Senior Applied Scientist at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Feb, 26

Salary

0.0

Posted On

25 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistics, Predictive Analytics, Research, C++, C#, C, Java, Python, Deep Learning, Machine Learning, Pytorch, Tensorflow, Publication, AI Product Development, Ethics, Privacy

Industry

Software Development

Description

You will be proficient one or more subareas and gain expertise in a broad area of research, including applicable research techniques. You'll also gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies. You will review business requirements and incorporate research to meet business goals. You‘ll provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact. You will participate in onboarding of team members and assist in developing academics to be members of multidiscipline teams. You will document work in progress and experimentation results and share findings to promote innovation. You'll also use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection. 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. 3+ years of experience coding in C++, C#, C, Java or Python. 3+ years experience in applying deep learning techniques and drive end-to-end AI product development (Search, Recommendation, NLP, Document Understanding, etc). 3+ years of experience with common machine learning, deep learning frameworks like Pytorch/Tensorflow. 3+ years communicating technical details clearly across organizational boundaries. These requirements include but are not limited to the following specialized security screenings: Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Proficient ability and effectiveness working end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation). Experience with shipping internet scale, low latency and high throughput systems AI products. Self-driven, results oriented, high integrity, ability to work collaboratively, solve problems with groups, find win/win solutions and celebrate successes. Customer/End-result/Metrics driven in design and development. Keen ability and motivation to learn, enter new domains, and manage through ambiguity. Proficient publication track records at top conferences like ACL, EMNLP, SIGKDD, AAAI, WSDM, COLING, WWW, NIPS, ICASSP, etc. 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). Experience presenting at conferences or other events in the outside research/industry community as an invited speaker. 3+ years experience conducting research as part of a research program (in academic or industry settings). 1+ year(s) experience developing and deploying live production systems, as part of a product team.

Responsibilities

You will gain expertise in research techniques and identify product needs by sharing industry trends. You will also document work in progress and contribute to ethics and privacy policies related to research processes.