Data Scientist – AI Document Understanding, Co-op

This is a fully remote position, open to applicants in United States.

📋 Description

• Implement and explore innovative transformer and generative AI solutions for Document Understanding tasks.

• Work on Optical Character Recognition (OCR), handwriting recognition, transcription, Named Entity Recognition, Relation Extraction, Coreference Resolution, Summarization, and Knowledge Graphs.

• Process a variety of genealogical and historical collections, including newspapers, city directories, family history books, and vital records.

• Assess the performance of multi-modal models in zero-shot and few-shot learning contexts.

• Collaborate with ML Ops and Data Science Engineers to deploy datasets, truth sets, models, and pipelines for cloud-based training and inference.

• Present insights, deliverables, and proposed solutions to both technical and non-technical audiences, including teams, stakeholders, and executives.

• Construct, train, and fine-tune AI models that extract and organize text and image data from historical and genealogical records.

• Train, optimize, and deploy models that support product development, customer success, and content creation across the Family History domain.

⛳️ Requirements

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

• Specialization in generative AI & LLMs, embeddings, LoRA, QLoRA, vector databases, transformer models, and Natural Language Processing (NLP).

• Proficiency in software development, including data structures, distributed model training, and inference optimizations.

• Strong command of Python and associated tools and libraries, including transformer models, multi-modal models, and general NLP.

• Familiarity with Hugging Face Transformers, agentic frameworks and workflows, LangChain, LangGraph, and NLTK.

• Knowledge of cloud platforms and AI/ML services such as Google Gemini API, Vertex AI, AWS EC2, S3, SageMaker, Model Registry, and Bedrock is advantageous.

• All job offers are contingent upon a background check that complies with applicable laws.

🏝️ Benefits

• Location-flexible work approach: nearest office, home, or a hybrid of both, subject to location restrictions and role requirements.

• Reasonable accommodations for qualified individuals with disabilities.