AI/ML Engineer
Best Buy
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.
*** 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.
For this role, you must be located within a drivable distance to our office in Richfield, Minnesota or Atlanta, Georgia.
What you’ll do Design and develop large-scale AI solutions leveraging state-of-the-art techniquesUse broad and deep knowledge of machine learning and software engineering to contribute to the roadmap of Best Buy’s core AI capabilitiesBuild products that influence and enhance the lives of millions of peopleOptimize inference latency to enable real-time ML serving for millions of Best Buy customers dailyWorking 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 inferenceBasic qualifications
Bachelor's degree in computer science, engineering, physics, math, operations research or related field 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 2 years of experience in Python and SQL2 years of experience building data engineering pipelines, ML/AI driven products or other related functions (e.g. software engineering, data science)Demonstrated expertise in software design, test-driven development and implementation using a general-purpose programming language (e.g., Python, Scala, Rust, C++, etc.) AI, machine learning and algorithmic background in supervised and unsupervised learning, embeddings, reinforcement learning, deep learning, or Gen AI
Preferred qualifications
Master's degree in (computer science, engineering, physics, math or related)Experience in cloud-service providers such as GCP or AWSExperience in multi-cloud and multi-region integrationExperience building production grade ML models using one or more deep learning frameworks like TensorFlow, Keras, PyTorch or ONNX.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 Experience building ML/AI solutions on Google Cloud Platform (GCP) with SeldonExperience using SQL for writing model pipelines in production systems (e.g., BigQuery)Knowledge of model serialization and deserialization for Pytorch, Scikitlearn and TensorflowKnowledge of Git and Github, Gitops and CI/CD deployments with Github actionsAbility to effectively communicate technical information to cross-functional team members
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:
Commission-based sales incentivesGenerous employee discountPhysical and mental well-being support
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.™
Best Buy is an equal opportunity employer.
*** 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.
For this role, you must be located within a drivable distance to our office in Richfield, Minnesota or Atlanta, Georgia.
What you’ll do Design and develop large-scale AI solutions leveraging state-of-the-art techniquesUse broad and deep knowledge of machine learning and software engineering to contribute to the roadmap of Best Buy’s core AI capabilitiesBuild products that influence and enhance the lives of millions of peopleOptimize inference latency to enable real-time ML serving for millions of Best Buy customers dailyWorking 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 inferenceBasic qualifications
Bachelor's degree in computer science, engineering, physics, math, operations research or related field 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 2 years of experience in Python and SQL2 years of experience building data engineering pipelines, ML/AI driven products or other related functions (e.g. software engineering, data science)Demonstrated expertise in software design, test-driven development and implementation using a general-purpose programming language (e.g., Python, Scala, Rust, C++, etc.) AI, machine learning and algorithmic background in supervised and unsupervised learning, embeddings, reinforcement learning, deep learning, or Gen AI
Preferred qualifications
Master's degree in (computer science, engineering, physics, math or related)Experience in cloud-service providers such as GCP or AWSExperience in multi-cloud and multi-region integrationExperience building production grade ML models using one or more deep learning frameworks like TensorFlow, Keras, PyTorch or ONNX.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 Experience building ML/AI solutions on Google Cloud Platform (GCP) with SeldonExperience using SQL for writing model pipelines in production systems (e.g., BigQuery)Knowledge of model serialization and deserialization for Pytorch, Scikitlearn and TensorflowKnowledge of Git and Github, Gitops and CI/CD deployments with Github actionsAbility to effectively communicate technical information to cross-functional team members
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:
Commission-based sales incentivesGenerous employee discountPhysical and mental well-being support
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.™
Best Buy is an equal opportunity employer.
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