Machine Learning Engineer II

Clover is reinventing healthcare by working to keep people healthier.

We value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds and swaths of life to help build the future of healthcare. Clover’s engineering team is empathetic, caring, and supportive. We are deliberate and self-reflective about the team and culture that we are building, looking for engineers that are not only strong in their own aptitudes but care deeply about aiding in each other’s growth.

We’re looking for a Machine Learning Engineer II to help us build a revolutionary new health care business. Counterpart Health uses Machine Learning (including NLP/LLMs) to leverage our data to help keep patients healthy and out of the hospital by getting them targeted care. By predicting avoidable adverse events, our ML infrastructure is central to working on our central mission, and has a direct impact on improving clinical care. You will help build systems and tools that support the data needs of a diverse organization and contribute to the expansion of the ML capabilities of our Platform.

As a Machine Learning Engineer II, you will: 

• 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.

Success in this role looks like:

• Within 90 days: Successfully able to deliver a well-scoped project that improves machine learning models or systems. 
• Within 6 months: Able to increasingly own larger pieces of the system and work more autonomously in places you have experience.
• In the future: Growing in ownership to increasingly large and complex pieces of our ML models and systems.

You will love this job if:

• You want to create impact with your work by finding ML-driven insights in the data to unlock value and improve health outcomes for real people.
• You are comfortable acting autonomously on tasks in ambiguous and changing environments.
• You value collaboration and feedback. You can communicate technically in clear terms— to your teammates and across the technology team more broadly. You are willing and able to help your teammates grow by providing (and receiving) respectful and constructive feedback, and disclosing your unique insights with everyone.
• You enjoy working in a fluid environment, defined by priorities that adapt to our larger goals. You can bring clarity to ambiguity on projects while remaining open-minded to new information that might change your mind.
• You are not hesitant to jump in to help fix things that are broken and you are encouraged to make sustainable systems. You are happy to fill in the gaps to reach a goal where necessary, even if it does not always fit your job description.
• You have a genuine interest in what good technology can do to help people and have a positive attitude about tackling hard problems in an important industry.

You should get in touch if:

• You have 3+ years of experience in Machine Learning Engineering or related 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 a solid 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 both built and refactored parts of distributed systems, especially 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!

#LI-REMOTE

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 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.