Agentic AI Scientist II — Autonomous Planning & Tools

Expedia, Inc.; San Jose (CA); In loco; USD 129.000 - 181.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical coverage

Dental coverage

Vision coverage

Paid time off

Employee Assistance Program

Wellness reimbursement

Travel reimbursement

Travel discounts

IATAN membership

Descrizione del lavoro

Expedia Group’s Traveler Discovery & Planning team is seeking a skilled ML engineer to design and deploy agentic AI systems. You will build autonomous agents, integrate LLMs with external tools, and craft robust evaluation frameworks to ensure reliable, scalable performance in real-world travel scenarios.

The role emphasizes cutting-edge research and production-ready implementations, with collaboration across product, engineering, and research teams.

Competenze

• PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or related field; or equivalent professional experience
• 2+ years of related industry experience
• Demonstrated experience designing and deploying agentic or multi-step AI systems (e.g., ReAct, tool-calling agents, multi-agent pipelines) in production or research settings
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX); experience with LLM APIs and orchestration libraries (e.g., LangChain, LlamaIndex, or similar)
• Experience integrating LLMs with external tools, APIs, and structured data sources for real-world task completion
• Understanding of prompt engineering techniques including chain-of-thought, few-shot prompting, and structured output generation
• Experience defining and running evaluation frameworks for ML systems, including offline benchmarking and production monitoring

Mansioni

• Design, build, and evaluate multi-step agentic AI systems, including autonomous agents capable of planning, tool use, memory management, and multi-agent collaboration
• Research and implement state-of-the-art techniques in agentic architectures, such as ReAct, reflection loops, chain-of-thought prompting, and tool-augmented reasoning
• Develop and maintain agent orchestration frameworks, defining how agents decompose tasks, delegate to sub-agents, and handle failure and recovery
• Integrate large language models (LLMs) with external tools, APIs, databases, and code execution environments to enable real-world task completion
• Define and own evaluation frameworks for agentic systems, measuring task success, reliability, latency, cost, and safety across diverse benchmarks and production scenarios
• Collaborate closely with product, engineering, and research teams to translate business requirements into agentic system designs and deliver production-grade solutions
• Identify and mitigate risks specific to agentic systems, including prompt injection, unintended actions, hallucination in long-horizon tasks, and unsafe tool use
• Stay current with the rapidly evolving agentic AI landscape, synthesizing academic research and industry developments to inform the team's technical direction

Conoscenze

Python

ML frameworks

LLM APIs

Prompt engineering

Production ML

Formazione

PhD, MS, or BS in Computer Science/ML/Engineering

Strumenti

PyTorch

TensorFlow

JAX

LangChain

LlamaIndex

Descrizione del lavoro

Expedia Group’s Traveler Discovery & Planning team is seeking a skilled ML engineer to design and deploy agentic AI systems. You will build autonomous agents, integrate LLMs with external tools, and craft robust evaluation frameworks to ensure reliable, scalable performance in real-world travel scenarios.

The role emphasizes cutting-edge research and production-ready implementations, with collaboration across product, engineering, and research teams.