Staff Applied ML Engineer - Signals & Intelligent Data

Block; Austin (TX); On-site; USD 277,000 - 415,000; Full time

Job summary

Block is seeking a Staff Applied Machine Learning Engineer focused on Intelligent Data, Signals & Systems in Austin, TX. You will build production ML systems transforming customer context into trusted signals for recommendations, ranking, and risk-aware decisioning.

You will own end-to-end systems including feature generation, serving, experiments, and monitoring, collaborating across product, growth, data, and risk functions to ensure freshness and provenance.

Qualifications

• 12+ years building and operating production software and ML systems for business-critical products.
• Deep expertise in intelligent systems such as ranking/retrieval, recommendations, search, personalization, growth and lifecycle ML, customer intelligence, propensity/churn/LTV, next-best-action, or model-derived risk signals.
• Strong production ML judgment across feature pipelines, model serving, experimentation, monitoring, feedback loops, online/offline consistency, and reliable signal interfaces.

Responsibilities

• Build and operate production ML systems that turn customer and product context into trusted signals, rankings, recommendations, and decision capabilities.
• Design production data and signal contracts that define intended use, freshness, provenance, confidence, eligibility, and calibration for downstream consumers.
• Own ranking, retrieval, recommendation, search, propensity, and next-best-action systems end to end, from feature and candidate generation through serving, experimentation, monitoring, and feedback loops.
• Evaluate customer and business impact beyond short-term conversion, including trust, fairness, access, risk, compliance, long-term engagement, and segment-level performance.
• Partner across product, growth, data, platform, modeling, risk, and compliance to translate ambiguous goals into measurable ML system designs.
• Use AI and agents to accelerate development, analysis, testing, documentation, and operations while exposing reusable capabilities to product services, internal tools, and AI‑assisted workflows.

Skills

Ranking systems

Recommendations

Search

Personalization

Growth ML

Customer intelligence

Churn/LTV

Next-best-action

Model-derived signals

Tools

Python

Java

Kotlin

SQL

TensorFlow

PyTorch

Job description

Block is seeking a Staff Applied Machine Learning Engineer focused on Intelligent Data, Signals & Systems in Austin, TX. You will build production ML systems transforming customer context into trusted signals for recommendations, ranking, and risk-aware decisioning.

You will own end-to-end systems including feature generation, serving, experiments, and monitoring, collaborating across product, growth, data, and risk functions to ensure freshness and provenance.