Senior ML Engineer — AI-Driven Personalization & Real-Time

Royper Royco LLC; United States; Remote; USD 214.000 - 225.000; Vollzeit

Benefits dieser Stelle

Equity

Bonus eligibility

Medical/Dental/Vision

401(k)

Zusammenfassung

Coinbase is seeking a Senior Machine Learning Engineer (L5) to own end-to-end ML initiatives in the ML & Discovery team within Consumer Growth. You will shape models that power personalized feeds, recommendations, and real-time market insights for millions of users.

Partner with Product, Data Science, and Engineering to drive roadmap, improve reliability, and deploy AI-native workflows. 5+ years of experience and strong Python/Go skills are required.

Qualifikationen

• 5+ years of experience in machine learning engineering and software development.
• Proven track record in production ML systems with impact on user metrics.
• Strong backend skills in Python or Go; experience with modern ML/data stacks.

Aufgaben

• Own end-to-end ML initiatives from problem formulation to production deployment.
• Build and iterate on multi-stage models serving millions of users across multiple domains.
• Design intelligent notification and ranking systems for personalized user experiences.
• Develop production LLM pipelines and automated evaluation loops for real‑time insights.
• Architect low-latency services and real-time feature pipelines; lead incident response.
• Mentor junior engineers and help shape the team roadmap with AI-native workflows.

Kenntnisse

ML engineering

Software development

Python

Go

PyTorch

Spark/Databricks

Online A/B testing

Mentoring

Tools

Kafka

Spark/Databricks

Ray

Tecton

Jobbeschreibung

Coinbase is seeking a Senior Machine Learning Engineer (L5) to own end-to-end ML initiatives in the ML & Discovery team within Consumer Growth. You will shape models that power personalized feeds, recommendations, and real-time market insights for millions of users.

Partner with Product, Data Science, and Engineering to drive roadmap, improve reliability, and deploy AI-native workflows. 5+ years of experience and strong Python/Go skills are required.