Coinbase

Senior Machine Learning Engineer – Core Automation

Coinbase

full-time

Posted on:

Origin:  • 🇨🇦 Canada

Visit company website
✨ AI Apply
Manual Apply

Salary

💰 $191,100 per year

Job Level

Senior

Tech Stack

AirflowApacheKafkaPythonSpark

About the role

  • Explore and apply advanced machine learning techniques, including large language models (LLMs) and deep learning, to solve complex challenges across the organization.
  • Drive project execution by managing priorities, deadlines, and deliverables, leveraging your technical expertise.
  • Develop high-quality, well-tested Python code to address critical product and business needs.
  • Design scalable, secure systems using state-of-the-art AI/ML technologies and industry best practices.
  • Mentor team members on design principles, coding standards, and the adoption of AI productivity tools.
  • Troubleshoot and resolve complex technical issues to improve system reliability, scalability, and operational efficiency.
  • Ensure the security, scalability, and architectural integrity of feature designs through thorough reviews across teams.

Requirements

  • 5+ years of experience in machine learning and software engineering.
  • Proven expertise in designing, building, scaling, and maintaining production services, with a strong focus on data processing/machine learning/analytics.
  • Hands-on experience with at least one ML model type, such as LLMs, GNNs, Deep Learning, Logistic Regression, or Gradient Boosting Trees.
  • Proficiency in one or more areas, including data mining, information retrieval, advanced statistics, natural language processing, or computer vision.
  • Ability to write high-quality, well-tested code that effectively addresses customer needs.
  • Passion for building an open financial system that connects the world.
  • Exceptional written and verbal communication skills, with a commitment to open and transparent cultural practices.
  • Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field.
  • Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks.
  • Familiarity with model interpretability and responsible AI practices.
  • Expertise in data analysis and visualization.