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 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.

You will love this job if:

You want to create impact with your work by finding machine learning-driven insights in the data to unlock value and improve health outcomes for real people.
You are comfortable acting autonomously in ambiguous and changing environments.
You value collaboration and feedback. You can communicate technical vision in clear terms— to your teammates and across the technology team more broadly. You are willing and able to help your teammates grow by demonstrating best practices, providing (and receiving) respectful and constructive feedback, and disclosing your unique insights with everyone.
You enjoy working in a fluid environment, defining priorities that adapt to our larger goals. You can bring clarity to ambiguity 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 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 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, 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 Frida

Senior Machine Learning Engineer at Clover Health