Machine Learning Co-Op (Fall 2026)

Major Responsibilities

• Run discovery (interviews, process mapping) and translate findings into clear requirements.
• Build and maintain clean datasets with SQL/Python; create visuals/dashboards (e.g., Power BI).
• Prototype and evaluate predictive/time-series models; document methods and results.
• Demo work, gather feedback, iterate, and prepare simple handoffs for reuse.

Minimum Qualifications

• Working toward a bachelor's degree in a major related to machine learning (e.g. computer science, statistics, mathematics, engineering, or a closely related field).
• Strong communicator and facilitator; comfortable writing clear docs.
• Familiar with Python and SQL; solid grasp of basic statistics and model evaluation.
• Organized, curious, and able to manage multiple projects and deadlines.

Nice To Have

• Experience with time-series/forecasting, Power BI/DAX, or introductory deep learning/LLMs.
• Familiarity with version control (Git/GitHub) and basic cloud data tools.

Pay

This position offers a competitive salary commensurate with experience.

Schedule

The schedule for this role is typically full-time, but may vary based on project demands.

Benefits

We offer a full complement of benefits that include:

• Medical, dental, and vision insurance;
• Life, travel, and disability insurance;
• A flexible spending account;
• 401K plans;
• A pension plan;
• Paid holidays and vacation.

We also offer financial assistance programs if you decide to adopt a child or want to pursue further education. We have a comprehensive wellness program and an Employee Assistance Program, that supports individuals in the proactive management of their overall health and wellness.