Staff ML Engineer, Applied AI Platform at Block
Role Overview
Block is looking for a highly experienced machine learning engineer to build and launch AI-powered tools and platforms across the business. You’ll collaborate broadly, work across the full stack from model development to production, and become a key driver of the company’s AI strategy.
Key Responsibilities
Leverage AI to automate workflows and deliver new AI-powered product experiences.
Develop scalable AI systems and platforms.
Collaborate across diverse teams to build solutions by understanding and generalizing stakeholder problems.
Lead AI innovation by building and open-sourcing frameworks and tools that enhance workflows and set standards.
Act as a company AI expert: drive alignment with Block’s AI strategy and educate teams on applying cutting-edge AI to their domains.
Requirements & Qualifications
12+ years of experience in training and deploying ML models, developing ML software, and shipping customer-facing ML products.
Deep understanding of modern machine-learning techniques (e.g., large-language models) and full ML lifecycle including data gathering, training, evaluation, MLOps, and productionizing models.
Ability to write production-quality code and services including testing, evaluation, monitoring; plus ability to quickly adapt to new domains, hack MVPs, iterate to improve.
Experience using major cloud vendors for high-scale production use cases.
Strong verbal and written communication skills with both technical and non-technical stakeholders.
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