About the role#
We are looking for a Machine Learning Engineer Co-op to join our team. This is an engineering-focused role where you will build, test, and deploy production-quality software. You will work on model integration, AI agents, and scalable infrastructure to turn machine learning capabilities into reliable systems.
What you'll do#
- Design, build, test, and deploy production-quality ML software using Python.
- Create scalable services, pipelines, and APIs that integrate ML models and LLMs.
- Develop and optimize AI agents and agentic applications.
- Improve 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.
What you'll need#
- Current enrollment in a Master's or PhD program in Computer Science, Software Engineering, Computer Engineering, Machine Learning, AI, or a related field.
- High proficiency in Python and the ability to independently build, test, and debug software.
- Strong software engineering fundamentals, including data structures, algorithms, APIs, testing, version control, and code quality.
- Experience with ML libraries such as PyTorch, TensorFlow, or Scikit-learn.
- Experience building with GenAI, LLMs, and agentic frameworks like LangChain, LangGraph, or AutoGen.
- Experience with cloud platforms, ML development tools, and production deployment workflows.
- Strong problem-solving and technical communication skills.
- Nice to have: Experience with Node.js, Java, LLM fine-tuning, RAG, vector databases, Hugging Face, vLLM, inference optimization, or reinforcement learning.
Location & details#
- This is a remote, part-time role.
- Employment is on a rolling basis.
- This position is paid.
About Ancestry
Ancestry operates in the family history and consumer genomics sectors. Founded in 1983, the company maintains a database of over 65 billion records from 88 countries. It employs approximately 1,858 people across global offices in the United States, Ireland, France, England, Australia, and Germany. The business focuses on software development, data science, and machine learning to help users research their genealogy.
How to get in at Ancestry
Applying early is your best strategy for securing an internship at Ancestry. Because high-volume roles fill up quickly, Intern Insider sends an instant alert the moment a position is published, ensuring you apply among the first before the pile grows. This timing helps your application get seen by the team while they are still actively reviewing candidates. You can also improve your chances by reaching out to the right people. Intern Insider surfaces the recruiters behind the company's roles, allowing you to contact them directly to ask about the position or a referral. This direct approach often leads to better response rates than submitting your resume into a standard queue.
