Senior Machine Learning Scientist - Agentic Experience (AI)

Location: United States — San Jose, Seattle, or Austin

Salary: $187,000–$261,500 in San Jose; $184,500–$258,000 in Seattle and Austin, with potential increases up to $299,000 or $295,000 based on sustained performance.

Company

hirify.global is a global travel company connecting travelers, partners, and advertisers through consumer brands, B2B travel services, and travel advertising.

What you will do

• Design, build, and evaluate multi-step agentic AI systems with planning, tool use, memory, and multi-agent collaboration.
• Research and implement agentic architectures including ReAct, reflection loops, chain-of-thought prompting, and tool-augmented reasoning.
• Develop agent orchestration frameworks for task decomposition, delegation, failure handling, and recovery.
• Integrate LLMs with tools, APIs, databases, and code execution environments for real-world task completion.
• Own evaluation frameworks measuring task success, reliability, latency, cost, and safety across benchmarks and production scenarios.
• Collaborate with product, engineering, and research teams, mitigate agentic-system risks, and mentor junior ML engineers and scientists.

Requirements

• 8+ years of related industry experience.
• Experience designing and deploying agentic or multi-step AI systems, such as ReAct, tool-calling agents, or multi-agent pipelines, in production or research settings.
• Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX; experience with LLM APIs and orchestration libraries such as LangChain, LlamaIndex, or similar.
• Experience integrating LLMs with external tools, APIs, and structured data sources for real-world task completion.
• Solid understanding of prompt engineering, including chain-of-thought, few-shot prompting, and structured output generation.
• Experience defining and running ML-system evaluation frameworks, including offline benchmarking and production monitoring.

Nice to have

• PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field, or equivalent professional experience.
• Experience in travel or e-commerce.
• Publications in top-tier ML conferences or journals, patented inventions, or contributions to open-source ML projects.
• Experience taking models from prototype to production with Machine Learning Engineering teams.

Culture & Benefits

• Full-time employee position with medical, dental, and vision coverage and paid time off.
• Employee Assistance Program, wellness and travel reimbursement, travel discounts, and IATAN membership.
• Inclusive and accessible recruiting experience with accommodation support available.
• Employment eligibility is verified through the U.S. I-9 and E-Verify process.