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The Human-Centered and AI Experiences area at Microsoft Research in Redmond, WA is looking for a candidate to advance the state of the art in evaluating and understanding the responsible development of foundational models with a focus on real-world use of Artificial Intelligence.

Our area conducts influential research published at top-tier venues in AI and ML (including NeurIPS, ICML, AAAI, and FAccT) and works within Microsoft’s Responsible AI ecosystem to impact our AI-driven technologies such as Azure, Office, and Bing.

We seek a researcher with a demonstrated ability for technical work and a proven record of influential publications on Artificial Intelligence.

For this role you’d need keen interest in rigorous evaluation, understanding, and innovation on foundational models.

Research areas of particular interest for this team include, but are not limitied to:

• Reliability & robustness of AI systems, rigorous evaluation and benchmarking, advances in AI interpretability, bias and fairness, and safety in real-world deployments

Our group takes a holistic approach to studying foundational models that includes a variety of data modalities (language, vision, multi-modal, and structured data) and modern model architectures.

You :

• should have proven expertise in many of these aspects or show that they are interested in generalizing their contributions to a variety of modalities and architectures.

• are a team players who are interested in developing next-generation platforms and tools for Machine Learning as well as conducting state-of-the-art research.

• must have finished or be about to finish their PhD.

We are interested in both recent graduates and those with post-PhD academic or industry experience. Priority will be given to candidates with a proven publication record in top-tier conferences, who have demonstrated the ability to develop original research agendas and perform hands-on research, and who work well in a collaborative and dynamic environment.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

• Define and execute research directions that are at the forefront of innovation in AI.

• Create synergies on joint, high-impact projects in collaboration with other researchers, engineers, and product group partners.

• Work closely with partner engineering teams in both research and production.

• Mentor Research interns or incoming engineering contributors and help them make coherent impact in larger projects.

Embody our Culture (https://www.microsoft.com/en-us/about/corporate-values) and Values (https://careers.microsoft.com/us/en/culture)

Qualifications

Required/Minimum Qualifications:

• Doctorate in relevant field

• OR equivalent experience.

Other requirements:

As part of your application please upload:

• A cover letter, indicating the applicant’s relevant focus area(s), emphasizing potential connections and synergies with research areas.

• An academic research statement (if available).

• References - Please submit a minimum of three reference letters for this position. After you submit your application, a request for letters may be sent to your list of references on your behalf. You may wish to alert your letter writers in advance, so they will be ready to submit your letter.

Preferred qualifications

• Doctorate in relevant field AND 2+ years related research experience

• OR equivalent experience.

• Experience publishing academic papers as a lead author or essential contributor.

• Experience participating in a top conference in relevant research domain.

• Demonstrated ability to develop original research agendas.

• Ability to work in a collaborative environment with multi-disciplinary teams. Active participation in the scientific community.

• Well-established research record of publications in top-tier journals/conferences.

• Has conducted research in one of the following research areas: reliability & robustness of AI systems, rigorous evaluation and benchmarking, advances in AI interpretability, bias and fairness, and safety in real-world deployments.

• Hands-on experience with popular machine learning frameworks (e.g.pytorch, tensorflow, scikit-learn) and cloud platforms.

• Experience with training and evaluating machine learning models for NLP, Vision, and Multimodal tasks. Experience with one data type is sufficient but candidates should be open to collaborating in projects that study a variety or a combination of modalities.

Research Sciences IC4 - The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $145,800 - $238,600 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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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) .