Lead development of Agentic AI capabilities and LLM applications for multiple mission management applications. Mentor teams to implement ML algorithms addressing customer challenges.
About the role
- Senior Staff Machine Learning Engineer leading AI/ML initiatives for risk detection and fraud prevention. Building production-grade models and mentoring engineering teams at Coinbase.
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, including significant experience deploying AI/ML systems into production.
- A passion for building an open financial system that connects the world and a strong desire to protect good users from bad actors.
- 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).
- Demonstrated ability to lead complex, cross-team technical initiatives and deliver impactful AI/ML solutions at scale.
- Strong communication and leadership skills, with experience influencing technical direction across engineering, product, and leadership teams.
- A proven track record of mentoring senior engineers and raising the technical bar on engineering teams.
Benefits
- bonus eligibility
- equity eligibility
- benefits (including medical, dental, and vision)
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