There's An AI For That
Best Buy Ai Engineer Edit Hide Hybrid (Minneapolis, MN, United States) $91,341 -
There's An AI For That, Minneapolis, Minnesota, United States, 55400
## About Best BuyAs part of the Best Buy team, you’ll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life — in our stores, online and in customers’ homes. Our culture is built on deeply supporting and valuing our amazing employees who make it all possible.
We’re committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.## About the RoleAs a Machine Learning Scientist, you’ll help shape the future of AI at Best Buy. You’ll work on real-world problems that impact millions of customers, using your skills in machine learning and software engineering to build smart, scalable solutions. This is a hands-on role where you’ll collaborate across teams, dive deep into data, and bring innovative ideas to life. If you love solving complex challenges and want to make a meaningful impact, this is the role for you.## QualificationsBachelor’s degree in Computer Science, Engineering, Math, or related field (or equivalent experience).
3 years of experience in ML/AI, data engineering, or software development.
3 years of experience building, deploying, and serving real-time ML/AI models with ultra-low latency and high throughput, as resilient, scalable, cloud native services.
2 years of experience building data engineering pipelines, ML/AI driven products or other related functions (e.g. software engineering, data science).
2 years of Python and SQL skills.
2 years of experience in software design, test-driven development, and implementation using a general-purpose programming language (e.g., Python, Scala, Rust, C++, etc.).
Solid understanding of supervised/unsupervised learning, deep learning, and Gen AI.
Preferred Qualifications
Master’s degree in a quantitative field.
Experience with GCP, AWS, or multi-cloud setups.
Familiarity with TensorFlow, PyTorch, MLFlow, Vertex AI, or similar tools.
Experience with CI/CD pipelines and GitHub actions.
Open source contributions or a strong GitHub portfolio.## ResponsibilitiesDesigning and developing large-scale AI solutions leveraging state-of-the-art techniques.
Utilizing broad and deep knowledge of machine learning and software engineering to contribute to the roadmap of Best Buy’s core AI capabilities.
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.
Optimizing inference latency to enable real-time ML serving for millions of Best Buy customers daily.
Working with both the ML Science and Data Engineering teams to design the training/serving data schema for input features as well as Request/Response data contracts during inference.## BenefitsCompetitive pay.
Generous employee discount.
Physical and mental well-being support. #J-18808-Ljbffr
We’re committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.## About the RoleAs a Machine Learning Scientist, you’ll help shape the future of AI at Best Buy. You’ll work on real-world problems that impact millions of customers, using your skills in machine learning and software engineering to build smart, scalable solutions. This is a hands-on role where you’ll collaborate across teams, dive deep into data, and bring innovative ideas to life. If you love solving complex challenges and want to make a meaningful impact, this is the role for you.## QualificationsBachelor’s degree in Computer Science, Engineering, Math, or related field (or equivalent experience).
3 years of experience in ML/AI, data engineering, or software development.
3 years of experience building, deploying, and serving real-time ML/AI models with ultra-low latency and high throughput, as resilient, scalable, cloud native services.
2 years of experience building data engineering pipelines, ML/AI driven products or other related functions (e.g. software engineering, data science).
2 years of Python and SQL skills.
2 years of experience in software design, test-driven development, and implementation using a general-purpose programming language (e.g., Python, Scala, Rust, C++, etc.).
Solid understanding of supervised/unsupervised learning, deep learning, and Gen AI.
Preferred Qualifications
Master’s degree in a quantitative field.
Experience with GCP, AWS, or multi-cloud setups.
Familiarity with TensorFlow, PyTorch, MLFlow, Vertex AI, or similar tools.
Experience with CI/CD pipelines and GitHub actions.
Open source contributions or a strong GitHub portfolio.## ResponsibilitiesDesigning and developing large-scale AI solutions leveraging state-of-the-art techniques.
Utilizing broad and deep knowledge of machine learning and software engineering to contribute to the roadmap of Best Buy’s core AI capabilities.
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.
Optimizing inference latency to enable real-time ML serving for millions of Best Buy customers daily.
Working with both the ML Science and Data Engineering teams to design the training/serving data schema for input features as well as Request/Response data contracts during inference.## BenefitsCompetitive pay.
Generous employee discount.
Physical and mental well-being support. #J-18808-Ljbffr