Lead a team of engineers to build the next generation of the Machine Learning Platform
Build foundational components for feature engineering and training/serving ML models used for fraud detection, personalization, and blockchain analysis
Apply skills across stream processing, distributed training, and highly available online services
Form a deep understanding of ML Engineers’ needs and current platform capabilities and gaps
Collaborate with engineers, designers, product managers, and senior leadership to translate vision into a quarterly roadmap
Break down complex projects and lead iterative design and implementation
Coach reports to build high quality software and develop their skills
Work with talent organization to identify and recruit exceptional engineers
Continually raise engineering standards to maintain high-availability and low-latency of critical ML systems
Collaborate across the industry and act as a thought leader in MLOps
Requirements
7+ yrs of industry experience as a Software Engineer
At least 2 years managing a team of engineers
Deep understanding of distributed systems
Great sense of design and ability to bring clarity to complex technical requirements
Treat other engineers as a customer with an obsessive focus on delivering a seamless experience
Execution-focused mindset, capable of navigating ambiguity and delivering results
Mastery of fundamentals across varied technologies
Ability to be hands-on: writing/reviewing code, participating in on-call rotations and leading incidents, triaging/troubleshooting bugs
Passion for Coinbase's mission and belief in the power of crypto and blockchain technology
Answers to crypto-related questions may be used to evaluate onchain experience
Nice to have: Experience building ML models and working with ML systems
Nice to have: Experience working on a platform team and building developer tooling
Benefits
target bonus
target equity
benefits (including medical, dental, vision and 401(k))
Team and company-wide offsites multiple times annually (attendance expected and fully supported)
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