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Lehi, UT

Internship

Remote

Intern

Ancestry is a web-based platform that helps its users to create their own family tree and preserve their family history. They are seeking a passionate Data Science Co-Op to join their Discovery Data Science team, where you will conduct research to improve LLMs' reasoning capabilities and reliability, driving innovation for AI agents.

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Responsibilities

Use data and different ML solutions to create meaningful family history products for customers
Work with other data scientists and software engineers to develop and deploy ML models at scale
Advocate for data-driven decision-making and support sustainable value creation by cultivating exceptional data science capabilities in machine learning, generative AI, and agentic workflows
Contribute to technical discussions, help translate business questions into data science problems, and find cost-effective solutions to the challenges at hand

Qualification

Required

Pursuing an advanced degree (MS/PhD) in Computer Science, Mathematics, Statistics or other related field
Demonstrated experience in applied research, including the implementation of published models and methodologies to solve real-world problems
Proficient in Python and SQL, familiar with AI/ML/LLM-related libraries such as Hugging Face and LangChain
Hands-on experience with applied machine learning algorithms and data visualization techniques
Experience with deep neural networks, with familiarity in either PyTorch or TensorFlow/Keras

Preferred

Prior experience in large language model (LLM) development or application, such as fine-tuning, alignment tuning, reasoning enhancement, prompting strategies, agentic frameworks, etc.