SeniorStaff Machine Learning Engineer, General Agents, Enterprise GenAI

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 generative AI solutions and enterprise AI capabilities.

About the General Agents Team

The General Agents team part of Scales 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 reasoning and agentic capabilities into reliable production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains with a strong emphasis on generalization extensibility and deployment across many customers.

About the Role

As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team youll 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 lifecyclefrom model and system design to evaluation deployment and iterationbridging cutting-edge agentic techniques with the constraints and requirements of real customer environments.

You will:

• Design and implement end-to-end agent systems that combine LLM reasoning tool use memory and control logic to solve recurring enterprise use cases.
• Build scalable reliable agent architectures that can be deployed across many customers with varying data tools and constraints.
• Develop evaluation frameworks datasets environments and metrics to measure agent performance reliability and business impact in production settings.
• Collaborate closely with product managers customers data annotators and other engineering teams to translate enterprise requirements into robust agent designs.
• Productionize frontier agent techniques (e.g. planning multi-step reasoning and tool-use multi-agent patterns) into maintainable observable systems.
• Own deployment monitoring and iteration of agent systems including failure analysis and continuous improvement based on real-world usage.
• Contribute to technical direction and architectural decisions for general agent development best practices and methods with increasing scope and leadership at the Staff level.

Ideally youd have:

• 5 years of experience building and deploying machine learning or AI systems for real-world production use cases.
• Strong engineering fundamentals supported by a Bachelors and/or Masters degree in Computer Science Machine Learning AI or equivalent practical experience.
• Deep understanding of modern LLMs prompt- context- and system-level optimization and agentic system design.
• Proven proficiency in Python including writing production-quality testable and maintainable code.
• Experience building systems that integrate models with external tools APIs databases and services.
• Ability to operate in ambiguous problem spaces balancing research-driven approaches with pragmatic product constraints.
• Strong communication skills and comfort working in customer-facing or cross-functional environments.

Nice-to-haves:

• Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs commercial or open-source LLMs).
• Experience with agent frameworks orchestration layers or workflow systems (e.g. tool calling planners multi-agent setups).
• Familiarity with evaluation monitoring and observability for LLM-powered systems in production.
• Experience deploying ML systems in cloud environments and operating them at scale.
• Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT) reinforcement learning with verifiable rewards (RLVR) and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks.
• Interest in shaping the future of general-purpose enterprise agents and their real-world impact.

PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale our mission is to develop reliable AI systems for the worlds most important decisions. Our products provide the high-quality data and full-stack technologies that power the worlds 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 Cisco DLA Piper 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.

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. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability please contact us at Please see the United States Department of Labors Know Your Rights poster for additional information.

We comply with the United States Department of Labors Pay Transparency provision.

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