Machine Learning Platform Engineer for Coinbase, building foundational components for ML at scale. Collaborating on fraud combat, personalizing user experiences, and blockchain analysis.
Responsibilities
Form a deep understanding of our Machine Learning Engineers’ needs and our current capabilities and gaps.
Advance our high-availability and low-latency 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
2+ yrs of industry experience as a Software Engineer.
You have a strong understanding of distributed systems.
You write high quality code and have excellent communication skills.
You’ve designed, built, scaled and maintained production services.
You treat other engineers as a customer, and have an obsessive focus on delivering them a seamless experience.
Nice to haves:
Experience building ML models and working with ML systems.
Experience working on a platform team, and building developer tooling.
Experience with the technologies we use (Python, Golang, Ray, Tecton, Spark, Airflow, Databricks, Snowflake, and DynamoDB).
Benefits
bonus eligibility
equity eligibility
benefits (including medical, dental, vision and 401(k))
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