Senior Machine Learning Engineer

Build scalable, production-grade machine learning and operations research solutions that strengthen data-driven decision-making across the enterprise. In this hybrid role in Chicago, IL, you will lead automation from data pipelines to model deployment, create reusable tools that help teams move faster, and collaborate across planning, product management, and analytics to improve availability, efficiency, and business performance.

What you’ll do

• Lead development of scalable, automated processes for large-scale data analysis, model training, validation, and deployment.
• Oversee implementation and ongoing improvement of machine learning and operations research models in partnership with data scientists, aligning solutions with business needs through cross-functional collaboration.
• Design and maintain robust ETL pipelines and automate critical system operations to support reliable data flow and strong model performance.
• Build internal tools and web applications that help stakeholders interact with machine learning and ERP systems.
• Evaluate and integrate emerging technologies to drive innovation and support strategic goals.
• Ensure deployed ML solutions maintain production-grade reliability and maintainability using software engineering and DevOps best practices.
• Mentor team members on technical execution, architecture decisions, and career development.
• Create and maintain architectural diagrams and documentation to support system design, scalability, and knowledge sharing.

What you’ll need

• Bachelor’s degree in Computer Science, Engineering, or a related field (required).
• Master’s degree in a related technical field or equivalent practical experience (preferred).
• 3+ years of production ML, optimization, modern data tools, and scalable engineering practices (required).
• Experience with AWS, including S3, ECR, and Secrets Manager.
• Ability to deploy and maintain production-grade ML solutions using Python.
• Experience applying mathematical optimization using solvers such as Gurobi.
• Experience developing web applications integrated with machine learning and ERP systems.
• Knowledge of operations research and optimization modeling.
• Hands-on use of databases and data querying, including Snowflake, DuckDB, and SQL.
• Experience with containerization, including Kubernetes and Docker.
• Understanding of ML concepts such as time series forecasting and clustering.
• Familiarity with software engineering best practices, including version control and CI/CD (e.g., GitHub, GitHub Actions).
• Experience automating workflows with orchestration tools such as Astronomer or Airflow.
• Experience building and supporting solutions within Databricks.
• Experience with ML frameworks and libraries such as PyTorch and scikit-learn.

Technology you’ll work with

AWS (S3), AWS (ECR), AWS Secrets Manager, Python, Gurobi, Snowflake, DuckDB, SQL, Kubernetes, Docker, GitHub, GitHub Actions, Astronomer, Airflow, Databricks, PyTorch, scikit-learn

Compensation and incentives

• Anticipated base pay range: USD $134,100.00 – $223,500.00 per year.
• Incentive opportunity: eligible for an incentive target of up to 10%, based on individual and company performance objectives (terms subject to change).
• Visa sponsorship: not eligible for visa sponsorship.

Benefits

Benefits start on day one, with programs designed for flexibility and choice based on team member needs.

• Medical, dental, vision, and life insurance plans with coverage starting on day one of employment
• 6 free sessions each year with a licensed therapist
• 18 paid time off (PTO) days annually for full-time employees
• 6 company holidays per year
• 6% company contribution to a 401(k) Retirement Savings Plan each pay period, with no employee contribution required
• Employee discounts
• Tuition reimbursement
• Student loan refinancing
• Free access to financial counseling, education, and tools
• Maternity support programs
• Nursing benefits
• Up to 14 weeks paid leave for birth parents
• Up to 4 weeks paid leave for non-birth parents

Work location

Hybrid in Chicago, IL.