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2 часа назад

Senior Applied Scientist (AI)

Формат работы
hybrid
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 Applied Scientist (AI): Building and optimizing advanced agentic AI capabilities for revenue orchestration with an accent on LLM-powered systems, voice processing, and real-time data intelligence. Focus on designing scalable ML infrastructure, prototyping complex AI workflows, and deploying high-availability production services.

Location: Seattle, WA (Hybrid)

Company

hirify.global is a leading revenue orchestration platform that leverages agentic and assistive AI to automate sales workflows and provide actionable insights for enterprise revenue teams.

What you will do

  • Build AI-powered systems to process voice streams and real-time transcriptions for structured intelligence.
  • Engineer high-availability AI pipelines across distributed components for reliable, low-latency workflows.
  • Rapidly prototype ML and LLM solutions to validate approaches for complex, ambiguous problems.
  • Optimize model architecture and service orchestration to maximize ROI on key pain points.
  • Collaborate with cross-functional stakeholders to deliver innovative AI-driven capabilities.
  • Contribute to visible AI surfaces, shaping the next generation of agentic AI experiences.

Requirements

  • 2+ years of hands-on experience implementing machine learning and NLP systems, including LLM-based architectures.
  • Master’s Degree or PhD in Computer Science, Machine Learning, or a related discipline.
  • Strong foundation in statistics, experiment design, and data-driven problem solving.
  • Proficiency in Python, Java, Go, or C++ with strong software engineering skills.
  • Experience developing and deploying cloud-based AI applications.
  • Familiarity with continuous-deployment projects and incremental delivery.

Nice to have

  • Experience with speech-to-text systems or real-time audio/voice processing.
  • Familiarity with agentic AI frameworks or tool-use patterns in LLM systems.
  • Experience building low-latency, high-availability ML serving infrastructure.
  • Track record of taking ML models from prototype to production at scale.

Culture & Benefits

  • Commitment to building diverse teams and hiring the whole human.
  • Opportunity to work on industry-leading agentic AI at scale.
  • Collaborative environment with exceptional engineers and product managers.
  • Focus on high-impact, visible AI initiatives for enterprise customers.

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