[Hiring] Senior Machine Learning Engineer @Clover Health

Role Description

At Counterpart Health, we are transforming healthcare and improving patient care with our innovative primary care tool, Counterpart Assistant. By supporting Primary Care Physicians (PCPs), we are able to deliver improved outcomes to our patients at a lower cost through early diagnosis and longitudinal care management of chronic conditions.

Clover's Data Science team is charged with leveraging our data—our most important asset—to generate value for our members. From understanding how the member experience impacts clinical outcomes to making our home visits more efficient and effective, our team pushes out insights central to executing on our core mission.

We’re looking for a Senior Machine Learning Engineer to help us build a revolutionary new health care business. Clover uses Machine Learning/Natural Language Processing to leverage our data to help keep beneficiaries healthy and out of the hospital by getting them targeted care. By predicting avoidable adverse events, our ML/NLP/LLM infrastructure is central to working on our central mission, and has a direct impact on our beneficiaries. You will help build systems and tools that support the data needs of a diverse organization and contribute to the expansion of the Machine Learning/Natural Language Processing/LLM capabilities of our Data Platform.

As a Senior Machine Learning Engineer, you will:

• 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.

Qualifications

• 5+ years of experience in Machine Learning Engineering 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.
• 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.
• Experience building and refactoring complex distributed systems, especially ML/NLP/LLM systems.
• Experience scaling the impact of other engineers and data scientists through mentorship, development of reusable libraries, and documentation.

Benefits

• Financial Well-Being: Competitive base salary and equity opportunities, performance-based bonus program, 401k matching, and regular compensation reviews.
• Physical Well-Being: Comprehensive medical, dental, and vision coverage.
• Mental Well-Being: No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy.
• Professional Development: Learning programs, mentorship, professional development funding, and regular performance feedback and reviews.
• Additional Perks: Employee Stock Purchase Plan (ESPP), reimbursement for office setup expenses, monthly cell phone & internet stipend, remote-first culture, paid parental leave for all new parents, and much more!