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5 дней назад

Manager, AI/ML Engineering

161 000 - 221 500$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Manager, AI/ML Engineering (AI/ML and healthcare): Leading the execution of a machine learning roadmap and scaling production-grade systems for an AI-powered mental health platform with an accent on people leadership, clinical precision, and high-availability reliability. Focus on deploying safety-oriented models as Kubernetes microservices, governing the ML SDLC, and architecting cloud-native solutions on AWS.

Location: Remote, USA

Annual base salary: $161,000–$221,500

Company

hirify.global provides evidence-based mental health care through an AI-powered platform that combines clinical services and technology.

What you will do

  • Lead and scale an AI/ML engineering team through mentoring, performance management, career development, and technical guidance.
  • Own quarterly planning and execution of AI/ML workstreams, including clinical program mapping.
  • Partner with Product Management and Data Science to convert complex clinical requirements into robust, safety-oriented production models.
  • Oversee the ML software development lifecycle, including design reviews, dataset lineage, automated evaluation, and the transition from research to production.
  • Guide the deployment of stable microservices on Kubernetes and provide architectural direction for scalable cloud-native systems.
  • Build an inclusive, high-performance engineering culture based on knowledge sharing, mentorship, and rigorous technical standards.

Requirements

  • Experience leading and scaling high-performing ML/AI engineering teams in production environments.
  • Strong people leadership, performance management, strategic planning, and cross-functional communication skills.
  • Deep expertise in machine learning systems, including transformers, neural networks, and fine-tuning.
  • Mastery of the ML SDLC, including dataset lineage, automated evaluation, and large-scale microservice deployment.
  • Experience architecting cloud-native solutions on AWS or equivalent cloud providers.
  • Ability to work remotely from the USA.

Nice to have

  • High-performance production engineering experience with Java or Kotlin.
  • Experience with HIPAA, SOC2, PHI, and PII in regulated healthcare environments.
  • Experience building internal developer platforms or ML tooling for data scientists and engineers.

Culture & Benefits

  • Collaborative work with physicians, therapists, data scientists, and product leaders.
  • Healthcare, dental, vision, FSA/HSA, life, and disability insurance coverage.
  • Coaching and therapy services, equity, paid vacation and sick leave, and paid parental leave.
  • 401(k) plan with up to 3% matching and a monthly technology allowance.
  • Well-being perks, community celebrations, and team activities.

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