ChatGPT Jobs is hiring: Senior Machine Learning Engineer, Risk Modeling in Los A

Senior Machine Learning Engineer, Risk Modeling

On-site, Remote

Block - Los Angeles, CA

Estimated Pay: $132K - $174K/yr

Posted 14 hours ago

About Block
Block builds technology to increase access to the global economy. Across our ecosystem, including Square and Cash App, we create tools that help businesses run and grow, and individuals move, manage, and grow their money with confidence. Square empowers sellers of all sizes with integrated, omnichannel tools to accept payments, manage operations, access financial services, and reach customers across online and in-person channels. Cash App complements this by providing a fast, accessible financial platform for millions of people to send, spend, save, invest, and borrow, helping redefine how individuals interact with money. Operating at massive scale across both ecosystems means trust and safety are foundational. Our teams build systems that protect real people and businesses, safeguard financial activity, and ensure our products remain reliable, secure, and easy to use. Block is a global, distributed company with a culture rooted in ownership, creativity, and impact. Whether supporting sellers on Square or customers on Cash App, we’re united by a shared mission: to make the global economy more accessible and inclusive.

The Role
We’re hiring Senior Machine Learning Engineers to join Block’s Risk Machine Learning organization, where teams apply ML at massive scale to detect, prevent, and reduce fraud and abuse across Cash App and Square. This opening supports multiple senior-level roles, with team placement determined through a collaborative matching process based on your experience, interests, and current business needs. Today, we’re growing teams focused on chargeback and fraud prevention as well as trust and safety initiatives supporting Cash App Families and teen banking. Across teams, your work will directly protect our ecosystem, reduce financial loss, and enable safe, seamless financial experiences for millions of customers, sellers, and families.

Team Focus Areas

Fraud & Chargeback Risk: Build machine learning models and systems that detect fraudulent transactions, reduce chargebacks, and protect the integrity of payments across Cash App and Square.

Trust, Safety & Families: Develop machine learning systems that enable safe and trustworthy financial experiences for teens and families by detecting risky or abusive behavior, strengthening account integrity, and supporting long-term trust in Cash App.

You Will

Partner with product, engineering, data science, policy, and operations to design and productionize ML-driven risk solutions at scale

Own end-to-end machine learning systems, from problem definition and modeling to deployment, monitoring, and iteration

Lead technical decision-making within your workstreams and influence ML strategy and planning

Build tooling and processes that improve the speed, reliability, and impact of the ML development lifecycle

Apply state-of-the-art modeling techniques and third-party data sources to improve detection and decision-making

Investigate emerging fraud, abuse, and risk patterns to proactively inform product safeguards and policy

Collaborate closely with ML platform and engineering teams to ensure models operate reliably in real time and at scale

You Have

2+ years of industry experience in machine learning, applied AI, or related fields

Bachelor’s degree in a quantitative field (Computer Science, Engineering, Statistics, Physics, Applied Math); Master’s or PhD preferred

Proven experience independently designing, deploying, and maintaining ML solutions in production

Strong familiarity with techniques such as tree-based models, deep learning, transfer learning, or reinforcement learning

Experience influencing technical direction and collaborating with cross-functional partners at scale

Strong communication skills, sound judgment, and an ownership mindset

Curiosity and alignment with Block’s mission of economic empowerment

Technologies We Use and Teach

Python (NumPy, Pandas, scikit-learn, XGBoost, PyTorch, TensorFlow/Keras)

PySpark, MLflow, workflow orchestration tools (Airflow, Prefect)

GCP (Vertex AI), AWS

Snowflake, MySQL, Tableau, Mode

Containerization, CI/CD, and production ML best practices

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In Summary: Senior Machine Learning Engineer, Risk Modeling On-site, Remote Block - Los Angeles, CA Estimated Pay: $132K - $174K/yr . Your work will protect our ecosystem, reduce financial loss, and enable safe, seamless financial experiences for millions of customers, sellers, and families .

En Español:

Ingeniero senior de aprendizaje automático, Modelado de riesgos en el sitio, Block Remote - Los Ángeles, CA Pagos estimados: $132K - $174K / año Publicado hace 14 horas Sobre Block Block construye tecnología para aumentar el acceso a la economía global. En todo nuestro ecosistema, incluida Square y Cash App, creamos herramientas que ayudan a las empresas a funcionar y crecer, e individuos a moverse, administrar y hacer crecer su dinero con confianza. Square empodera a vendedores de todos los tamaños con herramienta integradas omnicanal para aceptar pagos, gestionar operaciones, acceder a servicios financieros y llegar a clientes a través de canales online y en persona. Ya sea apoyando a los vendedores en Square o clientes en Cash App, estamos unidos por una misión compartida: hacer que la economía global sea más accesible e inclusiva. El Role Estamos contratando ingenieros de aprendizaje automático senior para unirse a Block's Risk Machine Learning organización, donde los equipos aplican ML a escala masiva para detectar, prevenir y reducir el fraude y abuso a través de Cash App y Square. Esta apertura admite múltiples roles de nivel superior, con la colocación del equipo determinada mediante un proceso de emparejamiento colaborativo basado en su experiencia, intereses y necesidades comerciales actuales. A través de los equipos, su trabajo protegerá directamente nuestro ecosistema, reducirá las pérdidas financieras y permitirá experiencias financieras seguras e ininterrumpidas para millones de clientes, vendedores y familias. Áreas del equipo enfocados en el riesgo de fraude y carga: Construir modelos y sistemas de aprendizaje automático que detecten transacciones fraudulentas, reduzcan los recargos y protejan la integridad de pagos a través de Cash App y Square. Trust, Safety & Families: Desarrollar sistemas de aprendizamiento automática que permitan una experiencia financiera segura y confiable para adolescentes y familias mediante la detección de comportamientos riesgosos o abusivos, fortalecer la integrada cuenta y apoyar la confianza a largo plazo en Cash App.