Microsoft Researcher – Machine Learning Microsoft Research 

United States, Washington 

174108910

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.

Required/Minimum Qualifications:

• Doctorate in relevant field
  • OR equivalent experience.

Other requirements:

As part of your application please upload:

• A cover letter,indicatingthe applicant’s relevant focus area(s), emphasizing potential connections and synergies with research areas.
• An academic research statement (if available).
• References - Pleasesubmita minimum of three reference letters for this position. After yousubmityour 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 tosubmityour 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.
• Experienceparticipatingin a top conference in relevant research domain.
• Demonstratedability 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.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• 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 and