Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Design, implement, and validate distributed platforms for machine learning, natural language processing, and LLMs to predict avoidable adverse events in healthcare data with an accent on high-reliability systems and production model deployment. Focus on creating tools and validation processes to translate insights into scalable actions, building robust infrastructure using commercial and open-source tools.

Location: Remote - USA

Salary: $150,000 - $200,000 USD

Company

Counterpart Health, a subsidiary of hirify.global, develops AI-enabled primary care tools like Counterpart Assistant to support earlier diagnosis and management of chronic conditions for better patient outcomes.

What you will do

• Design, implement, and validate high-reliability distributed platforms for ML, NLP, and LLMs.
• Create, debug, interpret, and improve production ML and NLP models.
• Build tools and validation processes to translate data insights into scalable actions.
• Leverage commercial and open-source tools for a robust production ML platform.
• Collaborate with Data Science and Engineering teams to deliver real value from the ML/NLP/LLM platform.
• Document, iterate, and provide tutorials for easy adoption by Data Scientists.

Requirements

• 5+ years in Machine Learning Engineering in tech-enabled companies; healthcare experience preferred
• Experience with Python, data science libraries (numpy, pandas, sklearn, tensorflow, pytorch), and deploying Python apps to production.
• Experience with Natural Language Processing and/or LLMs.
• Solid foundation in feature engineering, selection, and ML techniques.
• Experience interpreting, modifying, and debugging production ML/NLP/LLM models.
• Built and refactored complex distributed ML/NLP/LLM systems.
• Scaled impact through mentorship, reusable libraries, and documentation.

Culture & Benefits

• Competitive base salary, equity, performance bonuses, 401k matching, and compensation reviews.
• Comprehensive medical, dental, vision coverage, mental health resources, and flexible time-off.
• Remote-first culture with no-meeting Fridays, monthly holidays, office setup reimbursement, cell/internet stipends.
• Professional development via learning programs, mentorship, and funding.
• Paid parental leave, Employee Stock Purchase Plan, and global team collaboration.