Graduate Research Co-op - AI & Representation Learning

This is a part‑time, work‑study focused position for 6 months intended for active master's and Ph.D. students.

• Support the development of representation learning models to integrate massive‑scale hierarchical data with diverse record sets.
• Evaluate and benchmark diverse machine learning models to resolve data conflicts and improve the accuracy of relationship discovery at scale.
• Assist in building scalable ML prototypes that analyze billions of data points to provide automated insights and personalization.
• Develop efficient data pipelines to process and vectorize massive‑scale datasets for downstream research and modeling tasks.
• Collaborate closely with senior researchers to document findings and prepare technical reports on model performance and scalability.

• Currently enrolled in a Graduate program (Ph.D. preferred, or MS) in Computer Science, Data Science, or a related quantitative field.
• Solid understanding of representation learning, embedding models, or large‑scale data modeling.
• Proficient in Python and modern ML frameworks such as PyTorch or Tensor Flow; familiarity with vector databases or large language models (LLMs) is a plus.
• Strong analytical skills with the ability to extract meaningful insights from massive‑scale, complex datasets.
• A collaborative spirit and a desire to see research translated into real‑world applications.

Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities.

All job offers are contingent on a background check screen that complies with applicable law. For candidates who live in San Francisco, CA, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records.