Staff ML Engineer - Signals & Personalization (Remote)

Block; San Francisco (CA); On-site; USD 276,800 - 415,200; Full time

Benefits offered by this job

Remote work

Medical insurance

Flexible time off

Retirement savings plans

Modern family planning

Job summary

Block is seeking a Staff Applied Machine Learning Engineer in San Francisco to build production ML systems focused on customer intelligence. You'll be responsible for transforming customer behavior and product context into actionable insights, driving decision-making for product and growth teams.

The ideal candidate will have over 12 years of experience in production software and ML systems. Join us to contribute to a more inclusive economy while working in a supportive environment that promotes fairness and opportunity.

Qualifications

• 12+ years building and operating production software and ML systems for business-critical products.
• Deep expertise in intelligent ML systems such as ranking/retrieval and recommendations.
• Strong production ML judgment across feature pipelines and model serving.

Responsibilities

• Build and operate production ML systems that turn customer context into trusted signals.
• Design data and signal contracts defining use and freshness.
• Own ranking, retrieval, and recommendation systems from end to end.

Skills

Production software and ML systems

Intelligent systems

Feature pipelines

Customer intelligence

Experimentation

Tools

Python

TensorFlow

Kubernetes

Job description

Block is seeking a Staff Applied Machine Learning Engineer in San Francisco to build production ML systems focused on customer intelligence. You'll be responsible for transforming customer behavior and product context into actionable insights, driving decision-making for product and growth teams.

The ideal candidate will have over 12 years of experience in production software and ML systems. Join us to contribute to a more inclusive economy while working in a supportive environment that promotes fairness and opportunity.