Note: The job is a remote job and is open to candidates in USA. Counterpart Health is transforming healthcare and improving patient care with their innovative primary care tool, Counterpart Assistant. They are seeking a Senior Machine Learning Engineer to build systems and tools that support the data needs of their organization and expand their Machine Learning and Natural Language Processing capabilities.
Responsibilities
- Design, implement and validate high-reliability, distributed platforms for machine learning, natural language processing, and LLMs
- Create, debug, interpret and improve production machine learning and natural language processing models
- Build the tools and validation processes that help Clover translate insights into action at scale
- Use existing commercial and open source tools to create a robust production platform
- Work closely with Clover's Data Science and Engineering teams to ensure that the ML/NLP/LLM Platform is providing real value
- Document, iterate, and provide tutorials to ensure Data Scientists are able to use your tools easily
Skills
- 5+ years of experience in Machine Learning Engineering roles in technology enabled companies
- Experience with Python, Python data science libraries (numpy, pandas, sklearn, tensorflow, pytorch, etc.), and deploying Python apps into production environments
- Experience with Natural Language Processing and/or LLMs
- Solid foundation in feature engineering, feature selection, and machine learning techniques
- Experience interpreting, modifying, and debugging the inputs and outputs of production ML/NLP/LLM models
- Both built and refactored complex distributed systems, especially ML/NLP/LLM systems
- Scaled the impact of other engineers and data scientists through mentorship, development of reusable libraries, and documentation
- Healthcare experience preferred but not required
Benefits
- Competitive base salary and equity opportunities
- Performance-based bonus program
- 401k matching
- Regular compensation reviews to recognize and reward exceptional contributions
- Comprehensive medical, dental, and vision coverage
- No-Meeting Fridays
- Monthly company holidays
- Access to mental health resources
- Generous flexible time-off policy
- Remote-first culture, enabling collaboration with global teams
- Learning programs
- Mentorship
- Professional development funding
- Regular performance feedback and reviews
- Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
- Reimbursement for office setup expenses
- Monthly cell phone & internet stipend
- Paid parental leave for all new parents
Company Overview