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  • The site is refreshed daily to remove out-of-date content.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

Google Research Scientist, Foundational Machine Learning, Google Research in Sydney, Australia

At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google’s technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan (https://reconciliationactionplan.withgoogle.com/) for more information.

Minimum qualifications:

  • PhD in Computer Science, a related technical field, or equivalent practical experience

  • 2 years of experience in Machine Learning (ML), ML Efficiency, ML Optimization, or a related field.

  • Experience contributing to research communities including publishing in forums (e.g., ICML, ICLR, NeurIPS, or related)

  • Experience with programming languages (e.g., Python or C/C++)

Preferred qualifications:

  • Experience in theoretical and empirical research and abstracting and solving impactful research problems

  • Ability to take initiative and drive new research ideas from problem abstraction, designing solution, experimentation, to productionization in a rapidly shifting landscape

  • Excellent technical leadership and communication skills to conduct multi-team, cross-function collaborations

  • Passion for deep/machine learning, computational statistics, and applied mathematics

As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

As a Research Scientist, you will participate in research in the domain of deep learning and large models. Potential areas of interest include development of new systems/architectures to improve capability of large foundational models, novel optimization algorithms to improve training and generalization of large models, advances to make inference with foundational models more efficient and flexible including knowledge adoption and distillation techniques, and novel Reinforcement Learning (RL) and similar techniques to make the models more safe, robust, and reliable.

In this role, you will have opportunities to collaborate with teams, enabling fundamental breakthroughs, and influencing next-generation AI-infused products reaching users.

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

  • Abstract out key problems in the above mentioned areas, design elegant and deep solutions for these problems through theoretical and/or empirical insights, and build out prototypes/demos to showcase effectiveness of the designed solution.

  • Lead and collaborate with research teams located across the globe.

  • Drive and grow collaborations with product teams to land product innovations.

  • Amplify impact and influence the research ecosystem through publications and scientific dissemination.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

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