Remote Machine Learning Engineer II

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Clover Health

πŸ“Remote - New Zealand

Job highlights

Summary

Join Clover as a Machine Learning Engineer II to help build a revolutionary new healthcare business by creating, debugging, interpreting, and improving production ML models.

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
  • No-Meeting Fridays
  • 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
  • Paid parental leave for all new parents

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