
Principal Machine Learning Scientist
Developing highly scalable algorithms based on state-of-the-art machine learning techniques such as new derivatives of the Transformer model and multi-headed self-attention, Bayesian optimization, and stochastic dynamic graphs to build products related to personalization, forecasting, healthcare, cybersecurity, etc. Applying software engineering skills to develop and deploy solutions that can scale to millions of requests per second with millisecond latency. Utilizing broad and deep knowledge of machine learning and software engineering to contribute to the roadmap of Best Buy’s core machine learning capabilities. Providing technical leadership for multiple efforts building real products that influence and enhance the lives of millions of people and drive and deliver tens of millions of dollars in impact to Best Buy’s bottom line Coaching and mentoring more junior machine learning scientists to elevate the talent bar across Best Buy.
8 years of experience building ML and/or AI driven products or other similar related functions
2 years of experience leading technical research and production-grade development efforts/teams
Fluency with at least one data science/analytics programming language
Experience using high-performance machine learning libraries and/or deep learning frameworks (e.g. PyTorch, Tensorflow, RAPIDs, etc) a plus
Python
Java
C++
C#
Scala
SWIFT
R
Apache Spark
Bayesian inference
Julia
Time Management Skills
Beam
Verbal communication
written communication
Self-Driven
Adaptability
Problem Solving Skills
Detail Oriented and Organized
Multi-tasking
According to JobzMall, the average salary range for a Principal Machine Learning Scientist in Hub, 7601 Penn Ave S, Minneapolis, MN 55423, USA is between $126,000 to $182,000. This range is based on the data from employers, job postings, and other sources. The exact salary depends on the experience and qualifications of the individual.
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Best Buy Co., Inc. provides consumer electronics, home office products, entertainment products, appliances and related services. It operates through two business segments: Domestic and International. The Domestic segment is comprised of the operations in all states, districts and territories of the U.S., operating under various brand names, including but not limited to, Best Buy, Geek Squad, Magnolia Audio Video and Pacific Sales. The International segment is comprised of all operations outside the U.S. and its territories, which includes Canada and Mexico. It also markets its products under the brand names: Best Buy, Geek Squad, Magnolia Audio Video and Pacific Sales.

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