Software Engineer, Risk ML Platform

Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn't work together.
So we expanded into software and started building integrated, omnichannel solutions - to help sellers sell online, manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we've embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.
Today, we are a partner to sellers of all sizes - large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We're building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same. .
The Role
Risk ML Platform protects Square and our customers by safeguarding over $25B in payments from fraud and payment disputes. We build machine learning systems to detect potential fraud threats and provide tools for data scientists to develop models that combat fraud. Our mission is to protect Square, protect our customers, and simplify what can be a complex and sometimes challenging process for everyone.
We are seeking an experienced engineer to join the Risk ML Platform. In this role, you will work across the entire machine learning lifecycle, from training to deployment and model interpretability. As a platform engineer, you will collaborate closely with internal customers to understand their needs and translate those into scalable software solutions.
We're looking for someone with experience as both a software engineer and in machine learning, as we operate at the intersection of these two fields. Experience in building platforms is highly preferred. Beyond that:
You Will

• Develop a scalable AI platform that enable us to flag fraudulent activities
• Work hand-in-hand with ML Modelers to identify and integrate new data sources, heuristics and model types
• 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

You Have

• 3+ years of experience in training and deploying ML models, developing ML software, and shipping customer-facing ML products.
• Deep understanding of modern ML techniques (e.g. Large Language Models) and the ML lifecycle from data gathering, training, model evaluation, MLOps, and productionizing models.
• Experience with large-scale distributed systems built around ML
• Ability to produce production-quality code and services incorporating testing, evaluation, monitoring, and exquisite documentation, as well as the ability to quickly adapt to a new domain, hack MVP's, and iterate to improve product.
• Experience using any of the major cloud vendors for high scale production use cases
• Strong communication skills (verbal and written) with technical and non-technical stakeholders.

Technologies We Use and Teach

• Python, Java
• LightGBM/XGBoost, Onnx/PyTorch
• Kubernetes, AWS SageMaker, GCP Vertex
• Datadog, Sentry
• HTTP, JSON, gRPC, Protocol Buffers
• Kafka, event-driven microservice architecture

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 resource . If a location of interest is not listed, please speak with a recruiter for additional information.
Zone A:
$135,200 - $202,800 USD
Zone B:
$128,500 - $192,700 USD
Zone C:
$121,700 - $182,500 USD
Zone D:
$115,000 - $172,400 USD
Block, Inc. (NYSE: SQ) is a global technology company with a focus on financial services. Made up of Square, Cash App, Spiral, TIDAL, and TBD, 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.