Senior Machine Learning Engineer - (Platform)

Details

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.

Responsibilities

• Investigate and harness cutting-edge machine learning methodologies, including deep learning, Reinforcement Learning, 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.

Requirements

• 5+ years of industry experience in ML
• MS degree in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field
• Strong experience with at least one ML model: DNNs, GNNs, Reinforcement Learning, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.
• Solid working knowledge in one or more of the following: data mining, information retrieval, advanced statistics or natural language processing, computer vision.
• Experience building and deploying production ML systems at scale.
• Exhibit core cultural values: positive energy, communicate clearly, be curious, and be a builder.

Nice to Haves

• PhD degree strongly preferred with 3+ years of relevant experience
• Experience with Python
• Experience with data analysis and visualization

Benefits

• Medical Plan, Dental and Vision Plan with generous employee contributions
• Health Savings Account with company contributions each pay period
• Disability and Life Insurance
• 401(k) plan with company match
• Wellness Stipend
• Mobile/Internet Reimbursement
• Connections Stipend
• Volunteer Time Off
• Fertility Counseling and Benefits
• Generous Time off/Leave Policy
• The option of getting paid in digital currency