APPLIED SCIENTIST, RISK LABS

Block; San Francisco (CA); On-site; USD 205,000 - 344,000; Full time

Job summary

A leading tech company seeks an Applied Scientist to join their Risk Labs team in San Francisco. You will leverage advanced machine learning skills to develop innovative solutions for risk management. Ideal candidates possess strong programming abilities and a PhD in a quantitative field, with a proven track record in applied research and collaboration.

Benefits

Remote Work

Medical Insurance

Flexible Time Off

Retirement Savings Plans

Modern Family Planning

Qualifications

• 5+ years in data-heavy and machine learning roles.
• Proven applied research experience.
• History of generating intellectual property.

Responsibilities

• Lead experiments to validate novel ideas.
• Enhance products using the latest theoretical advancements.
• Define data structures and frameworks for research.

Skills

Machine Learning Techniques

Data Mining

Experimental Design

Programming in Python

Use of TensorFlow

Use of PyTorch

Creative Mindset

Education

PhD in a Quantitative Field

Advanced Degree in Computer Science, Physics, or Math

Tools

Python

MySQL

GCP

AWS

Spark

Job description

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

This role is part of our Block Risk Labs team which sits within our Risk organization. This teams mission is aimed at developing advanced deep learning and reinforcement learning based signals and learned representations for ML models. Our team has the mandate to explore, develop and implement alternatives to traditional feature based ML with SOTA models for solving risk problems.

You Will

• Report to the lead of the Risk Labs Modeling team
• Lead the conception, design, and implementation of large-scale experiments to validate novel ideas rapidly and comprehensively.
• Apply the latest theoretical advancements to enhance existing products, processes, and technologies, ensuring they remain at the forefront of the industry.
• Engage in the creation of experiments, prototyping, and architectural design, contributing to a diverse range of computer science domains such as machine learning, data mining, natural language processing, and performance analysis.
• Contribute to the growth of new initiatives by sharing emerging trends and best practices, fostering a collaborative and innovative environment.
• Take the lead in defining data structures, frameworks, designs, and evaluation metrics for applied research solution development, exhibiting autonomy in decision-making.
• Collaborate with internal and external partners, identifying potential applied research areas and participating in the development of long-term development strategies.
• Conduct experiments aligned with applied research inquiries, employing simulations and prototypes to assess the outcomes of investigations.
• Refine research methodologies, solidifying hypotheses, and contributing to the evolution of applied research practices under minimal supervision.

You Have

• Minimum of 5 years of hands-on experience in full-time professional, data-heavy, and machine learning focused role.
• An advanced degree (PhD preferred) in a quantitative field (computer science, physics, math, etc) with significant experience using and developing machine learning and AI methodologies.
• Proven experience in conducting applied research projects with tangible outcomes.
• A demonstrated history of generating intellectual property within the field. These contributions could take the form of open source software, patents, or refereed publications in venues such as conferences, journals, books, etc.
• Proficiency in machine learning techniques, data mining, experimental design
• Strong programming skills in languages such as Python, TensorFlow, or PyTorch.
• Creative mindset to tackle complex challenges.
• Experience collaborating with cross-functional teams and contributing to the applied research community.

Technologies We Use and Teach

• Python
• MySQL, Snowflake,
• GCP / AWS and
• Spark

Were 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 were 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.

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

To find a location’s zone designation, please refer to thisresource . If a location of interest is not listed, please speak with a recruiter for additional information.

Zone A :

228,700 — $343,100 USD

Zone B :

217,300 — $325,900 USD

Zone C :

205,900 — $308,900 USD

Zone D :

194,500 — $291,700 USD

Every benefit we offer is designed with one goal : empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block.

Block, Inc. (NYSE : XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone.

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Applied Scientist • San Francisco, CA, United States