Назад
6 часов назад

Senior Machine Learning Engineer (Agentic AI)

209 000 - 245 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Senior Machine Learning Engineer (Agentic AI): Building agentic AI systems that power intelligent customer experiences across Robinhood products with an accent on evaluation frameworks and model optimization. Focus on designing scalable evaluation systems, optimizing reasoning and planning for autonomous agents, and ensuring safety and reliability in production.

Location: Hybrid (Must be based in Bellevue, WA; Menlo Park, CA; or New York, NY), with in-person attendance expected at least 3 days per week

Salary: $209,000 - $245,000 USD (Base Pay)

Company

Robinhood is a financial services company on a mission to democratize finance for all.

What you will do

  • Lead the design and evolution of agentic AI systems for intelligent customer experiences.
  • Define technical directions for evaluating autonomous agents, focusing on reasoning, planning, tool selection, and memory.
  • Build scalable evaluation frameworks using automated evals, benchmark datasets, and LLM-as-a-Judge techniques.
  • Optimize model selection across frontier foundation models, fine-tuned models, and RAG systems.
  • Partner with Product and Data Science to establish launch criteria and measurable success metrics for production systems.
  • Mentor engineers and establish best practices for building reliable, production-ready agentic AI.

Requirements

  • Significant experience deploying production AI systems using LLMs, autonomous agents, or multi-step reasoning workflows.
  • Deep understanding of agent architectures, including tool calling, planning, memory, and RAG.
  • Experience designing evaluation frameworks, human evaluation pipelines, and continuous quality measurement.
  • Strong software engineering skills for building scalable distributed systems and production ML infrastructure.
  • Proven technical leadership through architecture design and mentorship across multiple teams.

Nice to have

  • Experience with agent frameworks, AI observability platforms, or model evaluation tooling.
  • Experience with regulated AI applications.

Culture & Benefits

  • Performance-driven compensation including bonus programs and equity ownership.
  • Comprehensive benefits including 100% paid health insurance for employees.
  • 401(k) matching and a flexible "lifestyle wallet" for wellness and learning.
  • Paid time off, sick leave, and parental leave.
  • Premium office experience with catered meals and events.

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