The board
- Hours
- Part time
- Where
- Remote
- Posted
- Sep 22
When you join Ancestry, you join a human-centered company where every person’s story is important. Ancestry®, the global leader in family history, connects everyone with their past so they can discover, preserve, and share their unique family stories. With our unparalleled collection of more than 65 billion records, over 3.5 million subscribers, and over 27 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives. Over the past 40 years, we’ve built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving, and sharing the most important information about themselves and their families.
We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location res…
What they want
- Pursuing an advanced degree (PhD strongly preferred) in Computer Science, AI, or a related field
- Experience with applied ML research, including implementing or adapting published ML methodologies; publications in NeurIPS, ICML, ICLR, ACL, KDD, RecSys, or similar venues are a plus
- Proficient in Python, SQL, and PyTorch, with experience building and evaluating ML systems
- Hands-on experience with agentic AI, including agent orchestration frameworks such as LangGraph, DSPy, AutoGen, or CrewAI, and concepts such as tool use, planning, memory, and multi-agent systems
- Experience with LLM inference, fine-tuning, RAG, or retrieval systems; familiarity with technologies such as vLLM, LoRA/PEFT, Qdrant, FAISS, HNSW, or Two-Tower models is a plus
- Familiarity with agentic evaluation, including LLM-as-a-Judge, RAG evaluation, or synthetic user simulation, is a plus
- Starts
- 2026-09-22