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Senior Machine Learning Scientist, Agentic AI & GenAI Systems (Growth Marketing)

173 000 - 242 500$
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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TL;DR
Senior Machine Learning Scientist, Agentic AI & GenAI Systems (Growth Marketing) (Agentic AI/GenAI): Building enterprise-scale multimodal GenAI, RAG, multi-agent, behavioral embedding, and user-facing systems for personalized travel marketing with an accent on end-to-end architecture, memory, observability, safety, and real-time serving. Focus on training and adapting LLMs, designing interactive generative interfaces, scaling distributed GPU infrastructure, and delivering production AI products.

Location: United States - Washington - Seattle

Total cash range: $173,000-$242,500 annually, with potential pay up to $277,000 based on sustained performance.

Company

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

What you will do

  • Architect, build, and ship enterprise-scale GenAI, RAG, and multi-agent systems end-to-end across frontend, backend, and user interfaces.
  • Design hierarchical agent ecosystems with interactive generative UIs, dashboards, safety controls, and observability features.
  • Develop contextual and episodic memory, knowledge graph augmentation, adaptive retrieval, vector memory, and agent orchestration systems.
  • Build evaluation platforms using LLM-as-a-Judge, synthetic data generation, and agent trajectory assessment; train, fine-tune, adapt, and distill LLMs for production chatbots and GenAI products.
  • Develop multimodal pipelines and large-scale behavioral embedding systems for personalization, audience targeting, propensity models, and next-best-action recommendations.
  • Collaborate with product, engineering, and design teams; mentor engineers and ML scientists; set technical standards and represent the organization through open source, patents, conferences, and publications.

Requirements

  • 10+ years of experience in software engineering, ML, and AI systems, including production GenAI deployments.
  • Deep expertise in LLM training, adaptation, distillation, RLHF/DPO, and RAG systems.
  • Strong NLP foundation and experience with multimodal AI, including vision-language models.
  • Experience building and operating multi-agent AI platforms with observability and safety frameworks, including self-hosted orchestration such as LangGraph integrated with LLM APIs such as Claude.
  • Strong background in distributed GPU training and inference, cloud infrastructure using AWS or Azure, container orchestration, and ML tooling.
  • Demonstrated ability to lead end-to-end AI product development and ship user-facing features with product and design teams.
  • Excellent communication skills, including presenting complex architecture and product concepts to executives.

Nice to have

  • PhD in Computer Science, Machine Learning, or a related field.
  • Recognized industry presence through publications, patents, talks, or open-source contributions in LLMs, RAG, or agentic systems.
  • Experience integrating multimodal LLM systems involving vision, audio, music, and structured data.
  • Leadership in GenAI safety, evaluation, testing, and monitoring.
  • Strong cross-disciplinary fluency across modeling, infrastructure, product, and design.

Culture & Benefits

  • Full-time regular employment with medical, dental, and vision coverage.
  • Paid time off, Employee Assistance Program, wellness and travel reimbursement.
  • Travel discounts and International Airlines Travel Agent Network membership.
  • Inclusive and accessible recruiting experience with accommodation support for disability-related needs.

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