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  • The site is refreshed daily to remove out-of-date content.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 (2,289,355)

Job Information

Meta Research Engineer, FAIR (London or Paris) in Paris, France

Summary:

Meta is seeking Research Engineers, at all experience levels, to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI. Research engineers in FAIR drive impact by: (1) publishing state-of-the-art research papers, (2) open sourcing high quality code and reproducible results for the community, and (3) bringing the latest research to Meta products for connecting billions of users. The chosen candidate(s) will work with a diverse and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.

Required Skills:

Research Engineer, FAIR (London or Paris) Responsibilities:

  1. Write clean and robust machine learning code

  2. Engineer, design, implement, and improve highly-scalable machine learning systems and tools for enabling research

  3. Influence progress of relevant research communities by contributing to publications

  4. Apply knowledge of relevant research domains, along with expert coding skills, to platform and framework development projects

Minimum Qualifications:

Minimum Qualifications:

  1. Master's degree in Computer Science, Computer Engineering or relevant technical field

  2. 1+ years experience with deep learning

  3. Experience developing machine learning algorithms or machine learning infrastructure in Python or C/C++

Preferred Qualifications:

Preferred Qualifications:

  1. Demonstrated research and software engineering experience via work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

  2. Co-authored high-impact publications at peer-reviewed AI conferences (e.g. NeurIPS, ICML, EMNLP, ICLR, CVPR, ICCV, ACL, Interspeech and ICASSP)

  3. Experience in open-source development

Industry: Internet

DirectEmployers