Remote Machine Learning Engineer II

Summary

Join Clover as a Machine Learning Engineer II to help build a revolutionary new healthcare business by leveraging machine learning (including NLP/LLMs) to keep patients healthy and out of the hospital. As a key member of the engineering team, you will create, debug, interpret, and improve production ML models, design and implement high-reliability distributed platforms for ML, and work closely with Data Science and Engineering teams to ensure real value from the ML platform.

Requirements

• 3+ years of experience in Machine Learning Engineering or related roles in technology enabled companies, healthcare experience preferred but not required
• Experience with Python, Python data science libraries (numpy, pandas, sklearn, tensorflow, pytorch, etc.), and deploying Python apps into production environments
• Solid foundation in feature engineering, feature selection, and AI techniques
• Experience interpreting, modifying, and debugging the inputs and outputs of production ML models
• Both built and refactored parts of distributed systems, especially ML systems

Responsibilities

• Create, debug, interpret and improve production ML models
• Design, implement and validate pieces of our high-reliability, distributed platforms for ML
• Build the tools and validation processes that help Counterpart translate insights into action at scale
• Use existing commercial and open source tools to create a robust production platform
• Work closely with Counterpart’s Data Science and Engineering teams to ensure that the ML platform is providing real value
• Document, iterate, and provide tutorials to ensure Data Scientists and Engineers are able to use your tools easily

Benefits

• Competitive base salary
• Equity opportunities
• Performance-based bonus program
• Regular compensation reviews to recognize and reward exceptional contributions
• Comprehensive group medical coverage that include coverage for hospitalization, outpatient care, optical services, and dental benefits
• Fitness and health reimbursement program designed to encourage and support an active and healthy lifestyle
• No-Meeting Mondays
• Company holidays
• Access to mental health resources
• Generous annual leave policy
• Remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location
• Learning programs
• Mentorship
• Professional development funding
• Regular performance feedback and reviews
• Reimbursement for office setup expenses
• Flexibility to work from home or from our office, enabling collaboration with global teams
• Paid parental leave for all new parents