AI/ML Engineer at Best Buy

Posted in Other about 2 hours ago.

Location: Minneapolis, Minnesota





Job Description:

<span style="font-size:12pt"><span style="font-family:Calibri,sans-serif"><span style="font-size:11.0pt"><span arial="" style="font-family:">As an AI Engineer, you'll work alongside industry experts to research, develop and apply cutting-edge machine learning and artificial intelligence algorithms to build innovative technologies, services, and products. In this role you'll combine software engineering skills and knowledge of ML and AI algorithms to contribute to a team developing and operationalizing models, algorithms, and production quality codebases. </span></span></span></span><br><br><span style="font-size:12pt"><span style="background:white"><span new="" roman="" style="font-family:" times=""><span style="font-size:11.0pt"><span arial="" style="font-family:"><span style="color:black"><strong>*** This role is hybrid, which means you will work some days on site at a Best Buy location and some days virtually at home or another non-Best Buy location. The specific work arrangements vary by role and team. The recruiter or hiring manager will provide more details during the hiring process.<br><br>For this role, you must be located within a drivable distance to our office in Richfield, Minnesota or Atlanta, Georgia.</strong><br><br>What you'll do </span></span></span></span></span></span><ul><li style="margin-left:8px"><span style="font-size:12pt"><span style="background:white"><span new="" roman="" style="font-family:" times=""><span style="font-size:11.0pt"><span arial="" style="font-family:"><span style="color:black">Design and develop large-scale AI solutions leveraging state-of-the-art techniques</span></span></span></span></span></span></li><li style="margin-left:8px"><span style="font-size:12pt"><span style="background:white"><span new="" roman="" style="font-family:" times=""><span style="font-size:11.0pt"><span arial="" style="font-family:"><span style="color:black">Use broad and deep knowledge of machine learning and software engineering to contribute to the roadmap of Best Buy's core AI capabilities</span></span></span></span></span></span></li><li style="margin-left:8px"><span style="font-size:12pt"><span style="background:white"><span new="" roman="" style="font-family:" times=""><span style="font-size:11.0pt"><span arial="" style="font-family:"><span style="color:black">Build products that influence and enhance the lives of millions of people</span></span></span></span></span></span></li><li style="margin-left:8px"><span style="font-size:12pt"><span style="background:white"><span new="" roman="" style="font-family:" times=""><span style="font-size:11.0pt"><span arial="" style="font-family:"><span style="color:black">Optimize inference latency to enable real-time ML serving for millions of Best Buy customers daily</span></span></span></span></span></span></li><li style="margin-left:8px"><span style="font-size:12pt"><span style="background:white"><span new="" roman="" style="font-family:" times=""><span style="font-size:11.0pt"><span arial="" style="font-family:"><span style="color:black">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</span></span></span></span></span></span></li></ul><span style="font-size:12pt"><span style="font-family:Calibri,sans-serif"><b><span style="font-size:11.0pt"><span arial="" style="font-family:">Basic qualifications</span></span></b></span></span><br> <ul><li style="margin-left:8px"><span style="font-size:12pt"><span new="" roman="" style="font-family:" times=""><span style="font-size:11.0pt"><span arial="" style="font-family:">Bachelor's degree in computer science, engineering, physics, math, operations research or related field </span></span></span></span></li><li style="margin-left:8px"><span style="font-size:12pt"><span new="" roman="" style="font-family:" times=""><span style="font-size:11.0pt"><span arial="" style="font-family:">2 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 </span></span></span></span></li><li style="margin-left:8px"><span style="font-size:12pt"><span new="" roman="" style="font-family:" times=""><span style="font-size:11.0pt"><span arial="" style="font-family:">2 years of experience in Python and SQL</span></span></span></span></li><li style="margin-left:8px"><span style="font-size:12pt"><span new="" roman="" style="font-family:" times=""><span style="font-size:11.0pt"><span arial="" style="font-family:">2 years of experience building data engineering pipelines, ML/AI driven products or other related functions (e.g. software engineering, data science)</span></span></span></span></li><li style="margin-left:8px"><span style="font-size:12pt"><span new="" roman="" style="font-family:" times=""><span style="font-size:11.0pt"><span arial="" style="font-family:">Demonstrated expertise in software design, test-driven development and implementation using a general-purpose programming language (e.g., Python, Scala, Rust, C++, etc.) </span></span></span></span></li><li style="margin-left:8px"><span style="font-size:12pt"><span new="" roman="" style="font-family:" times=""><span style="font-size:11.0pt"><span arial="" style="font-family:">AI, machine learning and algorithmic background in supervised and unsupervised learning, embeddings, reinforcement learning, deep learning, or Gen AI</span></span></span></span></li></ul><br><span style="font-size:12pt"><span style="font-family:Calibri,sans-serif"><b><span