84.51°
84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.
Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.
Join us at 84.51°!
__________________________________________________________
SUMMARY
As a Senior AI/ML Engineer (G3) on the Labs team, you will serve as a hands-on technical lead responsible for both implementing robust code and guiding the architectural direction of ML/AI/optimization-based systems. This role blends deep engineering expertise, applied ML and optimization research, and system design to accelerate the transition from proof-of-concept to scalable business solution. You will contribute code daily, mentor junior engineers, and collaborate with cross-functional partners to define, deliver, and scale the next generation of AI/ML/optimization capabilities across Kroger.
RESPONSIBILITIES
Serve as a hands-on developer responsible for building and maintaining end-to-end ML, AI, and optimization-based solutions
Lead technical design, implementation, and review processes for POCs and production-ready systems
Lead end-to-end solution lifecycle—from rapid prototyping through to scaling and hand-off to production teams in partnership with other data scientists and engineers within Labs and across the business
Partner with researchers and data scientists to co-develop, scale, and operationalize new algorithms
Architect and implement robust ML(AI)Ops pipelines that support experimentation, deployment, and monitoring
Build reusable ML components and APIs that enable modularity and scalability across business areas
Evaluate and adopt emerging technologies and tooling that can enhance experimentation and delivery speed
Drive technical best practices in code quality, documentation, observability, and team knowledge sharing
Drive experimentation and benchmarking to select performant solutions that balance complexity and business value
Contribute to Labs’ collaborative, research-forward culture by learning, sharing, and mentoring both junior and senior engineers and researchers on industry-leading and cutting-edge technologies
Lead and participate in code reviews and technical architecture planning to ensure adherence to preferred patterns and standards
Represent Labs in technical forums; proactively mentor junior and peer engineers
Collaborate with product and business stakeholders to align technical execution with innovation goals
REQUIRED QUALIFICATIONS
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Applied Mathematics, or a related field
4+ years experience experience developing ML, AI, or optimization systems, including production deployment and scaling
Strong software engineering fundamentals and daily coding experience in Python
Deep proficiency in Python and fluency in NumPy, pandas, PySpark and at least 3 of the following MLand Optimization libraries - PyTorch, TensorFlow, scikit-learn, and Pyomo.
Hands-on experience architecting and productionizing at least one type of optimization problem
(e.g., network optimization, vehicle routing, scheduling, facility location, or resource allocation). Practical experience with at least one industry-standard optimization solver
such as Gurobi, CPLEX, OR-Tools, Pyomo, PuLP, CBC, or SCIP. Hands-on experience designing CI/CD and MLOps workflows using tools such as MLflow, Azure ML, or Databricks Familiarity with cloud platforms (Azure preferred), containerization (Docker), and orchestration (Kubernetes) Experience with modern software development practices including testing, logging, observability, and version control Ability to lead projects through ambiguity and collaborate in highly cross-functional teams PREFERRED EXPERIENCE Strong track record of partnering with researchers to translate early-stage ML ideas into deployable systems Experience prototyping and scaling AI solutions in applied environments Demonstrated leadership in evaluating trade-offs between performance, complexity, and maintainability Familiarity with real-time or batch data processing systems Leadership in navigating trade-offs between performance, complexity, and long-term maintainability #LI-SSS Pay Transparency and Benefits The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation. Below is a list of some of the benefits we offer our associates: Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit. Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you. Happiness: Hybrid work environment. Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances. Pay Range $121,000 - $201,250 USD Create a Job Alert Interested in building your career at 84.51° ? Get future opportunities sent straight to your email. Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School * Select... Degree * Select... Select... Select... Start date year End date month Select... End date year What is your current permanent address? * What state do you permanently reside in? * Select... Which work location would you prefer? * Chicago, IL New York, NY Portland, OR Location options vary by role and are stated in each job posting. Our Headquarters are in Cincinnati, OH. We also have hubs in Chicago, Deerfield, New York and Portland. Not all roles are open in all locations. We have an in-office expectation for Monday-Thursday with the option to work remote on Fridays (may vary by role) and candidates must live in one of our hub locations or be willing to relocate (relocation assistance is provided). Please select one of the following that applies: * Select... How did you first learn about 84.51° and this position? * Why are you interested in 84.51° and this position? * What knowledge and skills do you bring to 84.51° to enable you for success? * Who is your current employer? * Have you ever been employed by 84.51°? * Select... Are you or have you ever been employed by dunnhumby? * Select... Are you or have you ever been employed by Kroger Co.? * Select... If your current employer is the Kroger Family of Companies, please list what department you are currently in, who your manager is, and state whether you've informed your manager of your application or not.Please input N/A if you do not currently work for Kroger. Are you bound by any commitments, contracts or agreements with your current or former employer(s) that might affect your employment with 84.51°? * Select... Are you legally authorized to work in the U.S.? Proof of eligibility will be required before you can be employed. * Select... Will you now or in the future require sponsorship for employment visa status (e.g. H1B status)? * Select... If you currently hold a visa, what type do you hold? * Select... Individuals who have questions about this Applicant Notice should contact 84.51° by using the Contact Us link at the bottom of our homepage atwww.8451.com . The essential functions of this position have been listed in the job posting. Can you perform the essential functions of the position for which you are applying as they are listed in the job posting with or without reasonable accommodation? * Select... 84.51° Demographic Questions
Together, we are stronger and can achieve more
At 84.51°, we believe a diverse and inclusive work environment is essential to the work we do as a data science company. Just as no two Kroger customers are alike, no two 84.51° associates are alike. We understand the importance of fostering an inclusive culture: to encourage our associates to bring their authentic selves to work – embracing who they are and celebrating what they can become.
