Careers - Senior Machine Learning Engineer, AI Personalization

Block

Quick summary

Work type
On-site
Location
Bay Area, California
Salary
$228,700–$343,100 / yr
Posted
45 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $210k
This role $286k
$151k most similar roles pay here $364k

This role pays more than 95% of similar roles. Most pay $173,662–$246,150 — the shaded band above. At the midpoint, this role pays about $286k versus about $210k for comparable roles.

Based on 240 similar postings.

Employer

About Block

Block, Inc. (formerly Square) is a financial technology company operating the Square merchant payments ecosystem, Cash App peer-to-peer payments, TIDAL music streaming, and Bitcoin-focused financial services. Industry: Financial Technology & Payments

Block currently has 70 open roles on FindRole.

Listed pay typically runs $180,000–$270,000 across 57 roles with salary data.

Most-posted roles

View all roles at Block

At a glance

TL;DR · Careers - Senior Machine Learning Engineer, AI Personalization

Join Block’s cutting-edge team as a senior technical leader in AI Personalization, where you will drive the vision and architecture for low-latency, large-scale personalization using advanced ML techniques. You’ll lead strategic initiatives, develop and deploy complex models that power search and recommendations across traditional UX and new agentic interfaces, ensuring high-velocity development through agentic engineering practices like AutoResearch. With a focus on quality and reliability, you will collaborate closely with cross-functional teams to build innovative features and conduct user experiments to refine your approach. Ideal candidates have over 10 years of software development experience, deep expertise in recommender systems or similar domains, and proficiency in PyTorch, PySpark, Databricks, and AWS. This role offers a unique chance to work with emerging AI technologies and influence their design as Block sets new industry standards for model deployment and validation.

What you'll do

  • Lead the development and deployment of AI/ML models for search and recommendations.
  • Drive strategic initiatives in AI Personalization with vision and technical leadership.
  • Establish quality practices and set examples for broader design decisions.
  • Design and execute experiments on production users, analyzing results iteratively.
  • Collaborate to build new technologies and features using modern software stacks.

What we're looking for

  • 10+ years of experience in building and operating high-quality software systems.
  • Proven expertise in developing complex AI/ML models for customer-facing features.
  • Extensive domain knowledge in recommender or ranking systems with large datasets.
  • Strong background in software engineering and hands-on experience with PyTorch, PySpark, Databricks, and AWS.
  • Excellent communication skills and a deep understanding of user needs and experiences.
  • Leadership experience in establishing technical quality practices and influencing design decisions.

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