Machine Learning Engineer

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.

We’re looking for a Machine Learning Engineer to help us build a revolutionary new healthcare business. Counterpart Health leverages Machine Learning (ML), including NLP and LLMs, to analyze data and help keep patients healthy and out of the hospital by delivering targeted care. By predicting avoidable adverse events, our ML infrastructure plays a central role in our mission, directly improving clinical care.

In this role, you will build systems and tools that support the data needs of a diverse organization while contributing to the expansion of our ML platform’s capabilities.

As a Machine Learning Engineer, you will: 

• Develop, debug, and optimize production ML models to enhance performance and reliability.
• Design, implement, and validate components of our high-reliability, distributed ML platforms.
• Build tools and validation processes to enable scalable translation of insights into action.
• Utilize commercial and open-source tools to create a robust, production-ready ML platform.
• Collaborate closely with Data Science and Engineering teams to ensure the ML platform delivers real value.
• Document, iterate, and create tutorials to ensure Data Scientists and Engineers can easily use your tools.

Success in this role looks like:

• Within 90 days: Successfully delivering a well-scoped project that improves ML models or systems.
• Within 6 months: Taking ownership of larger components of the system and working more autonomously in areas where you have experience.
• Long-term: Expanding ownership to increasingly complex and critical components of our ML models and infrastructure.

You should get in touch if:

• You have 3+ years of experience in Machine Learning Engineering or related roles in technology-driven companies (healthcare experience is a plus but not required).
• You are proficient in Python and Python data science libraries (e.g., NumPy, Pandas, scikit-learn, TensorFlow, PyTorch).
• You have experience deploying Python applications in production environments.
• You have a strong foundation in feature engineering, feature selection, and AI techniques.
• You have experience interpreting, modifying, and debugging the inputs and outputs of production ML models.
• You have built and refactored distributed systems, particularly ML systems.

Benefits Overview:

• 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 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 offering comprehensive group medical coverage that include coverage for hospitalization, outpatient care, optical services, and dental benefits.
• 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, company holidays, access to mental health resources, and a generous annual leave policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. 
• Professional Development: We are committed to developing our talent professionally. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

Additional Perks:

• Reimbursement for office setup expenses
• Flexibility to work from home, enabling collaboration with global teams
• Paid parental leave for all new parents
• And much more!

About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.

We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.

From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.

#LI-REMOTE

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.