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Senior Deep Learning Research Engineer, Risk Labs
Senior Deep Learning Research Engineer, Risk LabsBlock • San Francisco, CA, United States
No longer accepting applications
Senior Deep Learning Research Engineer, Risk Labs

Senior Deep Learning Research Engineer, Risk Labs

Block • San Francisco, CA, United States
17 days ago
Job type
  • Full-time
Job description

Overview

Block is a company built from many blocks, united by the purpose of economic empowerment. The Risk team combines Product Development, Science, Operations, Legal, Compliance and Policy to identify, assess, and solve risk challenges across access, fraud prevention and compliance. This role is part of Block's Risk Labs, which develops advanced deep learning and reinforcement learning signals and representations for machine learning models used to address risk problems across the organization.

What You'll Be Up To

  • Reporting to the lead of the Risk Labs Modeling team
  • Dreaming up, designing, and running big experiments to quickly test ideas
  • Applying the latest theoretical breakthroughs to improve products
  • Building experiments, prototypes, and architectural designs across ML, data mining, NLP, and performance analysis
  • Contributing to the growth of new initiatives by sharing emerging trends and best practices
  • Defining data structures, frameworks, designs, and evaluation metrics for research solutions with autonomy
  • Collaborating with teams inside and outside Block to find new research areas and shape long-term strategies
  • Running experiments for research using simulations and prototypes
  • Refining research practices and hypotheses with minimal hand-holding

We’re Targeting

  • A Level 6 hire with related experience (examples) :
  • BSc with 7–10 years experience
  • MSc with 5–8 years experience
  • PhD with 3–5 years experience
  • Experience across the full ML lifecycle, with a plus for MLE / deployment experience
  • Proven track record of applied research with tangible outcomes
  • Intellectual property such as open source software, patents, or refereed publications
  • Experience with AI, deep learning, or reinforcement learning; bonus for work with LLMs
  • Strong problem-solving and creative mindset
  • Excellent cross-functional communication and ability to contribute to the research community
  • Technologies We Use and Teach

  • Python (NumPy, Pandas, scikit-learn, XGBoost, etc)
  • TensorFlow, PyTorch, Keras
  • MySQL, Snowflake, GCP / AWS, Spark
  • Equal Opportunity and Hiring Practices

    Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. Qualified applicants with criminal histories are considered on an individualized basis. Block is committed to an inclusive interview experience and provides reasonable accommodations to disabled applicants throughout the recruitment process. If accommodations are needed, please share them with your recruiter. We may use automated AI tools to evaluate applications in compliance with local regulations and privacy laws. For questions about hiring practices or data usage, contact privacy@block.xyz.

    Block, Inc. (NYSE : XYZ) builds technologies to increase access to the global economy. Our brands include Square, Cash App, Afterpay, TIDAL, Bitkey, and Proto, collectively advancing a more open financial system.

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    Senior Research Engineer • San Francisco, CA, United States

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