimum Qualifications:

  • Currently has, or is in the process of obtaining, a PhD degree or completing a postdoctoral assignment in the field of Computer Science, Computer Engineering or relevant technical field. Degree must be completed prior to joining Meta
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • Relevant experience using frameworks such as Py Torch, Tensor Flow or equivalent
  • Proven experience to translate insights into business recommendations
  • Experience building and shipping high quality work and achieving high reliability
  • Experience in systems software or algorithms
  • Experience programming in a relevant language
  • Experience identifying, designing and completing medium to large features independently, without guidance
  • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or used contributions in open source repositories (e.g. GitHub)
  • Research and/or hands-on experience in one or more of the following areas: Machine Learning, NLP, Recommendation Systems, Pattern Recognition, Data Mining, Computer Vision, Artificial Intelligence or other relevant fields
  • Experience with programming languages such as Python, R, MATLAB
  • Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as KDD, NeurIPS, ICML, WWW, ACL, ICLR, CVPR or similar
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
  • Interpersonal experience working and communicating cross functionally in a team environment
  • Exposure to architectural patterns of large scale software applications

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.
$58.65/hour to $181,000/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