Senior/Staff Machine Learning Research Engineer, General Agents, Enterprise GenAI
Scale AI · Applications Platform Engineering
- Location
- San Francisco, CA; New York, NY
- Metro
- San Francisco Bay Area, New York City
- Workplace
- Unspecified
- Level
- Staff+
- Type
- Unspecified
- Pay
- $249K–$311K/yr (estimated from posting text)
- Posted
- 9 months ago
- Source
- Greenhouse
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What the posting covers
About the company
Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform,…
About the General Agents Team
The General Agents team, part of Scale’s Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art…
About the Role
As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you’ll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent…
About the Role
Strong engineering fundamentals, supported by a Bachelor’s and/or Master’s degree in Computer Science, Machine Learning, AI, or equivalent practical experience. Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic…
About the Role
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels…
About Us
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,…
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