Sr Staff ML Forward Deployed Engineer (AI)

TL;DR

Sr Staff ML Forward Deployed Engineer (AI): Building and scaling enterprise-grade Generative AI platform APIs for knowledge retrieval, inference, and evaluation with an accent on distributed systems and full-stack product ownership. Focus on solving complex engineering challenges in scalability and reliability while integrating LLMs and ML models into production environments.

Location: Must be based in the United States (inferred from US labor law compliance and pay transparency requirements).

Company

Scale AI provides high-quality data and full-stack technologies that power the world's leading AI models for enterprises and governments.

What you will do

• Own large new areas within the product lifecycle from conceptualization through production.
• Work across backend and frontend systems while interacting directly with LLMs and ML models.
• Deliver experiments at high velocity to engage customers.
• Solve complex engineering problems related to system scalability and reliability.
• Collaborate across teams to build and scale the Generative AI platform.

Requirements

• 7+ years of full-time engineering experience post-graduation.
• Experience scaling products at hyper-growth startups.
• Proficiency in Python or Javascript/Typescript and SQL.
• Experience with Kubernetes and major cloud providers like AWS, Azure, or GCP.
• Experience productizing LLMs, vector databases, and other modern AI technologies.
• Must be authorized to work in the United States.

Culture & Benefits

• Inclusive and equal opportunity workplace.
• Commitment to providing reasonable accommodations for disabilities.
• Opportunity to work with industry leaders like Meta and government agencies.
• Focus on high-impact AI development for real-world applications.