AI Document Understanding Co-op: Multimodal NLP & OCR

10 Ancestry.com Operations Inc.; United States; Hybrid; USD 34,000 - 48,000; Full time

Job summary

Ancestry is seeking a Data Science Co-Op to join the Content AI team, focusing on building, training, and fine-tuning models that extract and organize text and image information from historical records. You will work with engineering to deploy models that enable product development and content creation.

The role emphasizes collaboration with ML/Ops and data science teams, leveraging cutting-edge NLP and multi-modal techniques in a research-to-production flow.

Qualifications

• Pursuing an advanced degree in a quantitative field with strong data focus.
• Specialization in generative AI & LLMs, embeddings, vector databases, transformer models, NLP.
• Proficiency in Python and NLP/ML libraries (e.g., Hugging Face Transformers).

Responsibilities

• Innovate with state-of-the-art AI: OCR, handwriting recognition, transcription, NER, RE, summarization, and knowledge graphs.
• Analyze multi-modal models in zero-/few-shot learning for document understanding.
• Collaborate with ML Ops and Data Science Engineers for cloud deployment and pipelines.

Skills

Python

NLP

Transformers

LangChain

LangGraph

HuggingFace

MLOps

Cloud Platforms

Distributed Training

Inference Optimization

Data Structures

Education

Master's or PhD preferred

Tools

Gemini API

Vertex AI

AWS SageMaker

Job description

Ancestry is seeking a Data Science Co-Op to join the Content AI team, focusing on building, training, and fine-tuning models that extract and organize text and image information from historical records. You will work with engineering to deploy models that enable product development and content creation.

The role emphasizes collaboration with ML/Ops and data science teams, leveraging cutting-edge NLP and multi-modal techniques in a research-to-production flow.