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  • The site is refreshed daily to remove out-of-date content.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 (2,276,670)

Job Information

Microsoft Corporation Internship Opportunities: AI4Science Research Internship - Reinforcement Learning & Drug Discovery in Cambridge, United Kingdom

Over the coming decade, deep learning looks set to have a transformational impact on the natural sciences. The consequences are potentially far-reaching and could dramatically improve our ability to model and predict natural phenomena over widely varying scales of space and time. Our AI4Science (https://www.microsoft.com/en-us/research/lab/microsoft-research-ai4science/) team encompasses world-leading experts in machine learning, computational chemistry, material science, quantum physics, molecular biology, software engineering, and other disciplines, who are working together to tackle some of the most pressing challenges in this field.

We are seeking an intern to contribute to a program of research at the intersection of reinforcement learning and chemistry. This is an exceptional opportunity to drive ambitious research in a highly collaborative, diverse and global team of other researchers and engineers, to push the state of the art in deep learning for the natural sciences.

Responsibilities

  • Contribute to a high-impact research agenda within the context of a highly collaborative research culture alongside a team of experts in machine learning and scientific research.

  • Write robust machine learning research code to test new approaches or develop novel theoretical and practical insights for machine learning in the natural sciences.

  • Communicate research findings to an interdisciplinary research team.

  • Prepare technical papers, presentations, and open-source releases of research code.

Qualifications

Required Qualifications: _ _ _ _

  • Understanding and research experience in machine learning and/or reinforcement learning,demonstrated for example through research in a related PhD program and/or publications in ML conferences or scientific journals.

  • Interns are expected to be physically located in their manager's Microsoft worksite location for the duration of their internship. 

  • Demonstrable understanding and hands-on experience in using deep learning frameworks.

Preferred Qualifications:

  • Practical experience working with deep learning frameworks and scientific data.

  • Ability to write good quality code in Python, as well as familiarity with Git and code reviews.

  • Desire to see research have real-world impact.

  • Demonstrable ability to work and learn in an interdisciplinary collaborative environment, evidenced by effective communication of technical concepts to people from different technical backgrounds.

  • Good communication skills.

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .

DirectEmployers