Senior Staff Machine Learning Engineer, Risk AI/ML

Coinbase Careers Page

9h • Hybrid

About The Position

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.
While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.
As a Senior Staff Machine Learning engineer at Coinbase, you will be a steward of our architecture, operations, scale, and security. you’ll be building the critical infrastructure for the open financial system -- tapping into a variety of large data sources such as the blockchain -- to provide millions of people access to crypto while detecting and preventing bad actors. You’ll not only have the chance to drive significant impact from protecting Coinbase, you’ll also leverage machine learning to make our product delightful by adding intelligence to news, notifications, risk, and much more. You will help us recruit and develop world-class engineers that represent the best in the industry. You will look outward as well as inward, aligning our executive team and product strategy with changes in technology, and help us create an innovative culture.
While you need to be strategic in your thinking, this is also very much a “hands-on” job - there are no ivory towers or “architect-only” roles. You should be able to dive deep into code and implement complex systems where necessary. You must be willing to operate without boundaries and be able and willing to fix problems anywhere you find them.

Requirements

• 12+ yrs of industry experience as a machine learning engineer
• Experience with at least one ML model: Logistic Regression, Gradient Boosting trees, Deep learning, etc.
• Experience with data analysis, feature exploration, ETL, and visualization.
• Experience in one or more of the following: data mining, information retrieval, advanced statistics or natural language processing, computer vision.
• Experience building backend systems at scale with a focus on data processing/machine learning/analytics.
• 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.

Responsibilities

• Build and launch excellent productionalized, low-maintenance models.
• Build features and success metrics by disambiguating requirements.
• Leverage state of the art machine learning techniques for a variety of problems across the company including fraud, feed ranking, recommendations and targeting, blockchain mining.
• Setup A/B experiments and iterate until impact is landed.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree