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Associate Director, Applied AI at Best Buy in Richfield, Minnesota

Posted in Information Technology 30+ days ago.

Type: Full-Time





Job Description:

As an Associate Director, Applied AI, you’ll take the lead driving design, development, and applications of cutting-edge artificial intelligence algorithms across multiple technical teams to build innovative services, and products that solve the company's hardest problems and accelerate Best Buy's core growth.

In this role you will combine strategic thinking with your leadership skills, strong software engineering expertise and deep knowledge of AI algorithms to lead technical efforts architecting, developing, and operationalizing models, algorithms, and production quality applications that unleash the next generation of customer experiences and transform the way Best Buy operates day-to-day.

This role is remote eligible

What You'll Do


  • Lead design and development of large-scale AI solutions

  • Manage, mentor, coach and partner with a global team of ML Engineers & Scientists leveraging the best software engineering and AI techniques to solve real business problems benefitting millions of Best Buy customers daily

  • Utilize broad and deep knowledge of software engineering, AI and machine learning to contribute to the roadmap of Best Buy’s core AI capabilities.

  • Learn & have fun!


Basic Qualifications:

  • Bachelor's degree in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research or related) or equivalent experience

  • Prior experience building, deploying, and serving real-time ML/AI models with ultra-low latency and high throughput, as resilient, scalable, cloud native services with engineering excellence

  • AI, machine learning and algorithmic background with good understanding one or more of the following areas: supervised & unsupervised learning, embeddings, reinforcement learning, deep learning, Gen AI

  • 8 years of experience building ML/AI driven products or other related functions (e.g. software engineering, data science). Advanced degrees in relevant fields may be counted towards experience requirements.

  • 3 years of experience managing a team of machine learning engineers & scientists

  • Fluency in Python and industry recognized ML/AI frameworks (PyTorch, TensorFlow, scikit-learn..)

  • Strong software design and implementation skills with a general-purpose programming languages


Preferred Qualifications:

  • Master's degree or Ph.D in a highly quantitative field (Computer Science, Engineering, Physics, Math, Operations Research or related)

  • Multi -cloud and multi-region integration experience

  • Experience with one or more of the following: CI/CD, MLOps, DataOps and Orchestration platforms like KubeFlow, Airflow, MLFlow, Spark, Argo for end-to-end model building, training, serving and monitoring

  • Experience building ML/AI solutions on Google Cloud Platform (GCP) with Seldon

  • Strong SQL and functional programming skills to review code written by other ML Engineers

  • Ability to effectively communicate technical information to a wide spectrum of cross-functional team members including Product, Data, Infrastructure and Engineering teams.

  • Exposure to supply chain optimization

  • Open source contributions or GitHub portfolio


What’s in it for you
We’re committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially key moments in your life.

Our benefits include:


  • Competitive pay

  • Generous employee discount

  • Financial savings and retirement resources

  • Support for your physical and mental well-being

About us
As 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.™





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