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Closed on August 20, 2026.
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Staff Machine Learning Engineer, Agentic Systems
Agent Orchestration
Agentic Ai
Ai Agents
Ai Ml
Ai Workflows
Artificial Intelligence
DevOps
Ml Ops
Multi Agent Systems
Openai
Programming Language
Programming Languages
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Job Description
Staff Machine Learning Engineer on the agent lab team in Mountain View, CA, focusing on scalable AI agents, memory, orchestration, and end-to-end integration with Moveworks and ServiceNow.
Responsibilities
- Tackle difficult engineering challenges to design and evolve reliable, capable AI agent systems at scale.
- Develop and productionize cutting edge AI algorithms and architectures for scalable deployment.
- Leverage current machine learning, large language models, and AI agents to improve products and deliver compelling user experiences.
- Influence the product roadmap and steer the evolution of engineering domains to deliver enduring value for customers.
- Write robust, extensible, readable, and high performance code.
- Collaborate with ML, security, product, user experience, and customer success experts to learn from one another and deliver a leading enterprise AI product.
- Mentor teammates on building, maintaining, and evolving high quality software.
- Collaborate with ML engineers to share knowledge and build world class AI systems.
Requirements
- 8+ years designing, building, and improving production systems, preferably at scale.
- Clear analytical and communication skills for complex engineering problems and systems.
- Comfort with giving and receiving feedback, and maintaining high operational standards for yourself and teammates.
- Ready to operate in a Mac development environment, with proficiency in Python, Go, and/or Java.
- Willingness to ship quickly in a startup setting with a high degree of ownership.
- Meticulous attention to detail.
- Motivation to deliver product improvements using production‑grade code.
- Proven appetite for rapid, incremental wins and completing challenging projects efficiently.
- Curiosity about adjacent engineering disciplines and a commitment to staying at the forefront of applied AI.