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About the Role

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform. We are looking for a strong engineer to help build and scale our product, solving hard engineering problems in scalability and reliability.

Responsibilities

• Own large new areas within our product
• Work across backend, frontend, and interacting with LLMs and ML models
• Deliver experiments at a high velocity and level of quality to engage our customers
• Work across the entire product lifecycle from conceptualization through production
• Be able, and willing, to multi-task and learn new technologies quickly

Requirements

• 7+ years of full-time engineering experience, post-graduation
• Experience scaling products at hyper growth startups
• Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
• Proficient in Python or Javascript/Typescript, and SQL
• Experience with Kubernetes
• Experience with major cloud providers (AWS, Azure, GCP)

Skills

• Python
• Javascript/Typescript
• SQL
• Kubernetes
• AWS
• Azure
• GCP
• LLMs
• Vector databases

Experience Level

• 7+ years of full-time engineering experience, post-graduation

About the Company

• At Scale, our mission is to develop reliable AI systems for the world's most important decisions.
• Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.
• We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.
• We are expanding our team to accelerate the development of AI applications.

Equal Opportunity

• We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace.
• We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
• We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.
• We comply with the United States Department of Labor's Pay Transparency provision.