Principal Machine Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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 membership.
- Generous parental leave and stock awards.
- Collaborative, inclusive culture grounded in a mission to improve global mental health.
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