Senior Machine Learning Engineer, Platform

The mission of the Platform Product Group engineers is to build a trusted, scalable and compliant platform to operate with speed, efficiency and quality. Our teams build and maintain the platforms critical to the existence of Coinbase. There are many teams that make up this group which include Product Foundations (i.e. Identity, Payment, Risk, Proofing & Regulatory, Finhub), Machine Learning, Customer Experience, and Infrastructure.

As a machine learning engineer, you will play a pivotal role in constructing essential infrastructure for the open financial system. This involves harnessing diverse and extensive data sources, including the blockchain, to grant millions of individuals access to cryptocurrency while simultaneously identifying and thwarting malicious entities. Your impact extends beyond safeguarding Coinbase, as you'll have the opportunity to employ machine learning to enhance the overall user experience. This includes imbuing intelligence into recommendations, risk assessment, chatbots, and various other aspects, making our product not only secure but also exceptionally user-friendly.

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

• Investigate and harness cutting-edge machine learning methodologies, including deep learning, large language models (LLMs), and graph neural networks, to address diverse challenges throughout the company. These challenges encompass areas such as fraud detection, feed ranking, recommendation systems, targeting, chatbots, and blockchain mining.
• Develop and deploy robust, low-maintenance applied machine learning solutions in a production environment.
• Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources across Coinbase, fostering a culture of widespread ML utilization.

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

• 5+yrs of industry experience as a machine learning and software engineer
• Experience building backend systems at scale with a focus on data processing/machine learning/analytics.
• Experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc. 
• Working knowledge in one or more of the following: data mining, information retrieval, advanced statistics or natural language processing, computer vision.
• Exhibit our core cultural values: add positive energy, communicate clearly, be curious, and be a builder.

Nice to haves:

• BS, MS, PhD degree in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field.
• Knowledge of Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, Hadoop, Hive.
• Experience with Python.
• Experience with model interpretability, responsible AI.
• Experience with data analysis and visualization.

Job #: GPML05IN

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