Machine Learning Engineer - Remote

Overview

As a Machine Learning Engineer at Coinbase, you will be part of a team dedicated to developing sophisticated ML models that enhance platform security and user experience through personalized recommendations.

In Short

• Develop, productionize, and operate Machine Learning models and pipelines at scale.
• Contribute to ML models for Risk, integrating Blockchain and AI technologies.
• Collaborate with senior engineers and product partners to identify new use cases for ML on blockchain.
• 2+ years of industry experience as a Machine Learning Engineer.
• Solid software engineering skills required.
• Experience with ML platforms like TensorFlow and PyTorch.
• Familiarity with supervised and unsupervised learning techniques.
• Willingness to learn and adapt to new technologies.
• Crypto-forward experience is a plus.
• Master's degree or PhD in a related field is preferred.

Requirements

• 2+ years of industry experience as a Machine Learning Engineer.
• Solid software engineering skills.
• Experience with coding on ML platforms (e.g., TensorFlow, PyTorch).
• Experience with basic ML techniques (e.g., supervised and unsupervised learning).
• Willingness to learn and adapt to new technologies and challenges.

Benefits

• Target annual salary range of $147,900 - $174,000.
• Includes target bonus, equity, and benefits (medical, dental, vision, 401(k)).