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Home›Jobs›Block›Machine Learning Engineer (Modeling), Families Risk
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...

🌐 Website𝕏 TwitterAll 278 jobs →
Block

Machine Learning Engineer (Modeling), Families Risk

Block • Bay Area, CA, United States of America

Posted 4d ago🏠 RemoteMid-LevelMachine learning engineer📍 Bay area
Apply Now →

Skills & Technologies

Machine learningPythonTensorFlowPyTorch

Overview

Block is hiring a Machine Learning Engineer to develop models that enhance financial products and improve customer experiences. You'll work with Python and machine learning frameworks like TensorFlow and PyTorch in the Bay Area, with remote options available.

Job Description

Who you are

You have a strong background in machine learning and data science, with experience in developing and deploying models that drive business impact. Your proficiency in Python allows you to build robust solutions, and you are familiar with frameworks such as TensorFlow and PyTorch — you understand the intricacies of model training and evaluation. You thrive in collaborative environments, working closely with cross-functional teams to translate complex data into actionable insights. You are passionate about using technology to solve real-world problems and are eager to contribute to innovative financial solutions that benefit a diverse customer base.

Desirable

Experience with large-scale data processing and familiarity with cloud platforms like AWS or GCP would be a plus. You have a keen interest in the financial technology space and are excited about the potential of machine learning to transform traditional banking practices.

What you'll do

As a Machine Learning Engineer at Block, you will be responsible for designing and implementing machine learning models that enhance our financial products. You will analyze large datasets to identify trends and patterns, leveraging your expertise to develop predictive models that improve customer experiences. Collaborating with product managers and engineers, you will ensure that your models are integrated seamlessly into our applications, providing real-time insights and recommendations. You will also monitor model performance and iterate on designs based on feedback and new data, ensuring that our solutions remain effective and relevant.

In this role, you will have the opportunity to work on innovative projects that aim to redefine the financial landscape. You will contribute to a culture of experimentation, where you can test new ideas and approaches to problem-solving. Your work will directly impact how our customers interact with money, making it more accessible and relatable.

What we offer

At Block, we foster a culture of innovation and collaboration, where your contributions are valued and recognized. We offer flexible work arrangements, allowing you to work remotely while being part of a dynamic team. Our commitment to employee well-being includes competitive compensation, comprehensive benefits, and opportunities for professional growth. Join us in our mission to create a financial system that is open to everyone, and be part of a team that is making a difference in the lives of millions.

Interested in this role?

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