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Senior Machine Learning Scientist (Agentic AI)

187 000 - 261 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Machine Learning Scientist - Agentic Experience (Python/LLMs): Designing and deploying multi-step agentic AI systems for personalized travel planning with an accent on autonomous agents, tool use, memory management, and multi-agent collaboration. Focus on building orchestration and evaluation frameworks, integrating LLMs with external tools, and mitigating prompt injection, hallucinations, and unsafe actions.

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

Salary: $187,000–$261,500 annually in San Jose; $173,000–$242,500 annually in Seattle and Austin. Total cash may reach up to $299,000 in San Jose and $277,000 in Seattle or Austin.

Company

hirify.global is a global travel technology company connecting travelers, partners, and advertisers through consumer brands, B2B 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 such as ReAct, reflection loops, chain-of-thought prompting, and tool-augmented reasoning.
  • Develop agent orchestration frameworks for task decomposition, delegation, failure handling, and recovery.
  • Integrate large language models with external tools, APIs, databases, and code execution environments.
  • Define evaluation frameworks measuring task success, reliability, latency, cost, and safety.
  • 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.
  • Production or research experience designing and deploying agentic or multi-step AI systems.
  • Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX.
  • Experience with LLM APIs, orchestration libraries, external tools, APIs, and structured data sources.
  • Solid understanding of prompt engineering, including chain-of-thought, few-shot prompting, and structured output generation.
  • Experience defining ML evaluation frameworks, offline benchmarks, and production monitoring.

Nice to have

  • PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field.
  • Travel or e-commerce industry experience.
  • ML publications, patents, or open-source contributions.
  • Experience taking models from prototype to production with Machine Learning Engineering teams.

Culture & Benefits

  • Work on AI-driven travel experiences used by millions of travelers worldwide.
  • Medical, dental, and vision coverage.
  • Paid time off and an Employee Assistance Program.
  • Wellness and travel reimbursement, travel discounts, and IATAN membership.
  • Inclusive and accessible recruiting experience with accommodation support.

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