Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND Considerable experience experience in the following (e.g., statistics, predictive analytics, research)
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field inbdustry related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
OR equivalent experienc
Considerable industry experience coding in (but not limited to) C++, C#, C, Java or Python
Preferred Qualifications:
A Bachelor’s/Master’s/Ph.D degree in Computer Science, Electrical Engineering or other related technical areas (including mathematics and physics)
Proven track recrd in experience in applying deep learning techniques and/or drive end-to-end AI product development (Search, Recommendation, NLP, Document Understanding, etc).
Experience with common machine learning, deep learning frameworks like Pytorch/Tensorflow
These are other experiences and preferred qualifications that may help a person succeed in this role
Ability to communicate technical details clearly across organizational boundaries.
Ability and effectiveness working end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation)
Experience with shipping internet scale, low latency and high throughput systems AI products
Self-driven, results oriented, high integrity, ability to work collaboratively, solve problems with groups, find win/win solutions and celebrate successes
Customer/End-result/Metrics driven in design and development.
Keen ability and motivation to learn, enter new domains, and manage through ambiguity
Publication track records at top conferences like ACL, EMNLP, SIGKDD, AAAI, WSDM, COLING, WWW, NIPS, ICASSP, etc.
Responsibilities
In this role you will:
Driving projects from design through implementation, experimentation and finally shipping to our users.
Working on multi-modal Large Language Models (LLMs) and utilizing and fine-tuning small language models to scale experiences globally and in multiple languages.
Own development of state-of-the-art machine learning, deep learning algorithms and techniques leveraging text, images, and video for analyzing and transforming content to build world-class search and information retrieval products that have the potential to transform millions of people’s lives.
Working in a diverse geographically distributed team environment where collaboration and innovation are valued. You will have an opportunity for direct impact on design, functionality, security, performance, scalability, manageability, and supportability of Microsoft products that use our technology.