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  • The site is refreshed daily to remove out-of-date content.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.
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Meta Platforms, Inc. Software Engineer, Machine Learning in New York, New York

Employer: META PLATFORMS, INC. (f/k/a Facebook, Inc.)Job Title: Software Engineer, Machine LearningJob Code: REQ-2404-135726Job Location: New York, New YorkJob Type: Full-time, 9am - 6pm, 40 hours a week, Monday - FridaySalary: $227,713/year to $240,240/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: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads/feed/search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models. Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools. Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques. Receiving general instruction from supervisor, code deliverables in tandem with the engineering team. Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).Requirements: Requires a Master’s degree in Computer Science, Computer Software, Computer Engineering, Applied Sciences, Mathematics, Physics, or related field and three years of work experience in the job offered or in a computer-related occupation. Requires three years of experience in the following: 1. Machine Learning Framework(s): PyTorch, MXNet, or Tensorflow; 2. Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems; 3. Translating insights into business recommendations; 4. Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, or Spark; 5. Scripting languages: Perl, Python, PHP, or shell scripts; 6. Python, PHP, or Haskell; 7. Relational databases and SQL; 8. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce); 9. Linux, UNIX, or other *nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting; 10. Build highly-scalable performant solutions; 11. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction; 12. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems; 13. Distributed systems.

Minimum Salary: 227,713 Maximum Salary: 240,240 Salary Unit: Yearly

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