Data Scientist – AI Document Understanding, Co-op

🔥 13 hours ago

🇺🇸 United States – Remote

⏱ Part Time

⚪️ Entry-level

📊 Data Scientist

🚫👨‍🎓 No degree required

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

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Ancestry

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1983

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Ancestry is a consumer-focused family history company that helps people discover, preserve, and share their family stories through online genealogy tools, historical records, and consumer DNA testing. The company operates a subscription-based platform and eCommerce offerings (such as DNA kits), maintains a large consumer DNA database, and combines technology, data science, and content to power personal discovery and research. Ancestry emphasizes customer experience, diversity and inclusion, and employs global teams across product, engineering, marketing, and science-related roles.

📋 Description

• Implement and experiment with cutting-edge transformer and generative AI solutions for Document Understanding tasks • Work on OCR, handwriting recognition, transcription, Named Entity Recognition, Relation Extraction, Coreference Resolution, Summarization, and Knowledge Graphs • Process diverse genealogical and historical collections including newspapers, city directories, family history books, and vital records • Evaluate the performance of multi-modal models 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 cloud-based training and inference • Present findings, deliverables, and proposed solutions to technical and non-technical audiences, including teams, stakeholders, and executives • Build, train, and fine-tune AI models that extract and organize text and image information from historical and genealogical records • Train, optimize, and deploy models supporting product development, customer success, and content creation across the Family History business

🎯 Requirements

• 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 strong data focus • Specialization in generative AI & LLMs, embeddings, LoRA, QLoRA, vector databases, transformer models, and Natural Language Processing (NLP) • Software development expertise including data structures, distributed model training, and inference optimizations • Strong proficiency in Python and relevant 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 • Familiarity with cloud platforms and AI/ML services such as Google Gemini API, Vertex AI, AWS EC2, S3, SageMaker, Model Registry, and Bedrock is a plus • All job offers are contingent on a background check screen that complies with applicable law

🏖️ Benefits

• Location-flexible work approach: nearest office, home, or hybrid of both, subject to location restrictions and role requirements • Reasonable accommodations for qualified individuals with disabilities