Staff Machine Learning Engineer

About the position

Based in San Francisco, Arine is a rapidly growing healthcare technology and clinical services company with a mission to ensure individuals receive the safest and most effective treatments for their unique and evolving healthcare needs. Frequently, medications cause more harm than good. Incorrect drugs and doses costs the US healthcare system over $528 billion in waste, avoidable harm, and hospitalizations each year. Arine is redefining what excellent healthcare looks like by solving these issues through our software platform (SaaS). We combine cutting edge data science, machine learning, AI, and deep clinical expertise to introduce a patient-centric view to medication management, and develop and deliver personalized care plans on a massive scale for patients and their care teams. Arine is committed to improving the lives and health of complex patients that have an outsized impact on healthcare costs and have traditionally been difficult to identify and address. These patients face numerous challenges including complicated prescribing issues across multiple medications and providers, medication challenges with many chronic diseases, and patient issues with access to care. Backed by leading healthcare investors and collaborating with top healthcare organizations and providers, we deliver recommendations and facilitate clinical interventions that lead to significant, measurable health improvements for patients and cost savings for customers.

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

Requirements

• Masters or PhD degree in Computer Science, Physical Sciences, or related field
• Demonstrated ability to train Deep Learning models using large datasets and deploy models into commercial software products
• Strong solution architecture skills and experience designing end-to-end ML systems that integrate with existing software platforms
• Meaningful experience (5+ years) working with healthcare data (e.g., medical and pharmacy claims 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
• Experience deploying on AWS with relevant automation services: Batch, Step Function, Lambda, EventBridge. Experience with Cloud Formation is a plus

Benefits

• Dynamic role and opportunity to contribute to the company's growth and shape its future
• Unparalleled learning and growth prospects
• Collaboration with experienced Clinicians, Engineers, Software Architects, and Digital Health Entrepreneurs