Senior Machine Learning Engineer

🔥 1 hour ago

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RXNT

51 - 200 employees

Founded 1999

🏥 Healthcare

☁️ SaaS

🤝 B2B

Healthcare • SaaS • B2B

RXNT is a software company that builds integrated, cloud-based medical office software for healthcare practices and billing companies. Since 1999 they have offered a full suite including Practice Management, Electronic Health Records (EHR), Electronic Prescribing (eRx), Patient Engagement, Medical Scheduling, Telehealth, mobile apps, and billing-company-specific software. RXNT also offers Ambient IQ, an AI-powered ambient listening and documentation/scribing tool to reduce clinician documentation time. Their products are HIPAA-compliant and aimed at improving workflows, revenue cycle management, and connected care for medical specialties and practices.

📋 Description

• Own the Problem Space: Translate ambiguous product concepts into concrete ML strategies • Architect for Healthcare: Fine-tune multi-modal generative models and orchestrate sophisticated AI agents • Establish Rigorous Evals: Define strict statistical and business metrics from day one • Ship & Monitor: Write production-grade Python and collaborate with engineering to deploy scalable solutions • Communicate & Execute: Operate with deep focus and autonomy

🎯 Requirements

• 5+ years of professional experience in machine learning engineering and/or data science • MS or PhD in Computer Science, Math, AI, or a related discipline (or a BSc with equivalent, proven experience) • Strong statistical foundation with expert knowledge of model architectures, data analysis, and rigorous evaluation methods • Proficient in major frameworks (e.g., PyTorch, TensorFlow, JAX) and advanced fine-tuning techniques • Practical familiarity with containerization, orchestration, cloud services (AWS, GCP, or Azure), and CI/CD pipelines

🏖️ Benefits

• RXNT offers employees access to medical insurance • 401K • short and long term disability • potential to earn quarterly incentives based on the company's performance

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