Machine Learning Engineer

Background:

Cedar is a patient payment and engagement platform that leverages advanced analytics, machine learning, and consumer-centric design and technology to improve the healthcare experience for patients. The AI/ML team (within the Product Engineering org) plays a critical role in achieving Cedar’s vision. We aim to proactively identify opportunities for personalization, and train models to optimize engagement and financial outcomes. By building ML-based algorithms and embedding them into our products, we deliver tailored experiences for patients that differentiate Cedar’s product offerings with hard-to-replicate competitive advantages.

We don’t do this alone–we closely partner with the other Makers teams (Data Science, Product, Design, and User Research) to maximize our impact. We also work with Commercial teams to evangelize our vision to clients and incorporate market feedback, ensuring our machine learning innovations drive real-world value.

The Role:

Cedar is scaling rapidly and the demand for machine learning expertise is increasing. We are seeking a Machine Learning Engineer III to join our team and build machine learning solutions that optimize the performance of Cedar’s product. You will conduct deep analyses of data to develop a thorough understanding of our product features and how patients utilize them, along the way becoming an expert in Cedar data. You will design, develop, and iterate on ML-powered product features to support and differentiate Cedar’s product offerings, and closely measure and monitor the performance of these ML models to identify and drive opportunities for continuous improvement. As Cedar’s ML capabilities evolve, you will have the opportunity to expand your scope and influence key decisions about how ML is utilized in Cedar’s products. 

Responsibilities:

• Develop a deep understanding of Cedar patients and our product, including the mechanisms of Cedar’s platform and Cedar’s data
• Build and optimize pipelines for data extraction, processing, and transformation; perform in-depth data analysis, data cleaning, and feature engineering on (mostly) structured, tabular data 
• Design, build, and deploy scalable and maintainable machine learning solutions that solve key problems for our patients and customers
• Rigorously evaluate the effectiveness of machine learning models by analyzing their performance, and identify opportunities for iteration and improvement
• Collaborate closely with data engineers and product engineers to productionize pipelines and ML solutions
• Present and clearly communicate findings and underlying methodology to partners across all levels of the organization, and present externally to Cedar clients
• Work cross-functionally to identify and evaluate opportunities where machine learning can drive business impact and competitive advantage
• Take ownership of end-to-end machine learning projects, from ideation to deployment, with increasing autonomy as you grow in the role

Skills and Experience:

• 5+ years of experience working with data, with 3+ years of experience in machine learning in an industry setting
• Expertise in both SQL and Python is required
• Expertise in machine learning techniques such as regression, classification, clustering, and ensemble methods; not only in training performant models, but also how to use them successfully for business impact and how to employ effective guardrails 
• Experience productionizing models and knowledge of cloud platforms such as AWS
• Excellent communication and collaboration with stakeholders, acting as a thought-partner for other data scientists and cross-functional teams
• Strong analytical ability and an understanding of statistical methods 
• Understanding of software engineering principles 
• A mindset focused on growth and learning, with a desire to take on new challenges and expand your impact over time
• Problem-solving ability, with the interest to further grow this skillset and apply strategic thinking to make key decisions relating to Cedar’s ML product features
• Experience working with healthcare data or payments/billing data is a plus, but not required

This role offers hybrid from New York City or is fully remote. 

Applicants must be currently authorized to work in the United States on a full-time basis. 

Compensation Range and Benefits

• Salary/Hourly Rate Range*: $170,000 - $200,000 
• This role is equity eligible
• This role offers a competitive benefits and wellness package

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