Data Science - AI Document Understanding, Co-op

About Ancestry:

When you join Ancestry, you join a human-centered company where every person's story is important. Ancestry®, the global leader in family history, connects everyone with their past so they can discover, preserve, and share their unique family stories. With our unparalleled collection of more than 65 billion records, over 3.5 million subscribers, and over 27 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives.

Over the past 40 years, we've built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving, and sharing the most important information about themselves and their families.
We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office- see the full list of eligible US locations HERE). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity.
Together, we work every day to foster a work environment that's inclusive as well as diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve.
Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people’s lives? Join the curious.

Ancestry is seeking an exceptional and highly motivated Data Science Co-Op to join our Content AI team, a dynamic group at the forefront of Document Understanding. You’ll play a vital role in developing innovative AI models that extract and organize text and image information from billions of historical and genealogical records enabling customers to discover, share, and connect with their family history.

As a Co-Op on the Content AI team, you will build, train and fine-tune models that process historical documents to detect meaningful, personalized insights within historical documents that connect people to their ancestors. You will also work closely with engineering teams to train, optimize, and deploy models that promote product development, customer success, and content creation across our Family History business.

• Innovate with State-of-the-Art AI: Implement and experiment with cutting-edge transformer and generative AI solutions for key Document Understanding tasks, including OCR, handwriting recognition, transcription, Named Entity Recognition (NER), Relation Extraction (RE), Coreference Resolution, Summarization, and Knowledge Graphs working with diverse genealogical and historical collections spanning newspapers, city directories, family history books, and vital records (birth, marriage, death).

• Analyze and Optimize Multi-Modal Models: Evaluate the performance of multi-modal models in zero-shot and few-shot learning scenarios for comprehensive document understanding.

• Collaborate on Cloud Deployment: Partner closely with ML Ops and Data Science Engineers to seamlessly deploy datasets, truth sets, models, and pipelines for training and inference in cloud environments.

• Communicate Insights Effectively: Clearly and confidently present your findings, deliverables, and proposed solutions to technical and non-technical audiences, including teams, stakeholders, and executives.

• Currently pursuing an advanced degree (Master's or PhD preferred) in Computer Science, Data Science, Statistics, Mathematics, Linguistics, Engineering or related quantitative field with a…