Machine Learning Engineer II (AI)

TL;DR

Machine Learning Engineer II (AI): Designing, deploying, and monitoring production models to extract and predict clinical findings from healthcare data with an accent on feature engineering, statistical analysis, and novel ML techniques. Focus on building reliable and scalable ML systems and leveraging modern language models like LLMs or SLMs to automate administrative clinical practices.

Location: Fully remote opportunity within the United States

Salary: $100,000–$135,000 annually

Company

hirify.global’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration, cost containment, and healthcare economics.

What you will do

• Perform in-depth analysis of healthcare data to independently design, develop, and deliver clinical ML models.
• Build reliable and scalable production machine learning systems.
• Work on feature engineering, statistical analysis, developing novel ML techniques, and improving model run time.
• Collaborate cross-functionally with product managers, statisticians, clinicians, and clinical analysts.

Requirements

• 2-4 years full time professional experience in Machine Learning
• MS in computer science, machine learning, computational linguistics, statistics, mathematics, or similar field.
• Hands-on experience building with modern language models, including context-engineering LLMs or fine-tuning SLMs.
• Understanding of scientific best practice in experimental design, data collection, measurement, and interpretation of results.
• Experience configuring, training, evaluating, deploying, and maintaining models in a production setting.
• Advanced proficiency in Python and familiarity with ML frameworks such as PyTorch.

Culture & Benefits

• Fully remote opportunity with about 5% travel.
• Medical, dental, vision, life, disability insurance, and Employee Assistance Program.
• 401K retirement plan with company match; flexible spending and health savings account.
• Up to 184 hours (23 days) of PTO per year + company holidays.
• Up to 14 weeks of paid parental leave and pet insurance.
• Diverse, inclusive, and growth-oriented environment with empathetic teammates.

Hiring process

• Preliminary Phone Screening with Talent Acquisition.
• Meet the Hiring Manager.
• Behavioral Interview(s).
• Live Coding session.
• Case Study.