The Extreme Classification (XC) team at Microsoft Research India tackles some of the largest classification problems in the world involving millions to billions of categories. We work on some of the most fun and challenging problems in the space of extremely large-scale Machine Learning applied to search and recommendation problems, including the new chat experience in Bing. Over the last decade, our team has evolved into an interdisciplinary team with key contributions from researchers in diverse areas of computer science such as ML, NLP, IR, Systems and Theory. Our team has published highly impactful papers in leading conferences such as ICML, KDD, MLSys, NeurIPS, WSDM & WWW, including a best paper award at WSDM 2019.
Along with this strong academic impact, our extreme classifiers have shipped in almost every major product and market within the Microsoft Search and Advertising Platform where they are making billions of predictions a day, increasing the productivity of millions of people, and increasing the revenue and reach of many businesses worldwide. These contributions resulted in our team winning multiple awards for our impact and engineering excellence. We follow an open research policy towards publishing and have released much of our source code on the extreme classification repository which has become a vital resource for open, reproducible, academic research. Our team offers a warm and welcoming environment where diverse people and projects thrive.
Responsibilities
As an Individual Contributor, the candidate will be responsible for all aspects of developing novel extreme classification algorithms and deploying them into various Microsoft products.
Qualifications
Required Qualifications
BTech/MTech in Computer Science (or related fields).
Strong technical background and experience in Applied ML.
Proven record of accomplishment of tech transferring applied ML/NLP/IR solutions into products with significant impact.
High motivation and energy to significantly increase and amplify our team’s output.
Passion for building great products that help millions of people through world class research and engineering.
Excellent communication skills.
Preferred Qualifications
PhD in Machine Learning or a related area.
Strong publication record in AI/ML conferences and journals.
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.
Torque Communications has over 19 years of consulting in communications management across domains and sectors. Over these years, we have...
Apply For This JobDescription You Lead the Way. We’ve Got Your Back. At American Express, we know that with the right backing, people...
Apply For This Jobbr{display:none;}.css-58vpdc ul > li{margin-left:0;}.css-58vpdc li{padding:0;}]]> Introduction As a Service Delivery Specialist, you are the face of IBM for our customers....
Apply For This JobJob Description br{display:none;}.css-58vpdc ul > li{margin-left:0;}.css-58vpdc li{padding:0;}]]> Roles and Responsibilities: · Identifying opportunities for new business development through following up...
Apply For This JobNumber of Vacancies: 01 Experience: 0-3 years Job Description : Skills: MS Excel. MS Word, Word processing, Spreadsheet preparation and...
Apply For This JobOur mission is to break down the barriers of today to release the potential of tomorrow. Join us today and...
Apply For This Job
“`
Search qualified candidates by skills, location, experience, education, and more.
“`