Staff Machine Learning Engineer

Summary

Join Arine, a rapidly growing healthcare technology company, and contribute to our mission of improving patient outcomes and lowering healthcare costs. As a Data Scientist, you will leverage large health datasets to develop and deploy advanced predictive models and AI-based tools within our medication management platform. This dynamic role offers significant growth opportunities and involves collaboration with clinicians, researchers, engineers, and entrepreneurs. You will automate model training and evaluation, maintain a clean code base, and communicate findings to stakeholders. Arine provides a supportive team culture, a chance to make a real difference in healthcare, and significant market opportunity within a rapidly expanding company.

Requirements

• Masters or PhD degree in Computer Science, Physical Sciences, or related field
• Strong solution architecture skills and experience designing end-to-end ML systems that integrate with existing software platforms
• Demonstrated ability to train Deep Learning models using large datasets and deploy models into commercial software products
• Meaningful experience (3+ years) working with Electronic Health Record (EHR) data
• Experience with PyTorch, Python, scikit-learn, pandas, NumPy, and Snowflake SQL
• Experience working cross-functionally to define analyses objectives and deliver analytical results
• Demonstrated ability to work independently, exercise good judgment, prioritize multiple projects, and problem solve under tight deadlines and resource constraints
• Excellent written, interpersonal communication and presentation skills, including ability to present complex technical concepts in a clear, concise manner to audiences with varying levels of technical understanding
• Ability to pass a background check
• Must live in and be eligible to work in the United States

Responsibilities

• Develop and deploy advanced predictive ML models and AI-based tools into Arine’s medication management platform
• Automate model training, evaluation, inference, and monitoring
• Establish and maintain a clean code base
• Create presentations and reports to communicate updates to the Data Science team and cross-functional stakeholders
• Participate in critical reviews within the Data Science team on everything from methods used to implementation strategy and code

Preferred Qualifications

• Bonus points for experience merging EHR data with medical / pharmacy claims data, having a detailed understanding of EHR data models, and / or with building NLP pipelines to process Clinical Notes and other unstructured data elements
• Experience deploying on AWS with relevant automation services: Batch, Step Function, Lambda, EventBridge. Experience with Cloud Formation is a plus

Benefits

The salary range for this position is: $180,000-200,000/year