About this role
Postdoctoral Fellow - Applied AI - Document Understanding at Ancestry. Location: United States. Role: implementing AI, designing systems, evaluating models Requirements: Ph.D. (or near completion) in a quantitative field; strong research record in NLP/CV/Agentic AI; proficiency in Python, LLMs, embeddings, and cloud ML tools; experience with agentic frameworks and model optimization techniques. Category: Research and Development (R&D) Seniority: Senior Level Tools: LangChain, LangGraph, CrewAI, AutoGen, AgentCore, Strands, Google ADK, A2A, GPT, Gemini, Gemini API, Claude, Llama, Qwen, vLLM, LoRA, QLoRA, Python, Neo4j, spaCy, NLTK, BERT, YOLO, Nougat, DONUT, OpenCV, Arize Phoenix, DeepEval, RAGAS, Amazon Q, Cursor, Claude Code, Kiro, AWS, EC2, S3, SageMaker, Bedrock, ECS, EKS, GCP, Vertex AI, Model Registry Commitment: Full Time Workplace: Remote Languages: English