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  • The site is refreshed daily to remove out-of-date content.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.
Home View All Jobs (2,300,479)

Job Information

Meta Software Engineer, Machine Learning Specialist- PyTorch Open Source in Little Rock, Arkansas

Summary:

Meta is seeking Machine Learning Software Engineers to join our PyTorch Open Source teams. The ideal candidate will have experience developing state-of-the art neural network architectures in PyTorch as well as experience with open source software development.

Required Skills:

Software Engineer, Machine Learning Specialist- PyTorch Open Source Responsibilities:

  1. Develop state-of-the-art neural network architectures, modeling primitives, and ML techniques in PyTorch

  2. Publicize developments in the PyTorch open source community

  3. Partner with PyTorch engineers to prioritize improvements to the framework.

Minimum Qualifications:

Minimum Qualifications:

  1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

  2. 6+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD

  3. 3+ years of specialization experience in one or more of the following machine learning/deep learning domains:

  4. ML systems: AI infrastructure, machine learning accelerators, high performance computing, machine learning compilers, GPU architecture, machine learning frameworks

  5. ML theory: large scale ML, machine learning robustness experience

Preferred Qualifications:

Preferred Qualifications:

  1. Experience developing state-of-the-art neural network architectures

  2. Experience with open source software development

  3. 3+ years of PyTorch experience

Public Compensation:

$146,994/year to $208,000/year + 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.

DirectEmployers