We continually strive to ensure 84.51° is a place where all people feel like they belong, are respected and valued regardless of who they are, where they are from and what experiences they’ve had. By meeting our 3-year D&I roadmap goals and commitments, we will continue our journey towards becoming a destination for diverse, driven, and authentic minds.
Your responses will be used (in aggregate only) to help us identifyareas of improvement in our process.
Your responses will not be associated with your specific application and will not in any way be used in the hiring decision.
Which ethnicities describe you? Select all that apply. * Select... How do you currently describe your gender identity? * Select... Do you consider yourself a member of the Lesbian, Gay or Bisexual (LGB) community? * Select... Do you identify as a military veteran or service member? * Select... By checking this box, I consent to 84.51° collecting, storing, and processing my responses to the demographic data surveys above. *
#J-18808-Ljbffr
(e.g., network optimization, vehicle routing, scheduling, facility location, or resource allocation). Practical experience with at least one industry-standard optimization solver
such as Gurobi, CPLEX, OR-Tools, Pyomo, PuLP, CBC, or SCIP. Hands-on experience designing CI/CD and MLOps workflows using tools such as MLflow, Azure ML, or Databricks Familiarity with cloud platforms (Azure preferred), containerization (Docker), and orchestration (Kubernetes) Experience with modern software development practices including testing, logging, observability, and version control Ability to lead projects through ambiguity and collaborate in highly cross-functional teams PREFERRED EXPERIENCE Strong track record of partnering with researchers to translate early-stage ML ideas into deployable systems Experience prototyping and scaling AI solutions in applied environments Demonstrated leadership in evaluating trade-offs between performance, complexity, and maintainability Familiarity with real-time or batch data processing systems Leadership in navigating trade-offs between performance, complexity, and long-term maintainability #LI-SSS Pay Transparency and Benefits The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation. Below is a list of some of the benefits we offer our associates: Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit. Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you. Happiness: Hybrid work environment. Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances. Pay Range $121,000 - $201,250 USD Create a Job Alert Interested in building your career at 84.51° ? Get future opportunities sent straight to your email. Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Education School * Select... Degree * Select... Select... Select... Start date year End date month Select... End date year What is your current permanent address? * What state do you permanently reside in? * Select... Which work location would you prefer? * Chicago, IL New York, NY Portland, OR Location options vary by role and are stated in each job posting. Our Headquarters are in Cincinnati, OH. We also have hubs in Chicago, Deerfield, New York and Portland. Not all roles are open in all locations. We have an in-office expectation for Monday-Thursday with the option to work remote on Fridays (may vary by role) and candidates must live in one of our hub locations or be willing to relocate (relocation assistance is provided). Please select one of the following that applies: * Select... How did you first learn about 84.51° and this position? * Why are you interested in 84.51° and this position? * What knowledge and skills do you bring to 84.51° to enable you for success? * Who is your current employer? * Have you ever been employed by 84.51°? * Select... Are you or have you ever been employed by dunnhumby? * Select... Are you or have you ever been employed by Kroger Co.? * Select... If your current employer is the Kroger Family of Companies, please list what department you are currently in, who your manager is, and state whether you've informed your manager of your application or not.Please input N/A if you do not currently work for Kroger. Are you bound by any commitments, contracts or agreements with your current or former employer(s) that might affect your employment with 84.51°? * Select... Are you legally authorized to work in the U.S.? Proof of eligibility will be required before you can be employed. * Select... Will you now or in the future require sponsorship for employment visa status (e.g. H1B status)? * Select... If you currently hold a visa, what type do you hold? * Select... Individuals who have questions about this Applicant Notice should contact 84.51° by using the Contact Us link at the bottom of our homepage atwww.8451.com . The essential functions of this position have been listed in the job posting. Can you perform the essential functions of the position for which you are applying as they are listed in the job posting with or without reasonable accommodation? * Select... 84.51° Demographic Questions
Together, we are stronger and can achieve more
At 84.51°, we believe a diverse and inclusive work environment is essential to the work we do as a data science company. Just as no two Kroger customers are alike, no two 84.51° associates are alike. We understand the importance of fostering an inclusive culture: to encourage our associates to bring their authentic selves to work – embracing who they are and celebrating what they can become.
We continually strive to ensure 84.51° is a place where all people feel like they belong, are respected and valued regardless of who they are, where they are from and what experiences they’ve had. By meeting our 3-year D&I roadmap goals and commitments, we will continue our journey towards becoming a destination for diverse, driven, and authentic minds.
Your responses will be used (in aggregate only) to help us identifyareas of improvement in our process.
Your responses will not be associated with your specific application and will not in any way be used in the hiring decision.
Which ethnicities describe you? Select all that apply. * Select... How do you currently describe your gender identity? * Select... Do you consider yourself a member of the Lesbian, Gay or Bisexual (LGB) community? * Select... Do you identify as a military veteran or service member? * Select... By checking this box, I consent to 84.51° collecting, storing, and processing my responses to the demographic data surveys above. *
#J-18808-Ljbffr