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Are you looking to work on cutting-edge large-scale AI services that can power the next-gen AI search and Copilot experiences responsibly? Are you passionate about Deep Learning and latest AI technologies to ensure they remain safe, fair, and reliable while lighting up those scenarios? Our team uses latest SOTA deep learnt models to prepare safety mechanisms for Bing and Copilot. 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 focused on safety, creating substantial impact, you will find home in our team. We are looking for an Applied Scientist who is excited to work on ML/DL models capable of working on an internet scale. An ideal candidate will have extensive Machine/Deep Learning knowledge with proven track record in solving complex real-world ML/DL problems, specifically in areas related to fairness, or model safety. In addition, the candidate will have expert 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 scalable solutions. We hire people excited to solve the hardest problems, eager to lead within a larger team of data scientists and engineers and ready to make an impact on how the web works.
Job Responsibility:
Developing novel machine learning and data mining algorithms
Designing and developing solutions that respond in real time
Building data quality checks and re-usable modules for the training
Hosting 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
Requirements:
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 7+ 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 5+ years related experience
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ year(s) related experience
OR equivalent experience
7+ 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
Nice to have:
Solid research and/or development experience with machine learning, NLP and data mining
Experience in architecting, developing, and delivering advanced NLP projects
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