Job Location: Deerfield, IL
84.51° Overview
84.51° is a retail data science, insights and media company. We help the Kroger company, consumer packaged goods companies, agencies, publishers and affiliated partners create more personalized and valuable experiences for shoppers across the path to purchase.
Powered by cutting edge science, we leverage 1st party retail data from nearly 1 of 2 US households and 2BN+ transactions to fuel a more customer-centric journey utilizing 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.
Join us at 84.51°!
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Senior Machine Learning Engineer
Cincinnati, Chicago, New York, Portland, Deerfield, Remote
Summary
We are a community of Data Scientists and Engineers that work to improve the shopping experiences of our customers, both in-store and online. The ML Engineer requires a unique mix of software engineering and machine learning skills necessary to create, deploy and maintain computationally efficient ML implementations, frameworks, and end-to-end solutions. This role requires a strong understanding of math, algorithms, ML and data pipelines along with DevOps & MLOPS best practices that will scale across many users and/or large, complex, and diverse data sets.
The role is for a Senior ML Engineer on the Enterprise Pricing & Promotions (EPP) team. EPP has a long-term focus to optimize pricing and promotion decisions at Kroger, including regular pricing, temporary price reductions, in-store promotional displays, weekly ad, and the various promotion tactics that our customers use to manage their grocery budgets. The role will support the deployment and maintenance of EPP’s cutting-edge prescriptive solutions that Kroger uses to establish optimal prices and promotions to drive multiple, simultaneous business objectives.
Responsibilities
- Support the deployment, automation, and maintenance of cutting-edge Pricing & Promotion solutions that leverage machine learning and optimization techniques
- Develop and contribute to the Pricing & Promotion core optimization package using modular programming methods
- Build, steward, and maintain production-grade solutions to manage and serve machine learning and optimization models
- Scale and maintain machine learning and optimization solutions using best practices in DevOps and MLOps
- Collaborate with 84.51° and Kroger Product and Engineering teams to scale Pricing & Promotion solutions
- Understand business requirements to manage trade-off across scale, risk, and accuracy to maximize value
- Adhere to stringent quality assurance and documentation standards (e.g., git, markdown, confluence)
- Drive organizational innovation based on progress being made via academic and industry best practices
Qualifications, Skills, And Experience
- Bachelor’s degree or higher in Computer Science, Computer Engineering, Applied Statistics, or related field
- 2+ years of experience using advanced algorithms, programming languages, or technologies
- 2+ years of experience developing cloud-based solutions and understanding of design for scalability, performance, and reliability
- 2+ years of experience in tech consulting, retail or related professional services is preferred
- Strong skills in Python, Spark, and cloud technologies
- Experience developing software using SDLC best practices, while leveraging CI/CD and MLOps to develop, test, and deploy
- Experience building large-scale algorithmic solutions and deploying within a live production environment
- Experience in developing end-to-end machine learning pipelines
- Comfort with independent learning of new technologies, and willingness to use unfamiliar tools
- Ability to work in a collaborative, cross-functional (Product, Engineering, Data Science) environment
- Strong project management skills and ability to manage multiple, simultaneous priorities when necessary
- Excellent communication skills, particularly on technical topics
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