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Home›Jobs›Coinbase›Machine Learning Engineer, Risk AI/ML
Coinbase

About Coinbase

The leading platform for cryptocurrency trading

🏢 Tech, Finance👥 1001+ employees📅 Founded 2012📍 London, Greater London, United Kingdom💰 $633.6m⭐ 3.7
FintechB2CB2BCryptocurrencySaaS

Key Highlights

  • 108 million verified users globally
  • Headquartered in London, UK
  • $633.6 million raised in funding
  • Custodian for majority of Bitcoin and Ethereum ETFs

Coinbase is the world’s leading exchange for digital currencies, serving over 108 million verified users globally. Headquartered in London, Coinbase has raised $633.6 million in funding and is a key player in the fintech industry, focusing on both B2C and B2B services. The company has evolved to cat...

🎁 Benefits

Coinbase offers competitive salaries, equity options, generous PTO policies, and a remote-friendly work environment. Employees also benefit from a lea...

🌟 Culture

Coinbase fosters a culture of accessibility and innovation in the cryptocurrency space. The company is committed to evolving with the market and activ...

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Coinbase

Machine Learning Engineer, Risk AI/ML

Coinbase • Remote - Canada

Posted 1 month ago🏠 RemoteMachine learning engineer📍 Canada
Apply Now →

Skills & Technologies

PythonTensorFlowKerasAWSSQL

Overview

Coinbase is seeking a Machine Learning Engineer for their Risk AI/ML team to build sophisticated models that protect customers and enhance platform trust. You'll work with technologies like Python, TensorFlow, and AWS. This role requires a strong background in machine learning and data analysis.

Job Description

Who you are

You have a strong background in machine learning and data analysis, with experience in building and deploying models that address complex problems. You are proficient in Python and familiar with frameworks such as TensorFlow and Keras, enabling you to develop robust machine learning solutions. Your understanding of cloud platforms like AWS allows you to efficiently manage and scale your models. You are comfortable working with SQL for data manipulation and analysis, ensuring data integrity and accessibility for your projects. You thrive in a collaborative environment, actively seeking feedback and engaging with high-caliber colleagues to enhance your skills and contributions. You are passionate about the mission of increasing economic freedom and believe in the transformative power of crypto and blockchain technology.

What you'll do

As a Machine Learning Engineer at Coinbase, you will join the Risk AI/ML team dedicated to developing sophisticated models that protect our customers from fraud, account takeovers, and scams. You will be responsible for designing, implementing, and optimizing machine learning algorithms that enhance the security and trustworthiness of our platform. Your work will involve analyzing large datasets to identify patterns and anomalies, allowing you to create predictive models that mitigate risks effectively. You will collaborate closely with cross-functional teams, including data scientists and software engineers, to integrate your models into the broader Coinbase ecosystem. You will also participate in the continuous improvement of our machine learning processes, experimenting with new techniques and technologies to stay ahead of emerging threats. Your contributions will directly impact the safety and reliability of our services, making a significant difference in the user experience.

What we offer

At Coinbase, we foster a culture of collaboration and innovation, where your ideas and contributions are valued. We provide opportunities for professional growth and development, encouraging you to take on challenges that push your limits. Our remote-first approach allows for flexibility, while in-person participation is encouraged during team offsites to strengthen connections and alignment. We offer competitive compensation and benefits, ensuring that you are rewarded for your hard work and dedication. Join us in building the future of finance and making a meaningful impact in the world of cryptocurrency.

Interested in this role?

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