Staff Machine Learning Engineer (AI)

TL;DR

Staff Machine Learning Engineer (AI): Developing and delivering a holistic personalization system for mental health services with an accent on content recommendation, personalized nudges, and conversational AI. Focus on building scalable AI models, designing user knowledge graphs, and leading the technical vision for personalized member experiences.

Location: Must permanently reside in the US full-time. Hybrid model (3 days/week in office) for candidates in the greater SF area.

Salary: $140,400–$200,000 + equity

Company

hirify.global is a mental health platform combining evidence-based content and clinical care to provide accessible, personalized support to millions of members worldwide.

What you will do

• Lead the development of recommender systems for mindfulness content and backend services enabling personalized member experiences.
• Build and deploy complex, scalable AI models, including search, user knowledge graphs, and conversational AI memory.
• Drive impactful ML technology initiatives that shape the delivery and accessibility of mental healthcare.
• Design and evolve AI systems from high-level vision to robust, production-ready implementations.
• Collaborate with software engineers, MLOps, and clinical leads to deliver high-quality product features.
• Mentor junior engineers and champion DEIB initiatives within the engineering organization.

Requirements

• BS or higher in Computer Science, Statistics, Mathematics, or equivalent professional experience.
• 5+ years of ML engineering experience programming in Python.
• 5+ years of experience with vector search, embedding models, recommender systems, deep learning, or LLM orchestration (RAG).
• 3+ years of experience with modern NLP tools and libraries (scikit-learn, PyTorch, TensorFlow, spaCy).
• Proficiency with version control and unit, integration, and end-to-end testing.
• Must permanently reside in the United States.

Nice to have

• Master's degree in a relevant technical field.
• Professional experience with clinical or healthcare applications of machine learning.
• Experience implementing robust and highly scalable services.
• Hands-on experience with AWS (SageMaker, Lambda, S3, DynamoDB, IAM).
• Familiarity with current machine learning academic literature.

Culture & Benefits

• Comprehensive healthcare coverage and retirement savings match.
• Stock awards and a monthly wellness stipend.
• Lifetime hirify.global membership and generous parental leave.
• Collaborative and inclusive culture grounded in values like "Own the Outcome" and "Connect with Courage".