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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Microsoft Corporation Research SDE II in Taipei, Taiwan

Microsoft Cloud and AI (C+AI) is the team behind Azure AI Services, Azure OpenAI Service, and Microsoft Cloud Infrastructure. C+AI empowers Microsoft’s over 200 businesses, including Bing, MSN, Office 365, Xbox Live, Skype, OneDrive, Windows, and the Microsoft Azure platform globally. It also serves our global partners and customers. The Taipei computer vision science team within C+AI is a world-class research team of passionate and talented scientists and engineers who aspire to solve challenging problems and turn top AI research into high-quality products and services. These innovations can help hundreds of millions of users and customers and directly impact our business.

We are looking for a Research SDE II (Research Software Design Engineer II) to join the team.

Responsibilities

As a team member of Azure AI Services, you will participate in developing innovative machine-learning solutions to solve challenging computer vision and generative AI problems. Your responsibilities include the following:

  • Identifying, applying, improving, or creating research-backed computer vision solutions (e.g., novel, data-driven, scalable, high AI quality) to positively impact Microsoft AI Services products or services. Designing approaches to solve significant business problems in computer vision and generative AI. Applying research to products in a practical way that meets key business objectives.

  • Collaborating with researchers both inside and outside Microsoft, as well as development teams. Creating proof-of-concept during the process to demonstrate the approach’s effectiveness and impact. Potentially publishing research to high-impact conferences or publications to promote receiving new intellectual property for product impact. Integrating such proof-of-concept into computer vision solutions in Azure AI Services with platform development teams and partners.

Qualifications

Required Qualifications:

  • 3+ years of programming experience with C++/Java/C#/Python or equivalent.

  • Graduated with a Master’s or Ph.D. degree in Computer Science, Electrical Engineering, Information Technology, or equivalent.

  • Solid understanding of CS fundamentals and mastery of data analysis.

  • 3+ years of experience in Machine Learning, Deep Learning, Computer Vision, or equivalent.

  • Excellent communication, problem-solving, and collaboration skills.

  • Ability to work independently and ramp up quickly in new areas.

Preferred Qualifications:

  • Experience with computer vision, generative AI, multimodal LLM, multimodal SLM, deep learning, and computer graphics.

  • Research publications in top conferences/journals, such as CVPR, ICML, ICCV, ECCV, NeurIPS, etc.

  • Experience with deep learning frameworks, such as PyTorch.

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) .

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