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10 часов назад

AI Researcher (AI)

180 000 - 250 000$
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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Описание вакансии

Текст:
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TL;DR
AI Researcher (AI/LLM): Building and operating production-grade large-language-model and agent-driven systems for a regulated financial services environment with an accent on applied research, evaluation, reliability, and measurable production impact. Focus on designing multi-step AI workflows, monitoring model quality, and optimizing latency, cost, safety, and performance under real-world constraints.

Location: Hybrid role based in San Francisco, CA, with regular in-office collaboration

Salary: $180,000–$250,000 per year, plus bonus or incentive opportunities.

Company

hirify.global is a financial services company developing AI capabilities for investors, advisors, and employees.

What you will do

  • Take AI research ideas from problem formulation through modeling, evaluation, deployment, and iteration.
  • Design and operate large-language-model and agent-driven systems used across the enterprise.
  • Build robust evaluation, monitoring, and reliability practices for long-running production AI systems.
  • Improve model and system performance under latency, reliability, cost, regulatory, and safety constraints.
  • Collaborate with platform engineering, product, and risk stakeholders to move complex AI solutions into production.
  • Help shape AI standards and responsible deployment practices at scale.

Requirements

  • Master’s degree or higher in Computer Science, Machine Learning, Mathematics, Physics, or a related field, or equivalent practical experience.
  • 7+ years of experience building, deploying, and operating machine learning or AI systems in production using Python.
  • Demonstrated experience delivering GenAI or LLM-powered applications actively used by clients or internal teams.
  • Strong data analysis and experimentation skills with Python, SQL, and Pandas.
  • Experience evaluating model quality, reliability, and trade-offs under real-world constraints.
  • Experience working cross-functionally with engineering, product, and other stakeholders.

Nice to have

  • Experience designing or operating agentic or orchestrated AI systems with tool-enabled or multi-step workflows.
  • Experience with AI evaluation, monitoring, or reliability practices.
  • Experience operating AI solutions in regulated, high-stakes, or risk-sensitive environments.
  • Technical leadership or mentoring experience.

Culture & Benefits

  • Hybrid work model balancing workplace flexibility with regular in-person collaboration.
  • 401(k) with company match and employee stock purchase plan.
  • Paid vacation, volunteering time, and a 28-day sabbatical after five years of service for eligible positions.
  • Paid parental leave and family-building benefits.
  • Tuition reimbursement and health, dental, and vision insurance.

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