AI/ML Engineer Intern — Life Sciences Platform

MasterControl; Salt Lake City (UT); On-site; USD 41,000 - 69,000; Part time

Job summary

MasterControl is seeking an AI/ML internship on its life sciences quality platform. You will collaborate with data scientists, ML engineers, and platform engineers on real manufacturing records and quality-event data.

The role offers hands-on experience from data prep to model development and production integration, with mentorship and project scope aligned to your experience. You will learn to build features, train and evaluate models, and explore semantic search and language-model

Qualifications

• Proficiency in Python with ML libraries.
• Experience with Pandas, NumPy, and SQL.
• Understanding ML fundamentals and model evaluation.

Responsibilities

• Prepare data and features for ML models from manufacturing and quality data.
• Develop and evaluate predictive models for operational risk and batch outcomes.
• Support semantic search, embeddings, clustering, and evidence retrieval for quality events.
• Contribute to language-model applications grounded in analytical procedures and evidence.
• Run reproducible experiments and document results with proper validation.
• Assist in production integration via Python services and APIs under guidance.

Skills

Python

scikit-learn

PyTorch

Pandas

NumPy

SQL

Education

Pursuing CS/Data Science degree

Tools

Docker

Linux

Spark

Git

Cloud infrastructure

Model-serving APIs

Job description

MasterControl is seeking an AI/ML internship on its life sciences quality platform. You will collaborate with data scientists, ML engineers, and platform engineers on real manufacturing records and quality-event data.

The role offers hands-on experience from data prep to model development and production integration, with mentorship and project scope aligned to your experience. You will learn to build features, train and evaluate models, and explore semantic search and language-model