Applied AI Science Co-op - Embedding models and Personalization

Ancestry is a human-centered company and the global leader in family history, connecting everyone with their past. They are seeking an Applied AI Science Co-Op to research and implement methods for improving representation learning, embedding quality, and personalized ranking systems, collaborating closely with applied scientists and engineers to create scalable AI solutions. Responsibilities Use data, embedding models, and personalization techniques to create meaningful, personalized family history experiences for customers Develop and evaluate models for customer segmentation, behavior understanding, and user skill progression in genealogy to inform adaptive product experiences Collaborate with applied scientists and software engineers to design, build, and deploy scalable machine learning solutions for discovery, recommendation, and customer insights Participate in technical discussions and knowledge sharing, contributing to a culture of strong machine learning, generative AI, and applied personalization practices Skills Pursuing an advanced degree (MS or PhD) in Computer Science, or a related field Demonstrated experience in applied research, including implementing and adapting published machine learning models or methodologies to solve real-world problems Proficient in Python, SQL, and AWS and hands-on experience with applied machine learning techniques and hugging face Proficient in deep neural networks and modern ML frameworks such as PyTorch or TensorFlow/Keras PhD preferred Prior publications in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, ACL, KDD, or similar conferences are a plus Familiarity with embedding models, RAG, and representation learning is a plus Exposure to large language models or generative AI applications, including prompt engineering, retrieval-augmented generation, or agent-based workflows Company Overview Ancestry is a web-based platform that helps its users to create their own family tree and help them preserve and share their family history. It was founded in 1983, and is headquartered in Lehi, Utah, USA, with a workforce of 1001-5000 employees. Its website is Company H1B Sponsorship Ancestry has a track record of offering H1B sponsorships, with 61 in 2025, 60 in 2024, 65 in 2023, 99 in 2022, 60 in 2021, 47 in 2020. Please note that this does not guarantee sponsorship for this specific role.