Backed by Sequoia.
About the role
Resolvegrid is already trusted by over 20 enterprise customers. This is a rare chance to shape the technical DNA and product foundation of a platform that will transform how industries scale. You will work directly with our CEO and founding team to build next-generation AI systems for the industrial sector. This is a hybrid role that will be based in Southern California.
What they're looking for
- Advanced degree (MS or PhD) in Computer Science, Artificial Intelligence, or related field
- 8+ years of hands-on experience in AI/ML research, development, and deployment
- Deep expertise in LLMs, multimodal systems, retrieval-augmented generation (RAG), and AI agents
- Experience leading technical teams and mentoring top-tier engineering and research talent
- Proven track record of building AI systems from concept to production in fast-paced environments
- Strong command of MLOps and LLMOps, including CI/CD pipelines, monitoring, evaluation, and lifecycle management
More about this role
ResolveGrid.ai is redefining how industrial companies manage complex field engineering operations. Our founders combine deep industry expertise with Silicon Valley experience. ResolveGrid.ai is backed by Andrew Ng’s AI Fund and other notable investors. ResolveGrid.ai leverages cutting-edge AI to bring unprecedented efficiency, intelligence, and adaptability to industrial workflows.
Resolvegrid is already trusted by over 20 enterprise customers. This is a rare chance to shape the technical DNA and product foundation of a platform that will transform how industries scale. You will work directly with our CEO and founding team to build next-generation AI systems for the industrial sector. This is a hybrid role that will be based in Southern California.
- Define and lead the company’s AI roadmap, from foundational research to applied innovation.
- Design and implement scalable AI/ML infrastructure, including data pipelines, model training frameworks, and evaluation systems.
- Integrate LLMs, multimodal models, RAG systems, and diffusion models into practical enterprise workflows.
- Partner with engineering and product teams to transform research into production-grade AI features.
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