Machine Learning Engineer III - Remote

Overview

Cedar is seeking a Machine Learning Engineer III to develop machine learning solutions that enhance the performance of its healthcare payment and engagement platform.

In Short

• Develop a deep understanding of Cedar patients and products.
• Build and optimize data pipelines and perform data analysis.
• Design and deploy scalable machine learning solutions.
• Evaluate the performance of ML models for continuous improvement.
• Collaborate with data and product engineers.
• Communicate findings to stakeholders and clients.
• Identify opportunities for machine learning impact.
• Own end-to-end machine learning projects.

Requirements

• 5+ years of data experience; 3+ years in machine learning.
• Expertise in SQL and Python.
• Knowledge of ML techniques: regression, classification, clustering.
• Experience with cloud platforms like AWS.
• Strong communication and collaboration skills.
• Analytical skills and understanding of statistical methods.
• Understanding of software engineering principles.
• Growth mindset and problem-solving ability.
• Experience with healthcare data is a plus.

Benefits

• Competitive salary and equity eligibility.
• Unlimited PTO and flexible work arrangements.
• 16 weeks paid parental leave.
• Diversity initiatives and employee resource groups.
• 401(k) matching contributions.
• Access to mentorship and development resources.