About the role#
Ancestry is looking for a Machine Learning Engineer Co-op to join our team for the Summer 2027 term. You will work with data scientists, engineers, and product teams to build and deploy scalable machine learning solutions. This is a part-time, work-study opportunity for students currently enrolled in advanced degree programs.
What you'll do#
- Develop and deploy machine learning and large language models.
- Build and optimize AI agents to improve automation and decision-making.
- Improve model inference speed, storage efficiency, and scalability for real-world use.
- Create pipelines and MLOps workflows to streamline model training, evaluation, and deployment.
- Contribute to the development of evaluation and monitoring platforms for ML, LLMs, and AI agents.
- Experiment with new technologies in the ML and agentic space.
What you'll need#
- Current enrollment in an advanced degree program (Master's or PhD preferred) in Computer Science, Data Science, Statistics, Mathematics, Linguistics, Engineering, or a related quantitative field.
- Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or Scikit-learn.
- Experience with GenAI, LLMs, and agentic frameworks.
- Strong problem-solving skills and the ability to write clean, scalable code.
- A curious, proactive mindset.
- Familiarity with cloud platforms and ML development and deployment tools is preferred.
- Experience with Node.js, Java, RAG, vector databases, or LLM fine-tuning is a plus.
Location & details#
- This position is fully remote within the United States.
- This is a paid, part-time co-op role.
- We do not provide visa sponsorship for this position.
How to get in at Ancestry
Intern Insider's per-company playbook.
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.
