Block

About Block

Empowering economic freedom through innovative financial solutions

🏢 Tech👥 10K-50K📅 Founded 2009📍 San Francisco, California, United States

Key Highlights

  • Public company (NYSE: SQ) with a market cap over $40B
  • Over 50 million monthly active users across its platforms
  • Headquartered in San Francisco, California
  • Offers products like Square, Cash App, and TIDAL

Block, headquartered in San Francisco, California, is a financial technology company that provides a suite of products including Square, Cash App, and TIDAL. With over 50 million monthly active users, Block is focused on economic empowerment through accessible financial services. The company went pu...

🎁 Benefits

Block offers competitive salaries, equity options, generous PTO policies, and comprehensive health benefits. Employees enjoy a flexible remote work po...

🌟 Culture

Block fosters a culture of inclusivity and innovation, encouraging diverse perspectives to drive solutions. The company emphasizes collaboration acros...

Block

Machine Learning Engineer Senior

BlockBay Area - Remote

Posted 1w ago🏠 RemoteSeniorMachine Learning Engineer📍 Bay Area💰 $228,700 - $343,100 / yearly
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Skills & Technologies

Overview

Block is seeking a Senior Machine Learning Engineer for their Financial Crimes team to design and deploy models that detect illegal activities. You'll leverage Python, AWS, and SQL to monitor transactions and ensure user safety. This role can be performed remotely from anywhere in the United States and Canada.

Job Description

Who you are

You have 5+ years of experience in machine learning and data science, with a strong background in developing and deploying models that address critical business problems. Your expertise in Python and machine learning frameworks allows you to build scalable solutions that can handle vast amounts of data. You are familiar with AWS services and have experience in deploying machine learning models in cloud environments. Your analytical skills enable you to interpret complex data sets and derive actionable insights that drive decision-making. You understand the importance of compliance and security in financial transactions, and you are committed to creating safe user experiences. You thrive in collaborative environments, working closely with cross-functional teams to achieve common goals.

Desirable

Experience in the financial sector or with financial crimes detection is a plus. Familiarity with SQL for data manipulation and analysis will enhance your ability to work with large datasets. Knowledge of additional machine learning tools and libraries will be beneficial in this role.

What you'll do

As a Senior Machine Learning Engineer at Block, you will design, develop, and deploy machine learning models that detect and prevent illegal activities across various markets. You will collaborate with engineering, product, and legal teams to ensure that the solutions you create are effective and compliant with regulations. Your role will involve monitoring billions of dollars in transactions, identifying patterns indicative of money laundering and other financial crimes. You will leverage your technical skills to implement scalable solutions that can adapt to evolving threats. You will also be responsible for conducting experiments to improve model performance and accuracy, ensuring that the systems you build are robust and reliable. Your contributions will directly impact the safety and security of Block's users, making a significant difference in the financial ecosystem.

What we offer

Block provides a flexible work environment, allowing you to work from anywhere in the United States and Canada. You will be part of a mission-driven company focused on economic empowerment, where your work will have a meaningful impact. We offer competitive compensation and benefits, along with opportunities for professional growth and development. Join us in building a financial system that is open to everyone, and help us create innovative solutions that enhance user experiences while safeguarding against illegal activities.

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