Principal MLOps Engineer leading design and optimization of machine learning infrastructure at Wood Mackenzie. Collaborating with data science and engineering teams to ensure robust automated ML lifecycles.
About the role
- Senior Staff Machine Learning Engineer at Coinbase leading design and implementation of AI/ML models for risk and fraud prevention. Collaborating across teams to protect users and build scalable solutions.
Responsibilities
- Lead Strategic AI/ML Initiatives: Drive the end-to-end design and deployment of AI/ML models and systems that scale to millions of users. You will investigate and harness cutting-edge methodologies (e.g., large-scale deep learning, LLMs, GNNs, reinforcement learning) to address diverse challenges like fraud detection, recommender systems, feed ranking, and risk assessment.
- Architect Scalable Models & Systems: Architect and build production-grade AI/ML models & pipelines, that enable low-latency, high-reliability predictions. You will develop and deploy robust, low-maintenance applied AI/ML solutions
- Drive Execution & Collaboration: Deliver high-quality, measurable results while managing ambiguity, prioritizing technical debt, and ensuring systems evolve with business growth. You must have solid communication skills to collaborate with and influence stakeholders with various technical and non-technical backgrounds.
- Elevate AI/ML & Engineering Excellence, Mentorship: Provide technical guidance and mentorship, elevating engineering excellence across the organization. You will help democratize access to AI/ML by creating onboarding codelabs, tools, and infrastructure to foster a culture of widespread AI/ML across the team, org and Coinbase.
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. You are motivated by the challenges of fighting fraud, detecting scams, preventing account takeovers, and generally thwarting "baddies." You exhibit our core cultural values: add positive energy, communicate clearly, be curious, and be a builder.
- 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.
- 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, vision and 401(k))
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