Senior Staff Machine Learning Engineer - Platform

Coinbase; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Join a forward-thinking company on a mission to revolutionize the financial system through blockchain technology. As a Senior Staff Machine Learning Engineer, you'll leverage cutting-edge machine learning techniques like deep learning and large language models to build essential infrastructure for an open financial system. Your work will not only enhance user experience but also protect against malicious activities, ensuring a secure and user-friendly platform for millions. This role offers a unique opportunity to collaborate with top-tier professionals while making a significant impact in the evolving world of cryptocurrency.

Qualifications

• 10+ years of experience in machine learning and software engineering.
• Expertise in building scalable backend systems focused on data processing.

Responsibilities

• Investigate and apply advanced machine learning methodologies for various challenges.
• Develop and deploy machine learning solutions in a production environment.

Skills

Machine Learning

Software Engineering

Data Processing

Deep Learning

Fraud Detection

Recommendation Systems

Analytics

Model Interpretability

Responsible AI

Education

BS in Computer Science

MS in Machine Learning

PhD in Data Mining

Tools

Apache Airflow

Spark

Flink

Kafka/Kinesis

Snowflake

Hadoop

Hive

Python

Job description

Ready to be pushed beyond what you think you’re capable of?

At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.

Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.

About Coinbase

Founded in 2012, Coinbase is on a mission to increase economic freedom for more than 1 billion people globally. With $300+ billion USD traded in a single quarter in 100+ countries, our team of mission-driven overachievers is helping update the centuries-old financial system by establishing itself as the most trusted place for people and businesses to buy, sell, and use crypto.

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 Senior Staff 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):

• 10+ years 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.
• 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.