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As a Lead AI/ML Engineer, you'll develop and maintain ML/AI optimization solutions, mentor engineers, and collaborate on innovations. You'll manage projects from prototyping to production, ensuring high-quality technical execution in a cross-functional environment.
84.51° Overview:
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.
84.51° follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection.
Join us at 84.51°!
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Lead AI/ML/Optimization Engineer (G3) – Labs Innovation Focus (P3227)
SUMMARY
As a Lead 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
- Experience designing experiment platforms or reusable ML/optimization infrastructure
- 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: 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
Top Skills
Azure Ml
Cplex
Databricks
Docker
Gurobi
Kubernetes
Mlflow
Numpy
Or-Tools
Pandas
Pyomo
Pyspark
Python
PyTorch
Scikit-Learn
TensorFlow
84.51° Chicago, Illinois, USA Office
433 W Van Buren St, Suite 610, Chicago, IL, United States, 60606
84.51° Deerfield, Illinois, USA Office
540 Lake Cook Road, Suite 100, Deerfield, IL, United States, 60015
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