Research Scientist

Meta; Salem (OR); Remote; USD 232,000 - 291,000; Full time

Job summary

A leading technology company is seeking a PhD-level candidate to develop software solutions and optimize algorithms. Responsibilities include implementing distributed systems and conducting cutting-edge research in machine learning and related fields. Competitive salary of $232,652 to $290,180, plus bonus, equity, and benefits. This position allows for telecommuting from anywhere in the U.S.

Qualifications

• PhD in Computer Science, Engineering, Information Systems, or a related field.
• Experience with algorithms and data structures.
• Research experience in machine learning or related areas.

Responsibilities

• Develop solutions to software/hardware problems.
• Optimize algorithms for performance improvement.
• Implement distributed software systems.

Skills

Algorithms

Machine learning

Data analysis

Java

C++

Python

NLP

Signal processing

Artificial intelligence

Education

Doctorate degree in Computer Science or related field

Tools

Java

C++

Python

Perl

PHP

Job description

Overview

Summary:

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp 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. To apply, click “Apply to Job” online on this web page.

Responsibilities

1. Perform research and develop solutions to computer software and computer hardware problems.

2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta’s platforms.

3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.

4. Utilize technical research background, train new ranking models, and run experiments.

5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.

6. Use machine learning, statistics, or other data techniques to build algorithms.

7. Sugguest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.

8. Analyze and resolve computer challenges from a system engineering standpoint.

9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.

10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

11. Telecommute from anywhere in the U.S.

12. Permitted.

Minimum Qualifications

1. Requires a Doctorate degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field

2. Position also requires completion of a university-level course, research project, internship, or thesis in the following:

3. Algorithms, data structures, or systems software

4. Solving analytical problems using quantitative approaches

5. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources

6. Communicating complex research in a clear, precise, and actionable manner

7. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision

8. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines

9. Devising better data-driven models of human behavior

10. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models

11. Java, C++, Perl, PHP, or Python

Public Compensation: $232,652/year to $290,180/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

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 [e-mail].