Senior Deep Learning Scientist, Risk Labs

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.

The Role

Since Block's inception, our innovative and technology-forward approach to risk management and customer protection has been fundamental to how we invent and build financial products. The Risk team at Block continues this legacy through a sophisticated, technology and science-led approach to protecting our customers and their funds. Our interdisciplinary structure combines Product Development, Science teams (specializing in modeling, analytics, and data science), Operations and key partners including Legal, Compliance and Policy, all working in concert to identify, assess, and solve complex risk challenges across access, fraud prevention and compliance.

This role is part of our Risk Labs team - this team’s mission is aimed at developing advanced deep learning and reinforcement learning based signals and learned representations for machine learning models. In this role, you’ll explore, develop and implement alternatives to traditional feature based ML with state-of-the-art models for solving risk problems. This team works across a wide-swath of the Risk organization touching a variety of use cases and collaborating with a diverse set of teams.

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 out cool (and practical) ideas
• Applying the latest theoretical breakthroughs to make our products even better
• Building experiments, prototypes, and architectural designs across computer science fields like ML, data mining, NLP, and performance analysis
• Contributing to the growth of new initiatives by sharing emerging trends and best practices, fostering a collaborative and innovative environment
• Taking the lead on defining data structures, frameworks, designs, and evaluation metrics for your research solutions – you'll have a lot of autonomy here
• Teaming up with folks inside and outside Block to find new research areas and shape our long-term strategies
• Running experiments for your research, using simulations and prototypes to see what happens
• Refining how we do research, solidifying your hypotheses, and helping evolve our practices with minimal hand-holding

We’re Targeting

• A Level 6 hire, which usually means something like: 
• Someone who's been through the whole ML cycle, with a big plus for experience on the MLE/deployment side
• Proven experience in conducting applied research projects with tangible outcomes
• Some intellectual property under your belt - these contributions could take the form of open source software, patents, or refereed publications in venues such as conferences, journals, books, etc.
• Experience with AI, deep learning, or reinforcement learning is key, and bonus points if you've done unique things with LLMs
• Excellent problem-solving abilities and a creative mindset to tackle complex challenges
• A great communicator - someone who can easily chat with different cross-functional teams and contribute to the research community

Technologies We Use and Teach

• Python (NumPy, Pandas, sklearn, XGBoost, etc)
• TensorFlow, Pytorch, keras, etc
• MySQL, Snowflake, GCP/AWS and Spark

We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page.

Block will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.