Senior Machine Learning Engineer, AI Personalization

Block builds simple, powerful tools that make progress towards an economy that’s truly open to all. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Join us.

The Role

Traditionally, ML systems were built to solve narrow tasks (e.g., item recommendations), with orchestration logic hard-coded outside the model. Increasingly, LLMs are becoming the orchestration layer, deciding which models to invoke, when to use them, how to interpret outputs, and how to chain steps together.

In this paradigm, the models we build deliver low-latency, large-scale personalization that advances Block’s mission of economic empowerment. We work closely with Design, Product, and Engineering teams across Block’s ecosystem, applying a spectrum of approaches from simple heuristics and embeddings to deep learning and large language models.

We also invest heavily in agentic engineering and AI-assisted tooling to enable high-velocity, reliable development. This includes code generation, automated testing, documentation, and developer workflows. You will play a key role in shaping how these practices apply to ML with techniques like AutoResearch

You Will

• Lead strategic initiatives in AI Personalization, driving the vision, architecture, and execution
• Develop and deploy new AI/ML models that power search & recommendations in traditional UX as well as new agentic interfaces
• Deploy to production at scale to personalize every user’s experience
• Be a technical leader and establish quality practices that stick, make broader design decisions and set an example for others to follow
• Collaborate with a cross functional team of designers, business partners, and software engineers to build new technologies and features
• Design experiments, test them on production users, analyze and repeat
  
  

You Have

• 10+ years building and operating quality software
• Domain expertise in recommender systems, ranking systems, or similar with 5+ years of experience
• Led the development of complex models trained on large datasets powering customer facing features
• Strong software engineering skills
• Strong communication skills and customer empathy
• Experience with PyTorch, PySpark, Databricks and AWS is a plus 
  
  

Technologies We Use and Teach

We work with a modern, production-grade stack that includes industry-standard tools such as PyTorch, PySpark, Prefect, and Databricks. Alongside these, a core part of the role is evaluating and prototyping with a rapidly evolving set of internal platforms and tooling.

Block is investing heavily in AI, and our modeling workflows are evolving accordingly. This creates a rare opportunity to work with emerging systems as they take shape, both leveraging them in practice and influencing how they are designed. The team is at the forefront of rethinking how models are built, validated, and deployed in an AI-first environment, with the goal of setting new industry standards.

 

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 will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. 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.

While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.