Staff Machine Learning Engineer (Modeling), Support

Block, Inc

• $276K — $415K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years in machine learning, applied AI, or product ML roles with deep technical expertise
  • Strong leadership skills to influence and align diverse teams
  • Track record of creating impactful systems and initiatives across various functions
  • Experience delivering ML features from problem framing to deployment and maintenance
  • Proficiency in language models and generative AI used in production
  • Solid foundation in NLP, deep learning, or ML infrastructure best practices
  • Excellent communication abilities for stakeholder and leadership engagement
  • Passionate about R&D in applied AI for conversational systems

Responsibilities

  • Lead end-to-end delivery of ML initiatives from planning to maintenance
  • Collaborate with cross-functional leaders to shape long-term ML roadmaps
  • Identify new ML/AI opportunities and advise on strategic initiatives
  • Drive R&D for next-gen chatbot architectures using LLMs and fine-tuning
  • Design and maintain ML models for conversational agents across Block products
  • Develop tools and recommendation systems to improve agent performance and customer outcomes
  • Represent the team's systems to stakeholders and external audiences

Benefits

  • Remote work flexibility
  • Comprehensive medical insurance
  • Generous flexible time off policy
  • Retirement savings plans
  • Modern family planning options
Full Job Description
The Role

Block's Support ML Modeling team is a central driver of innovation in customer support experiences across our entire ecosystem-including Cash App, Square, and other business units. We are dedicated to advancing the state of intelligent, automated support through machine learning and generative AI. From customer-facing chatbots to smart internal tools for agents, our team builds high-impact, scalable systems that improve support quality, efficiency, and accessibility.

We're building the future of support at Block: one powered by AI, voice interfaces, and smart automation. We're looking for candidates with a passion for intelligent systems, practical ML experience, and a desire to build product-driven solutions. Our ideal candidate is a leader in the field, with a proven track record of building ML systems that can accelerate our ability to scale our conversational AI initiatives.

You Will
  • Lead the end-to-end delivery of multiple ML initiatives, from planning and design through rollout, documentation, and long-term maintenance
  • Partner strategically with risk, product, engineering, design, and operations leaders to define and drive long term ML roadmaps, informed by domain expertise and industry trends
  • Guide the team's direction, identifying new ML/AI opportunities and advising leadership on strategic tradeoffs and opportunities
  • Drive R&D efforts exploring next-generation chatbot architectures using LLMs, RAG, fine-tuning, and real-time inference
  • Design, deploy, and maintain ML models powering conversational agents including support chatbots across Cash App, Square, and other Block products
  • Develop ML-powered tools and real time recommendation systems that enhance support agent effectiveness and customer outcomes
  • Act as the technical representative for your team's systems and programs, clearly communicating work and results to stakeholders, cross-functional partners, and external audiences

You Have
  • 10+ years of experience in machine learning, applied AI, or product ML roles, with deep technical expertise
  • Demonstrated leadership capabilities, with the ability to influence and align cross-functional teams while directly shaping the work of peers through communication, context sharing, and technical guidance
  • A track record of delivering organizational wide impact, shaping systems, frameworks, or initiatives that raise the bar across multiple teams or functions
  • Proven ability to ship 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, with the ability to represent the team's work to leadership and stakeholders
  • Enthusiasm for R&D and pushing the boundaries of applied AI to transform conversational systems

Technologies We Use and Teach
  • Python, PyTorch, TensorFlow, or JAX

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

To find a location's zone designation, please refer to this resource . If a location of interest is not listed, please speak with a recruiter for additional information.

Zone A:

$276,800 - $415,200 USD

Zone B:

$276,800 - $415,200 USD

Zone C:

$276,800 - $415,200 USD

Zone D:

$276,800 - $415,200 USD

Application Guidelines

Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed.

Use of AI in Our Hiring Process

We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.

Contact us here with hiring practice or data usage questions.

Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block.

Similar Jobs

More Jobs at Block, Inc

More Information Technology Jobs

Find similar Staff Machine Learning Engineer (Modeling), Support jobs: