Senior Applied Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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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