Machine Learning Engineer - Platform

We are looking for an aspiring Machine Learning Engineer to join our team.

The Coinbase Machine Learning team is committed to developing sophisticated ML models that make our platform more secure, expand usage of Coinbase through personalized recommendations, and improve the user experience for our customers.

Our mission is to keep building scalable, adaptive, blockchain aware ML systems that help our users explore and discover new use cases for Crypto on Coinbase and on the blockchain.

The Machine Learning org is a part of our Platform Product Group.

The Platform Product Group’s mission is to build a trusted, scalable, and compliant platform to maximize velocity, efficiency and quality.

They build the foundations that can be used by multiple products and teams at Coinbase so that users can have a consistent and high-quality experience.

What you’ll be doing (ie. job duties):

• Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale
• Contribute to our ML models for Risk, work at the intersection of Blockchain and AI technologies
• Work with our senior engineers and collaborate with our product partners to identify and solve new use cases for ML on blockchain

What we look for in you (ie. job requirements):

• 2+ yrs 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

Nice to Have:

• Crypto-forward experience, including familiarity with onchain activity such as interacting with Ethereum addresses, using ENS, and engaging with dApps or blockchain-based services.
• Master's degree or PhD in Machine Learning, Computer Science or related field
• Interest in DNNs, GANS, GNNs and Time Series modeling is a plus