Lead AI/ML Engineer (P3227)
84.51˚Cincinnati, Ohio, United States • Chicago, Illinois, United States
Posted October 17, 2025
121000 - 201250 USD year
Full Time
About the Company
84.51° is a retail data science, insights, and media company that leverages first-party data from nearly half of US households to create personalized shopping experiences for consumers. The company offers a range of services including data science, customer engagement, media optimization, and loyalty marketing, specializing in Kroger Precision Marketing and digital media solutions. With a focus on behavioral analytics and consumer insights, 84.51° aims to enhance the path to purchase for retailers and consumer packaged goods companies.
Job Description
84.51° is seeking a Lead AI/ML/Optimization Engineer (G3) to focus on Labs innovation. This role involves hands-on technical leadership in building and scaling ML/AI/optimization-based systems, mentoring junior engineers, and collaborating with cross-functional teams to deliver scalable solutions. The ideal candidate will have a strong background in ML/AI and optimization research, and a proven ability to translate ideas into production-ready systems.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Applied Mathematics, or a related field
- 4+ years experience developing ML, AI, or optimization systems
- Strong software engineering fundamentals and daily coding experience in Python
- Deep proficiency in Python and fluency in NumPy, pandas, PySpark and 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 (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
Benefits
- Health
- 401(k)
- Health Savings Account
- AD&D and supplemental insurance
- Happiness
- Paid time off
