The team within Bing Multimedia - India focuses on image recommendation systems, multi-modal chat systems, and image understanding models.

We build systems and products that ship to millions of users across all of Microsoft AI Experiences. Our models and systems that help drive these products range from the use of large language models, modelling & training, big data processing, large machine learning pipelines, and more. We are working with state of the art models at the intersection of image processing and natural language processing. We are looking for a Principal Data Scientist to join our team.

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.

Responsibilities

• Manage team of data scientists on model development, training, and tooling.

• Leverage large language models for evaluation, data cleaning, data generation, and end to end products.

• Build a diverse and inclusive team with strong machine learning and engineering backgrounds.

• Innovate and think big – create and lead the development of models bn that power systems that users love in the image understanding, recommendation, and search space.

Qualifications

Required Qualifications:

• 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.

• 1+ year(s) of people management experience.

Preferred Qualifications:

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical, or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)

• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical, or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

• OR equivalent experience.

• 5+ years of people management experience.

• 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).

• 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.

• 5+ years experience conducting research as part of a research program (in academic or industry settings).

• 3+ years experience developing and deploying live production systems, as part of a product team.

• 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.

#Bing

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) .