ML Engineer Co-Op — Production ML & LLMs (Remote)

Ancestry; Lehi (UT); Hybrid; USD 28,000 - 41,000; Part time

Job summary

Ancestry in Utah is seeking a Machine Learning Engineer Co-Op (part-time, work-study) to write production-quality Python, build ML-powered software, and deploy models.

You'll work on ML/LLM applications, AI agents, and scalable infrastructure, with exposure to LangChain, PyTorch, and cloud workflows. This program targets Master's and PhD students.

This is a part-time, work-study opportunity that supports flexible location (office/home/hybrid) depending on role requirements.

Qualifications

• Pursuing a Master's or PhD in a technical field.
• Strong Python development and ability to build, test, and debug software.
• Experience with ML libraries and model deployment workflows.

Responsibilities

• Design, build, test, and deploy production-quality ML software in Python.
• Build scalable services, pipelines, and APIs that integrate ML models and LLMs.
• Develop and optimize AI agents and agentic applications.
• Optimize model inference for performance, reliability, scalability, and cost.
• Build MLOps workflows for model training, evaluation, deployment, and monitoring.
• Debug complex technical issues and independently own engineering deliverables.
• Evaluate and implement emerging ML, LLM, and agent technologies.

Skills

Python

ML libraries

GenAI/LLM

APIs

communication

Education

Master's or PhD in CS/CE/ML/AI

Tools

PyTorch

TensorFlow

Scikit-learn

LangChain

AutoGen

Job description

Ancestry in Utah is seeking a Machine Learning Engineer Co-Op (part-time, work-study) to write production-quality Python, build ML-powered software, and deploy models.

You'll work on ML/LLM applications, AI agents, and scalable infrastructure, with exposure to LangChain, PyTorch, and cloud workflows. This program targets Master's and PhD students.

This is a part-time, work-study opportunity that supports flexible location (office/home/hybrid) depending on role requirements.