48 applicants

Company

Microsoft · 23 hours ago

Senior Applied Scientist

United States

Full-time

Remote

Mid, Senior Level

$117K/yr - $229K/yr

4+ years exp

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Responsibilities

Defining, leading, and helping to conduct research projects that simultaneously advance the state-of-the-art and directly benefit Microsoft’s core productivity products.

Collaborating and coordinating with people in a range of roles, including researchers, engineers, product managers, designers, and other key product stakeholders. Serving as a bridge between research and product.

Teaching, guiding, and tutoring colleagues without research backgrounds in state-of-the-art techniques and research best practices.

Many of the things you will try should lead to unexpected outcomes. You must be comfortable learning from experience, developing new hypotheses, and iterating.

Sharing your research with others via a range of means, including publication, to enable others to build on your work and to contribute to the understanding of our products as cutting-edge and science driven.

Effectively communicating with product leaders (and often MSR researchers) throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

StatisticsEconometricsComputer ScienceElectrical EngineeringPredictive AnalyticsFoundation ModelsNatural Language ProcessingApplied Machine LearningData MiningHuman-AI InteractionComputational Social ScienceCollaboration Skills

Required

Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

A record of publication in top-tier scientific venues (ongoing or in the recent past) (e.g., NeurIPS, ICML, ICLR, ACL, NAACL, EMNLP, KDD, WWW, CHI, PNAS, Nature).

Experience coding and hands-on experience working with foundation models.

Experience applying research, preferring the large-scale application of new ideas over theory and prototypes.

Demonstrated collaboration and communication skills, both within-team and cross-team, and experience working through problems in ambiguous environments adapting to new research challenges as technology develops.

Preferred

Experience working on successful applied research projects in industry environments.

Record of publication specifically on applications of language models or very closely related areas.

An applicant with the following skills would be a plus: Applications of Foundation Models, Domain Adaptation of Foundation Models (e.g. fine-tuning LLMs/SLMs), Vision, Audio, and Multimodal Foundation Models, On-device Foundation Models, Trust, Privacy, and Foundation Models, Agentic Systems, Prompt Tuning, Natural Language Processing, Applied Machine Learning, Data Mining with Language Models, Human-AI Interaction, Computational Social Science.

A cover letter discussing your interest in the role and how your experience connects with the topics in this call.

A brief academic statement that outlines both your research achievements and agenda and up to two papers that highlight your research interests.

Company

Microsoft

Glassdoor

4.3

Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.

Founded in 1975

Redmond, Washington, USA

10001+ employees

https://www.microsoft.com

H1B Sponsorship

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