Senior Machine Learning Scientist (Agentic AI)

TL;DR

Senior Machine Learning Scientist (Agentic AI): Designing and evaluating multi-step agentic AI systems for traveler discovery and planning with an accent on autonomous agents, tool-augmented reasoning, and LLM orchestration. Focus on building foundational agentic architectures, optimizing task decomposition, and ensuring system reliability and safety in production.

Location: Must be based in the US (Seattle, San Jose, or Austin) with a flexible work model.

Salary: $173,000 – $242,500 (Seattle/Austin) or $187,000 – $261,500 (San Jose)

Company

hirify.global is a global travel technology platform that powers a variety of brands to make travel smoother and more memorable for everyone, everywhere.

What you will do

• Design, build, and evaluate multi-step agentic AI systems, including autonomous agents capable of planning, tool use, and memory management.
• Implement state-of-the-art techniques such as ReAct, reflection loops, chain-of-thought prompting, and tool-augmented reasoning.
• Develop agent orchestration frameworks to manage task decomposition, delegation to sub-agents, and failure recovery.
• Integrate large language models (LLMs) with external tools, APIs, databases, and code execution environments.
• Define and own evaluation frameworks to measure task success, reliability, latency, cost, and safety across production scenarios.
• Mentor junior ML engineers and scientists on agentic design patterns and LLM best practices.

Requirements

• 8+ years of related industry experience.
• Demonstrated experience designing and deploying agentic or multi-step AI systems in production or research settings.
• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Experience with LLM APIs and orchestration libraries such as LangChain or LlamaIndex.
• Solid understanding of prompt engineering (chain-of-thought, few-shot, structured output generation).
• Must have valid US work authorization (E-Verify participant).

Nice to have

• PhD, MS, or BS in Computer Science, Machine Learning, Statistics, or a related field.
• Experience in the travel or e-commerce industry.
• Publications in top-tier ML conferences or issued patents.
• Contributions to open-source ML projects.

Culture & Benefits

• Flexible work model combining remote options with modern office spaces.
• Comprehensive medical, dental, and vision insurance.
• Generous paid time off and parental leave.
• Wellness and travel reimbursement, travel discounts, and IATAN membership.
• Dedicated career development resources and an inclusive, open culture.