Hyderabad, Telangana, India / Bangalore, Karnataka, India
Type
Full Time
Responsibilities:
You will master a broad area of research and understand any applicable research techniques. You’ll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs.
You will review business and product requirements, incorporate research, and provide strategic direction for problem-solving. You’ll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact.
You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You’ll share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline.
You will document work and experimentation results and share findings to promote innovation. You’ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection.
Requirements & Skills:
Bachelor’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 Master’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 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.
5+ years of working in an AI research facility or working with software services/experiences infused with AI.
Strong customer focus and passion for doing the right thing for the customer.
Proven ability to establish trusted, effective relationships across diverse sets of stakeholders.
Excellent communication skills and cross-group collaboration.
Ability to keep pace with rapid innovations in the field and to be creative in solving problems with no past techniques.
Experience in developing/working with highly scalable classifiers, ranking algorithms, and SL.
