About the role#
Ancestry is looking for a Data Science Co-op to join our Content AI team. You will work on document understanding projects that help our customers explore their family history. You will build, train, and fine-tune models that process historical documents to extract information from billions of records.
What you'll do#
- Implement and experiment with transformer and generative AI solutions for tasks like OCR, handwriting recognition, transcription, Named Entity Recognition, Relation Extraction, Coreference Resolution, Summarization, and Knowledge Graphs.
- Evaluate how multi-modal models perform in zero-shot and few-shot learning scenarios.
- Partner with ML Ops and Data Science Engineers to deploy datasets, truth sets, models, and pipelines for training and inference in cloud environments.
- Present your findings, deliverables, and proposed solutions to both technical and non-technical audiences, including stakeholders and executives.
What you'll need#
- Currently pursuing an advanced degree, such as a Master's or PhD, in Computer Science, Data Science, Statistics, Mathematics, Linguistics, Engineering, or a related quantitative field.
- Specialization in generative AI, LLMs, embeddings, LoRA, QLoRA, vector databases, transformer models, and Natural Language Processing.
- Software development skills, including knowledge of data structures, distributed model training, and inference optimization.
- Strong proficiency in Python and libraries like Hugging Face Transformers, LangChain, LangGraph, and NLTK.
- Familiarity with cloud platforms and AI/ML services like Google Gemini API, Vertex AI, AWS EC2, S3, SageMaker, Model Registry, and Bedrock is a plus.
Location & details#
- This is a remote, part-time position.
- The term is rolling.
About Ancestry
Ancestry operates in the family history and consumer genomics sectors. Founded in 1983, the company maintains a database of over 65 billion records from 88 countries. It employs approximately 1,858 people across global offices in the United States, Ireland, France, England, Australia, and Germany. The business focuses on software development, data science, and machine learning to help users research their genealogy.
How to get in at Ancestry
Applying early is your best strategy for securing an internship at Ancestry. Because high-volume roles fill up quickly, Intern Insider sends an instant alert the moment a position is published, ensuring you apply among the first before the pile grows. This timing helps your application get seen by the team while they are still actively reviewing candidates. You can also improve your chances by reaching out to the right people. Intern Insider surfaces the recruiters behind the company's roles, allowing you to contact them directly to ask about the position or a referral. This direct approach often leads to better response rates than submitting your resume into a standard queue.
