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  • The site is refreshed daily to remove out-of-date content.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 PLATFORMS, INC. (f/k/a Facebook, Inc.) Research Scientist in Bellevue, Washington

Employer:           META PLATFORMS, INC. (f/k/a Facebook, Inc.)

Job Title:             Research Scientist

Job Code:            REQ-2404-136351

Job Location:      Bellevue, Washington

Job Type:             Full-time, 9am -- 6pm, 40 hours a week, Monday -- Friday

Salary:                  $175,548.00/year to $200,200.00/year+ bonus + equity + benefits.

 

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus or equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta at this link: https://www.metacareers.com/facebook-life/benefits.

 

Duties:

 

Perform research and develop solutions to computer software and computer hardware problems. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure. Utilize technical research background, train new ranking models, and run experiments. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure. Use machine learning, statistics, or other data techniques to build algorithms. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps. Analyze and resolve computer challenges from a system engineering standpoint. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

 

Requirements:

 

Requires a Master's degree in Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field. Requires completion of a university-level course, research project, internship, or thesis in the following: 1. Algorithms, data structures, or systems software; 2. Solving analytical problems using quantitative approaches; 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources; 4. Communicating complex research in a clear, precise, and actionable manner; 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision; 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines; 7. Devising better data-driven models of human behavior; 8. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU; 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models; 10. Java, C++, Perl, PHP, or Python.

To apply, please send resume to the following email address  SWApplicant@meta.com & include the job order number visible to you above in the subject line of the email. It is important to include the job order number in the subject line of the email. Also include the Ref code number:

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