Hybrid Senior Machine Learning Platform Engineer

at Coinbase

• Job title: Senior Machine Learning Platform Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: $186,065 - $225,000 per year
• Degree requirement: No Education Requirement
• Tech skills: Distributed Systems
• Location requirements: Hybrid, United States

About the role

• Senior Machine Learning Platform Engineer building foundational components for machine learning at Coinbase. Mentoring junior engineers and leading infrastructure optimization for high-availability streaming and ML models.

Responsibilities

• Form a deep understanding of our Machine Learning Engineers’ needs and our current capabilities and gaps.
• Mentor our talented junior engineers on how to build high quality software, and take their skills to the next level.
• Continually raise our engineering standards to maintain high-availability and low-latency for our ML inference infrastructure that runs both predictive ML models and LLMs.
• Optimize low latency streaming pipelines to give our ML models the freshest and highest quality data.
• Evangelize state-of-the-art practices on building high-performance distributed training jobs that process large volumes of data.
• Build tooling to observe the quality of data going into our models and to detect degradations impacting model performance.

Requirements

• 5+ yrs of industry experience as a Software Engineer.
• You have a strong understanding of distributed systems.
• You lead by example through high quality code and excellent communication skills.
• You have a great sense of design, and can bring clarity to complex technical requirements.
• You treat other engineers as a customer, and have an obsessive focus on delivering them a seamless experience.
• You have a mastery of the fundamentals, such that you can quickly jump between many varied technologies and still operate at a high level.

Benefits

• benefits (including medical, dental, vision and 401(k))