style="font-size:11.0pt"><span arial="" style="font-family:">Preferred qualifications</span></span></b></span></span><br> <ul><li style="margin-left:8px"><span style="font-size:12pt"><span new="" roman="" style="font-family:" times=""><span style="font-size:11.0pt"><span arial="" style="font-family:">Master's degree in (computer science, engineering, physics, math or related)</span></span></span></span></li><li style="margin-left:8px"><span style="font-size:12pt"><span new="" roman="" style="font-family:" times=""><span style="font-size:11.0pt"><span arial="" style="font-family:">Experience in cloud-service providers such as GCP or AWS</span></span></span></span></li><li style="margin-left:8px"><span style="font-size:12pt"><span new="" roman="" style="font-family:" times=""><span style="font-size:11.0pt"><span arial="" style="font-family:">Experience in multi-cloud and multi-region integration</span></span></span></span></li><li style="margin-left:8px"><span style="font-size:12pt"><span new="" roman="" style="font-family:" times=""><span style="font-size:11.0pt"><span arial="" style="font-family:">Experience building production grade ML models using one or more deep learning frameworks like TensorFlow, Keras, PyTorch or ONNX.</span></span></span></span></li><li style="margin-left:8px"><span style="font-size:12pt"><span new="" roman="" style="font-family:" times=""><span style="font-size:11.0pt"><span arial="" style="font-family:">Experience with MLOps, DataOps and Orchestration platforms such as KubeFlow, Vertex AI pipelines, MLFlow, Spark or Argo for end-to-end model building, training, serving and monitoring </span></span></span></span></li><li style="margin-left:8px"><span style="font-size:12pt"><span new="" roman="" style="font-family:" times=""><span style="font-size:11.0pt"><span arial="" style="font-family:">Experience building ML/AI solutions on Google Cloud Platform (GCP) with Seldon</span></span></span></span></li><li style="margin-left:8px"><span style="font-size:12pt"><span new="" roman="" style="font-family:" times=""><span style="font-size:11.0pt"><span arial="" style="font-family:">Experience using SQL for writing model pipelines in production systems (e.g., BigQuery)</span></span></span></span></li><li style="margin-left:8px"><span style="font-size:12pt"><span new="" roman="" style="font-family:" times=""><span style="font-size:11.0pt"><span arial="" style="font-family:">Knowledge of model serialization and deserialization for Pytorch, Scikitlearn and Tensorflow</span></span></span></span></li><li style="margin-left:8px"><span style="font-size:12pt"><span new="" roman="" style="font-family:" times=""><span style="font-size:11.0pt"><span arial="" style="font-family:">Knowledge of Git and Github, Gitops and CI/CD deployments with Github actions</span></span></span></span></li><li style="margin-left:8px"><span style="font-size:12pt"><span new="" roman="" style="font-family:" times=""><span style="font-size:11.0pt"><span arial="" style="font-family:">Ability to effectively communicate technical information to cross-functional team members</span></span></span></span></li></ul><br><span style="font-size:12pt"><span style="font-family:Calibri,sans-serif"><b><span style="font-size:11.0pt"><span arial="" style="font-family:">What's in it for you</span></span></b></span></span><br><br><span style="font-size:12pt"><span style="font-family:Calibri,sans-serif"><span style="font-size:11.0pt"><span arial="" style="font-family:">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.</span></span></span></span><br><br><span style="font-size:12pt"><span style="font-family:Calibri,sans-serif"><span style="font-size:11.0pt"><span arial="" style="font-family:">Our benefits include:</span></span></span></span><br> <ul><li><span style="font-size:12pt"><span style="font-family:Calibri,sans-serif"><span style="font-size:11.0pt"><span arial="" style="font-family:">Commission-based sales incentives</span></span></span></span></li><li><span style="font-size:12pt"><span style="font-family:Calibri,sans-serif"><span style="font-size:11.0pt"><span arial="" style="font-family:">Generous employee discount</span></span></span></span></li><li><span style="font-size:12pt"><span style="font-family:Calibri,sans-serif"><span style="font-size:11.0pt"><span arial="" style="font-family:">Physical and mental well-being support</span></span></span></span></li></ul><br><span style="font-size:12pt"><span style="font-family:Calibri,sans-serif"><b><span style="font-size:11.0pt"><span arial="" style="font-family:">About us</span></span></b></span></span><br><br><span style="font-size:12pt"><span style="font-family:Calibri,sans-serif"><span style="font-size:11.0pt"><span style="background:white"><span arial="" style="font-family:"><span style="color:black">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.</span></span></span></span><br><br><span style="font-size:11.0pt"><span arial="" style="font-family:"><span style="background:white"><span style="color:black">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.™</span></span></span></span></span></span><br><br><span style="font-size:12pt"><span style="font-family:Calibri,sans-serif"><span style="font-size:11.0pt"><span arial="" style="font-family:">Best Buy is an equal opportunity employer.</span></span></span></span> <p> Position Type: Full timePandoLogic. Keywords: Recruiter, Location: Minneapolis, MN - 55423


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