Senior Machine Learning Engineer

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Counterpart Health

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2024

🏥 Healthcare

🤖 Artificial Intelligence

☁️ SaaS

Healthcare • Artificial Intelligence • SaaS

Counterpart Health is an AI-powered physician enablement platform that delivers data-driven, point-of-care insights to support value-based care. Incubated at Clover Health as Clover Assistant, its proprietary machine-learning models ingest data from 100+ sources, integrate with EHRs, and surface prioritized clinical actions to improve post‑hospitalization follow-up, quality (HEDIS) performance, and cost/risk management for payors, ACOs, and primary care practices. The company offers web-based SaaS integrations, flexible partnership models for value‑based care transformation, and patented ML technologies for diagnosis and medication management.

📋 Description

• 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.

🎯 Requirements

• You have 5+ years of experience in Machine Learning Engineering roles in technology enabled companies. Healthcare experience preferred but not required. • You have experience with Python, Python data science libraries (numpy, pandas, sklearn, tensorflow, pytorch, etc.), and deploying Python apps into production environments. • You have experience with Natural Language Processing and/or LLMs. • You have a solid foundation in feature engineering, feature selection, and machine learning techniques. • You have experience interpreting, modifying, and debugging the inputs and outputs of production ML/NLP/LLM models. • You have both built and refactored complex distributed systems, especially ML/NLP/LLM systems. • You have scaled the impact of other engineers and data scientists through mentorship, development of reusable libraries, and documentation.

🏖️ Benefits

• Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions. • Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare. • Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. • Professional Development: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews. • Additional Perks: Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities • Reimbursement for office setup expenses • Monthly cell phone & internet stipend • Remote-first culture, enabling collaboration with global teams • Paid parental leave for all new parents • And much more!