Staff ML/AI Engineer for healthcare communication solutions at Accurx. Leading AI/ML initiatives to enhance patient communication and healthcare efficiency.
About the role
- Senior Staff Machine Learning Engineer at Coinbase leading the design of advanced AI/ML models for fraud detection and risk management. Collaborating with teams to enhance security and user protection.
Responsibilities
- Drive the end-to-end design and deployment of AI/ML models and systems that scale to millions of users
- Architect and build production-grade AI/ML models & pipelines, that enable low-latency, high-reliability predictions
- Deliver high-quality, measurable results while managing ambiguity, prioritizing technical debt, and ensuring systems evolve with business growth
- Provide technical guidance and mentorship, elevating engineering excellence across the organization
Requirements
- 10+ years of professional experience in software engineering and/or AI/ML
- Expertise in one or more areas of applied AI/ML (e.g., Risk ML, Gradient Boosting trees, large-scale deep learning, NLP/LLMs, computer vision, recommender systems, reinforcement learning, GNNs)
- Strong coding skills (e.g., Python) with deep experience in AI/ML frameworks (TensorFlow, PyTorch, etc)
- Experience building backend systems at scale with a focus on data processing, AI/ML, or analytics
- A proven track record of mentoring senior engineers and raising the technical bar on engineering teams
- Strong communication and leadership skills, with experience influencing technical direction across engineering, product, and leadership teams
Benefits
- bonus eligibility
- equity eligibility
- benefits (including medical, dental, vision and 401(k))
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Senior Machine Learning Engineer developing ML systems for healthcare communication technology at Accurx. Join our mission - driven team to solve real - world problems in healthcare.
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