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1 день назад

Engineering Manager (AI/ML)

208 000 - 260 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior/lead
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
Engineering Manager (AI/ML) (AI/ML, LLM, ML infrastructure): Leading AI engineering across user-facing capabilities such as transcript summarization and search relevance while building feature stores, MLOps pipelines, and AI observability platforms with an accent on clinical safety, scalability, and production execution. Focus on managing Senior and Staff engineers, evaluating LLM systems, balancing product delivery with platform investment, and deploying reliable AI for mental healthcare.

Location: Remote within the United States; currently not hiring in Hawaii

Salary: $208,000–$260,000 base salary annually, plus equity; no bonus.

Company

hirify.global provides evidence-based, compassionate mental healthcare and develops technology to improve how mental healthcare is delivered and experienced.

What you will do

  • Provide technical leadership for the AI Engineering team across applied product capabilities and foundational ML platforms.
  • Guide Senior and Staff engineers delivering transcript summarization, search relevance, and other user-facing AI features.
  • Architect and scale core AI/ML infrastructure, including feature stores, MLOps pipelines, model deployment systems, and AI observability platforms.
  • Manage delivery of product features and backend platform initiatives across multiple production release cycles.
  • Coach engineers using Radical Candor while maintaining rigorous clinical safety standards.

Requirements

  • 8+ years of professional software engineering and machine learning experience.
  • 5+ years designing, scaling, and deploying distributed backend systems in cloud environments such as AWS or GCP.
  • 3+ years of direct engineering management experience, including hiring, retaining, and managing Senior- and Staff-level engineers.
  • 3+ years technically leading or building ML infrastructure, such as feature stores, MLOps pipelines, model deployment systems, or AI observability platforms.
  • 2+ years developing production-grade applied AI features involving LLM integrations, NLP, transcript summarization, RAG, search, ranking, or relevance engines.
  • Must be based in the United States; Hawaii is currently excluded.

Nice to have

  • Experience shipping AI systems in regulated industries such as HealthTech or FinTech, including privacy, compliance, HIPAA, and safety requirements.
  • Hands-on experience designing LLM evaluation frameworks using automated metrics, LLM-as-a-judge, and human-in-the-loop processes.
  • Experience using AI development tools, coding agents, advanced IDE integrations, or automated testing bots.
  • A framework for balancing short-term product delivery with long-term platform investment, technical debt, and infrastructure scaling.

Culture & Benefits

  • 100% remote work environment with working hours supporting work-life balance.
  • Medical, dental, vision, life, disability, FSA, and HSA benefits.
  • 401(k) plan access and generous time-off policies, including two company-wide shutdown weeks per year for most employees.
  • Paid parental leave for birthing, non-birthing, adopting, and fostering parents.
  • Home office, internet or mobile, wellness, and quarterly department stipends.
  • Employee assistance, community, and employee resource group programs.

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