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The job in short
Applied science work.
PythonJavaC++C#Machine learningDeep learningNLPPyTorchTensorFlow
Details
- Found
- 10 d ago · posted 2026-10-16
- Location as listed
- Redmond, WA,US, US
- Role
- Machine Learning / AI Engineer
- Source
- The company’s own careers site
Full description
Developing advanced AI capabilities, including container execution and image generation. You will work closely with applied scientists and engineers on designing and building both backend platform capabilities and core Copilot scenarios aimed at delighting our customers. You will drive projects from design through implementation, experimentation and finally shipping to our users. You will 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 AI experiences that have the potential to transform billions of people's lives. You will design and develop fundamental technologies and drive the applied research that power next-generation AI experiences. You will work in a diverse geographically distributed team environment where collaboration and innovation are valued. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ 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 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience. These requirements include but are not limited to the following specialized security screenings: 2+ years of industrial experience coding in C++, C#, C, Java or Python 2+ years experience in applying deep learning techniques and drive end-to-end AI product development (Search, Recommendation, NLP, Document Understanding, etc). 2+ years of experience with common machine learning, deep learning frameworks like Pytorch/Tensorflow 2+ years of industrial experience coding in C++, C#, C, Java or Python. 2+ years of experience in applying deep learning techniques and drive end-to-end AI product development (Search, Recommendation, NLP, Document Understanding, etc). 2+ years of 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. Solid 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. Solid publication track records at top conferences like ACL, EMNLP, SIGKDD, AAAI, WSDM, COLING, WWW, NIPS, ICASSP, etc.
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