Senior Machine Learning Engineer, Financial Crimes, Block
San Francisco, CA, United States of America
Block
Block is Square, Cash App, Spiral, TIDAL, TBD, and our foundational teams.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
The Block Financial Crimes Machine Learning team is responsible for detecting, preventing, and reporting illegal activity across all markets in which Block operates. We work globally with partners in business, engineering, counsel and product to ensure we are providing a safe user experience for our customers while minimizing or eliminating bad activity on our platform.
We leverage Machine Learning as an integral part of our toolkit to fulfill our mission. We employ scalable solutions in order to monitor hundreds of billions of dollars in transactions. We uncover and put an end to money laundering, terrorist financing, and other illegal activities before they impact our users. Additionally, we improve workflow and case tools, adding features that empower investigator productivity and automate the high volume of monitoring. We are looking for senior MLEs interested in building scalable frameworks for deploying machine learning solutions in production environments.
You Will
- Design and build services and tooling that support our ML modelers and analysts
- Integrate diverse data streams across products to build high-quality signals that power efficient models
- Be the MLOps lead and facilitate modelers on the team by unblocking access to the infrastructure/tools necessary for development & production work
- Develop prototypes and partner with ML modelers to encourage adoption of new tools and technologies
- Proactively identify new opportunities and future needs of our ML teams
- Lead by example by applying ML and engineering best practices
- Stay current on ML infrastructure changes at Block and advocate/educate the team about new developments by sharing resources, demos and PoCs
- Have a significant impact on influencing team culture and direction
You Have
- 5+ years of software engineering or machine learning experience
- A degree (preferable graduate level) in Computer Science, Engineering, Statistics, Physics, Applied Math or a related technical field
- An ability to maintain critical production software and build new production software from scratch
- Prior experience working with product, engineering, and business to prioritize, scope, design, and deploy ML tooling and infrastructure at scale
- Natural curiosity and desire to grow and help shape all aspects of our small and growing team
- Excellent written and oral communication skills, both technical and non-technical, and are comfortable working with a cross-functional, globally distributed team
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
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 this salaryzones.pdf" target="_blank">resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Zone A:$163,600—$245,400 USDZone B: $155,400—$233,200 USDZone C:$147,300—$220,900 USDZone D:$139,000—$208,600 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. Check out benefits at Block.
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, and TIDAL, we build tools to help more people access the economy. Square helps sellers run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. Artists use TIDAL to help them succeed as entrepreneurs and connect more deeply with fans. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
Tags: Banking Blockchain Computer Science Crypto Engineering Finance Machine Learning Mathematics ML infrastructure MLOps Open Source Physics Privacy Security Statistics
Perks/benefits: Career development Team events
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