The Web Experiences Team (WebXT) at Microsoft is accelerating innovation to enable engaging web experience products for every person.

Autosuggest is a low latency, high qps service that is the entry point for Bing. The team uses latest NLP deep learnt models to help reduce the effort to get to your query on Bing. Doing this at web-scale impacts billions of queries per day and millions of users. If you are excited and passionate about running end to end experiments, creating substantial impact, you will find home in our team.

We are looking for a Data Scientist 2 who is excited to work on ML/DL models capable to work at internet scale. An ideal candidate will have good Machine/Deep Learning knowledge with hands on experience in solving complex real-world ML/DL problems. In addition, the candidate will have knowledge of one or more ML/DL frameworks and a deep understanding of the different types of algorithms and their applications with hands-on experience in implementing at least a few of the solutions. We hire people excited to solve the hard problems, eager to work in a larger team of data scientists and engineers and ready to make an impact on how the web works. 

As a team, we leverage the diverse backgrounds and experiences of passionate engineers, scientists, and program managers to help us realize our goal of making the world smarter and more productive. We believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work closely together.  We collaborate regularly across the company both to find the technology breakthroughs from groups like Microsoft Research to infusing AI into the rest of Microsoft products like Office. 

We would like you to get a peek into our culture on Instagram (@lifeatstci) and below is more about this job and what we are looking for. Happy applying!!

Responsibilities

• Developing novel machine learning and data mining algorithms,
• Designing and developing solutions that respond in real time,
• Build data quality checks and re-usable modules for the training,
• Host ML models with production-ready code,
• Designing and executing offline/online experiments,
• Advancing the state of the art of NLP technologies for real world scenarios,
• Investigating and solving NLP accuracy and robustness issues across all processing chains, including model development, test and quality control, deployment, and user feedback stages.

Qualifications

REQUIRED QUALIFICATIONS 

• Master’s/PhD degree in CS/EE or related fields with knowledge in NLP, Machine Learning and Data Mining.
• 3-6 years of professional experience applying Deep learning, Machine Learning concepts in real world applications.
• Excited to work as part of diverse team and collaborate across geographies. 
• Outstanding communication and collaboration skills.

PREFERRED QUALIFICATIONS 

• Strong research and/or development experience with machine learning, NLP and data mining. 
• Experience in architecting, developing, and delivering advanced NLP projects is a strong plus.
• Customer focused, strategic, drives for results, is self-motivated, and has a propensity for action. 
• Fantastic problem solver: ability to solve problems that the world has not solved before.  
• Proven track record on shipping products/services with high quality.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. 

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.