Job Details

Overview

Staff Machine Learning Engineer, Applied AI Platform – Block. Join to apply for the Staff Machine Learning Engineer, Applied AI Platform role at Block. Block is organized into business groups and engineering teams that deliver AI-powered solutions across the company. This role focuses on building AI-driven tools and applications that address real customer needs and drive product strategy with practical, innovative AI solutions.

You Will

• Leverage AI to automate workflows and deliver new AI-powered product experiences
• Develop scalable AI systems and platforms
• Collaborate across diverse teams to understand cross-functional stakeholder problems and generalize solutions
• Lead AI innovation by building and open sourcing advanced frameworks and tools to enhance workflows and set industry standards
• Drive alignment with Block's AI strategy by acting as a company AI expert and educating other teams on applying cutting-edge AI to their domains
• Support the adoption of AI best practices across the company by providing guidance and sharing expertise

You Have

• 12+ years of experience in training and deploying ML models, developing ML software, and shipping customer-facing ML products
• Deep understanding of modern ML techniques (e.g., Large Language Models) and the ML lifecycle from data gathering, training, model evaluation, MLOps, to productionizing models
• Ruthless pragmatism when solving new and unconventional problems
• A desire to understand clients' needs to design tools and systems that solve customer problems; internal developers and product teams are primary customers
• Ability to produce production-quality code and services with testing, evaluation, and monitoring; capable of quickly adapting to new domains and iterating to improve product
• Experience using major cloud vendors for high-scale production use cases
• Strong communication skills (verbal and written) with technical and non-technical stakeholders

About Block and Inclusivity

Block is an equal opportunity employer. We evaluate all applicants without regard to identity or any legally protected class. We may consider applicants with arrest or conviction records in accordance with state and local laws. We strive to provide an inclusive interview experience and accommodations upon request.

Compensation and Benefits

Block takes a market-based approach to pay, with location-based zone designations used to determine starting pay. The specific salary for a candidate is based on job-related skills, experience, qualifications, work location, and market conditions. Zones and salary ranges are provided on the job page where applicable. We may use automated AI tools in the hiring process, compliant with local regulations and privacy laws.

Location, Notices, and How to Apply

Location details and posting date are provided on the job page. For more information on benefits, hiring practices, or data usage questions, contact ...@block.xyz. You can also learn about our workplace commitments and processes on the I+D page.