Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

Meta Research Scientist in New York, New York

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.

Required Skills:

Research Scientist 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. Suggest, 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.

Minimum Qualifications:

Minimum Qualifications:

  1. Requires a PhD degree in Computer Science, Engineering, Information Systems, Information Sciences and Technology, Analytics, Mathematics, Physics, Applied Sciences, or a related field. Requires completion of a university-level course, research project, internship, or thesis in the following:

  2. Algorithms, data structures, or systems software

  3. Solving analytical problems using quantitative approaches

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

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

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

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

  8. Devising better data-driven models of human behavior

  9. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU

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

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

Public Compensation:

$225,396/year to $240,240/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 accommodations-ext@fb.com.

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