Senior ML Platform Engineer — Build Scalable, Low-Latency ML

Unchain Data; United States; Remoto; USD 186.000 - 225.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical, dental, vision

401(k)

Descrizione del lavoro

Coinbase is seeking a Senior Machine Learning Platform Engineer to join the ML Platform team. You will build foundational components for feature engineering and training/serving ML models at scale, applying skills across streaming, distributed training, and online services.

You will mentor engineers, raise engineering standards, and help deliver a seamless experience for ML engineers while maintaining high availability and performance.

Competenze

• 5+ years of industry experience as a Software Engineer.
• Strong understanding of distributed systems.
• Lead by example through high quality code and excellent communication.
• Great design sense and ability to clarify complex technical requirements.
• Treat other engineers as a customer with a seamless experience.
• Mastery of fundamentals to quickly jump between varied technologies.

Mansioni

• Understand ML engineers' needs and current capabilities.
• Mentor junior engineers to write high quality software.
• Maintain high availability and low latency for ML inference infrastructure.
• Optimize low latency streaming pipelines for fresh data.
• Promote best practices for large-scale distributed training jobs.
• Build tooling to observe data quality and detect degradations.

Conoscenze

Distributed systems

Code quality

Communication

System design

Mentorship

Strumenti

Python

Golang

Ray

Tecton

Spark

Airflow

Databricks

Snowflake

DynamoDB

Descrizione del lavoro

Coinbase is seeking a Senior Machine Learning Platform Engineer to join the ML Platform team. You will build foundational components for feature engineering and training/serving ML models at scale, applying skills across streaming, distributed training, and online services.

You will mentor engineers, raise engineering standards, and help deliver a seamless experience for ML engineers while maintaining high availability and performance.