Coinbase

Machine Learning Platform Engineer

Coinbase

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $152,405 - $179,300 per year

Job Level

Mid-LevelSenior

Tech Stack

CloudDockerKafkaMongoDBPostgresPythonSpark

About the role

  • Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. Build the emerging onchain platform and future global financial system. Search & Recommendations Team builds a recommendations platform to personalize user experience. Design and develop a centralized platform for all Search&Recommendations use cases at Coinbase. Advocate for and ensure adoption of the platform across teams. Manage priorities, deadlines, and deliverables, leveraging technical expertise. Write high-quality, well-tested code to address critical product and business needs. Build scalable, secure systems using modern cloud technologies and industry best practices. Debug complex technical issues to enhance system reliability, scalability, and ease of operation. Review and ensure the security, scalability, and architectural integrity of feature designs across teams. Build pipelines to integrate with third-party vendors and streamline workflows.

Requirements

  • 3+ years of experience in software engineering. Proven expertise in building and maintaining production services, with a strong understanding of micro-services architecture. Experience with streaming and batch data processing pipeline on top of Kafka, Spark, Snowflake or similar technologies. Ability to write high-quality, well-tested code that meets customer needs. Deep understanding of what high-quality code and software engineering processes look like, and the ability to foster an environment that promotes them. Strong technical skills in system design and coding Good high-level grasp of AI/ML concepts like LLMs, GNNs, Deep Learning, Logistic Regression, or Gradient Boosting Trees. Passion for building an open financial system that unites the world. Excellent written and verbal communication skills, with a preference for open and transparent cultural practices.