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2 дня назад

Principal Machine Learning Engineer (AI)

162 000 - 250 000$
Формат работы
remote (только USA)/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

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TL;DR

Principal Machine Learning Engineer (AI/ML): Leading the development of conversational AI, healthcare assistance tools, and personalization systems with an accent on LLM orchestration, RAG systems, and scalable ML platform architecture. Focus on designing high-impact AI models from inception to production and mentoring engineering teams to advance mental healthcare delivery.

Location: Must permanently reside in the US full-time. Remote, or Hybrid (3 days/week) if based in San Francisco.

Salary: $162,000–$250,000 + equity

Company

hirify.global provides evidence-based mental health support through a combination of clinical care and innovative technology.

What you will do

  • Lead the development of complex, scalable AI models and applications from inception to production.
  • Drive the design, development, and evolution of the internal ML platform architecture.
  • Partner with cross-functional teams to align technical decisions with organizational goals.
  • Serve as a technical expert and mentor to junior engineers.
  • Contribute to DEIB initiatives within the engineering organization.

Requirements

  • 8+ years of ML engineering experience with proficiency in Python.
  • Deep expertise in vector search, embedding models, recommender systems, LLM orchestration, and RAG systems.
  • 5+ years of experience with NLP tools and libraries (scikit-learn, PyTorch, TensorFlow, spaCy).
  • Master’s or PhD in Computer Science, Statistics, Mathematics, or equivalent professional experience.
  • Experience with unit, integration, and end-to-end testing and version control.
  • Must permanently reside in the US full-time.

Nice to have

  • PhD in a relevant field.
  • Professional experience with clinical or healthcare applications of machine learning.
  • Familiarity with current ML literature, optimization methods, and agent-based models.
  • Experience implementing robust and highly scalable services.
  • Experience with AWS ecosystem (SageMaker, Lambda, S3, DynamoDB, IAM).

Culture & Benefits

  • Comprehensive healthcare coverage and retirement savings match.
  • Monthly wellness stipend and lifetime hirify.global membership.
  • Generous parental leave and stock awards.
  • Collaborative, inclusive culture grounded in a mission to improve global mental health.

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