About Microsoft AI & Research Org
AI & Research is a new group formed at Microsoft solving to accelerate our innovation in AI, and to enable Microsoft to create truly intelligent systems and products for our customers.
When we launched Bing on June 1st of 2009, we changed search forever and created a foundational technology for AI. Bing’s market share has grown incredibly since the launch, and we serve over a third of U.S. queries, and power the partners Yahoo, Apple, Amazon and AOL for search.
Our investments in ML and AI technologies in Bing have been heavily leveraged throughout the company from Azure taking advantage of AutoPilot, Cosmos and the Edge, to our new investments in Conversation-as-a-Platform (CaaP) where we are leading the industry.
The largest example of using the Bing technologies was the creation of Cortana - our personal digital assistant, who has answered 12 billion questions for 130 million users. Cortana got us into the digital agent game.
What is in it for you?
Are you excited about enhancing your research by applying it to real life problems, building world-class software, working on data/algorithms, learning, having fun and maintaining work-life balance?
In your journey with Microsoft, you will be applying your computer science skills to innovate, design and implement solutions for cutting edge web scale problems. You will also get an opportunity to work on Big Data and employ ML techniques in search space.
Our team comprises of highly motivated researchers, engineers, product managers and data-scientists building end-to-end web-scale and enterprise-scale AI systems. Together we develop and deliver robust, state of art and scalable solutions across a rich set of scenarios.
Responsibilities
- Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rule-based models, deep learning
- Create language models from petabytes of text data in different languages
- Suggest, collect and synthesize requirements and innovate to create next generation feature sets
- Work as part of the product team to implement algorithms that power user and developer-facing products reaching out to millions of users.
- Be responsible for measuring and optimizing the quality of your algorithms and Models
- Adapt standard machine learning methods to best exploit modern parallel environments
Qualifications
- BS/MS degree in Computer Science or related quantitative field with 4-8 years of relevant experience
- Strong background in one or more of Machine Learning, Artificial Intelligence, Pattern Recognition, Natural Language Programming, Deep Learning, DNNs, Large scale Data Mining
- Experience with scripting languages such as Perl, Python, PHP, and shell scripts
- Experience with recommendation systems, targeting systems, ranking systems or similar systems
- Experience with any of Hadoop/Hbase/Pig or Mapreduce/Bigtable or R/Matlab/AzureML or similar technologies
- Ph D degree in Computer Science or related quantitative field is a plus