Staff Machine Learning Engineer, Modeling

Block

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$276,800–$415,200 / yr
Posted
11 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $223k
This role $346k
$151k most similar roles pay here $443k

This role pays more than 99% of similar roles. Most pay $192,050–$254,750 — the shaded band above. At the midpoint, this role pays about $346k versus about $223k 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 43 open roles on FindRole.

Listed pay typically runs $217,800–$326,800 across 43 roles with salary data.

Most-posted roles

View all roles at Block

At a glance

TL;DR · Staff Machine Learning Engineer, Modeling

Careers - Staff Machine Learning Engineer (Modeling), Support joins the Support ML Modeling team to drive innovation in customer support experiences across the Block ecosystem, including Cash App and Square. This role focuses on advancing intelligent, automated support through machine learning and generative AI. You will lead the end-to-end delivery of multiple initiatives, from planning and design to long-term maintenance. Key responsibilities include conducting R&D for next-generation chatbot architectures using LLMs, RAG, fine-tuning, and real-time inference, while developing ML-powered tools and recommendation systems to enhance agent effectiveness. The role requires expertise in Python, PyTorch, TensorFlow, or JAX, alongside a strong foundation in NLP, deep learning, and ML infrastructure. You will solve complex problems related to conversational AI, building scalable systems that improve support quality and accessibility for diverse products within the company's portfolio.

What does a Machine Learning Engineer earn in Washington?

Median $241750 from 67 postings across 12 companies.

See salary data

What you'll do

  • Lead the end-to-end delivery of ML initiatives from initial planning and design through rollout and maintenance.
  • Drive R&D efforts exploring next-generation chatbot architectures using LLMs, RAG, fine-tuning, and real-time inference.
  • Design, deploy, and maintain ML models that power conversational agents for Cash App, Square, and other products.
  • Develop ML-powered tools and real-time recommendation systems to improve support agent effectiveness and customer outcomes.
  • Partner with cross-functional leaders to define and drive long-term ML roadmaps based on industry trends.
  • Identify new AI opportunities and advise leadership on strategic technical tradeoffs.
  • Act as the technical representative for the team by communicating results to stakeholders and external audiences.

What we're looking for

  • 10+ years of experience in machine learning, applied AI, or product ML roles with deep technical expertise.
  • Demonstrated leadership capabilities to influence cross-functional teams and provide technical guidance to peers.
  • Proven track record of delivering organizational-wide impact by shaping systems, frameworks, or initiatives across multiple functions.
  • Experience shipping end-to-end ML features from problem framing through deployment and long-term maintenance.
  • Demonstrated experience with language models, dialog systems, or generative AI in production.
  • Strong foundation in NLP, deep learning, or ML infrastructure best practices.
  • Excellent communication skills to represent team work to leadership and stakeholders.
  • Experience with Python, PyTorch, TensorFlow, or JAX.

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