Ancestry · 17 hours ago
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.
E-CommerceFamilyInternetSubscription Service
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
Qualification
Required
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
Preferred
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
Ancestry
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.
H1B Sponsorship
Ancestry has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (61)
2024 (60)
2023 (65)
2022 (99)
2021 (60)
2020 (47)
Funding
Current Stage
Public CompanyTotal Funding
$33.2MKey Investors
Banneker Partners
2020-08-05Acquired
2016-04-01Post Ipo Equity
2012-10-01Post Ipo Equity
Leadership Team
Recent News
2025-10-27
Company data provided by crunchbase