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.

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  • 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 Visiting Researcher (PhD), FAIR in Paris, France

Summary:

Meta is seeking a Visiting Researcher through a short term contract to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI. Individuals in this role are expected to be passionate about producing new science that is seminal to understanding intelligence, and more specifically about building and analyzing models for vision, language, speech, or general agents. The chosen candidate will work with a diverse and highly interdisciplinary team of scientists, engineers, and cross-functional partners, will have access to cutting edge technology, resources, and research facilities, and will have ample opportunities to disseminate their work publicly.

Required Skills:

Visiting Researcher (PhD), FAIR Responsibilities:

  1. Perform research to advance the science and technology of intelligent machines.

  2. Perform research that enables learning the semantics of data (images, video, text, and other modalities).

  3. Develop algorithms and models based on state-of-the-art machine learning advancements.

Minimum Qualifications:

Minimum Qualifications:

  1. Currently has or is in the process of obtaining a PhD degree in the field of Computer Science, relevant technical field, or equivalent practical experience.

  2. Experience solving analytical problems using quantitative approaches.

  3. Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.

  4. Experience in machine learning and optimization.

  5. Familiarity with deep learning libraries like PyTorch.

  6. Publications in peer-reviewed AI conferences (e.g. CVPR, ECCV, ICCV, NeurIPS, ICLR, or SIGGRAPH, etc.).

  7. Experience in theoretical and empirical research and in addressing research problems.

Preferred Qualifications:

Preferred Qualifications:

  1. Experience with communicating complex research in a clear, precise, and actionable manner.

  2. First author publications at peer-reviewed AI conferences (e.g. CVPR, ECCV, ICCV, NeurIPS, ICLR, or SIGGRAPH, etc.).

  3. Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions.

  4. Experience solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward.

  5. Experience working and communicating cross functionally in a team environment.

  6. Experience communicating research for public audiences of peers.

Industry: Internet

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