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Home›Jobs›Block›Senior Machine Learning Engineer (Modeling), Support
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 294 jobs →
Block

Senior Machine Learning Engineer (Modeling), Support

Block • Bay Area, CA, United States of America

Posted 1d agoSeniorMachine learning engineer📍 Bay area
Apply Now →

Skills & Technologies

Machine learningGenerative aiPythonTensorFlowKeras

Overview

Block is hiring a Senior Machine Learning Engineer to lead R&D efforts in developing next-generation chatbot architectures and deploying ML models for customer support. You'll work with technologies like Python and TensorFlow to enhance automated support systems.

Job Description

Who you are

You have 5+ years of experience in machine learning and a strong background in developing and deploying ML models. Your expertise includes working with generative AI and conversational agents, and you are passionate about building intelligent systems that enhance customer experiences. You are proficient in Python and have hands-on experience with frameworks like TensorFlow and Keras, enabling you to design and implement complex machine learning solutions. You thrive in collaborative environments and enjoy working with cross-functional teams to drive innovation in customer support.

Desirable

Experience with large language models (LLMs) and retrieval-augmented generation (RAG) techniques is a plus. Familiarity with real-time inference systems and chatbot architectures will set you apart. You are also comfortable with data-driven decision-making and have a keen interest in exploring new technologies that can improve support quality and efficiency.

What you'll do

In this role, you will lead research and development efforts to explore and prototype next-generation chatbot architectures. You will design and deploy machine learning models that power conversational agents, ensuring they are scalable and effective in enhancing customer support experiences. Your work will involve collaborating with product teams to understand user needs and translating them into technical solutions that leverage machine learning and AI.

You will also be responsible for conducting experiments to evaluate the performance of various models and iterating on designs based on feedback and data analysis. Your contributions will directly impact the quality and accessibility of support across Block's ecosystem, including Cash App and Square. You will have the opportunity to mentor junior engineers and share your knowledge of best practices in machine learning and AI development.

What we offer

At Block, you will be part of a mission-driven company focused on economic empowerment. We offer a collaborative work environment where innovation is encouraged, and diverse perspectives are valued. You will have access to professional development opportunities and the chance to work on cutting-edge technologies that shape the future of customer support. We believe in fostering a culture of learning and growth, and we encourage you to apply even if your experience doesn't match every requirement. Join us in building intelligent systems that make a difference in people's lives.

Interested in this role?

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