LLM Research Scientist

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🕒 April 8

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Cummins Inc.

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1919

⚡ Energy

🚗 Transport

🔧 Hardware

💰 $75M Grant on 2024-07

Energy • Transport • Hardware

Cummins Inc. is a global power technology leader that designs, manufactures, and distributes a variety of engines and power systems solutions. They offer products that range from diesel and natural gas engines to hybrid and electric power systems, as well as components like turbochargers, fuel systems, and emissions solutions. With a strong emphasis on innovation, Cummins aims to reduce emissions and improve fuel efficiency. The company is dedicated to helping industries navigate the transition to cleaner energy through integrated power solutions suitable for diverse applications such as on-highway, marine, mining, and construction. Additionally, Cummins provides services including remote monitoring, diagnostics, and aftermarket support, reinforcing its commitment to sustainability and customer service excellence.

📋 Description

• Investigate state-of-the-art LLM and multimodal technologies: RAG, Agents, tool use, reasoning, alignment, knowledge injection, and domain adaptation. • Analyze global research trends and define how emerging techniques can be applied to Cummins’ engineering and industrial workflows. • Lead deep technical explorations and novel architecture experimentation. • Architect domain-grounded LLM solutions for engineering design, simulation workflows, diagnostics, service operations, manufacturing, and technical documentation. • Build pipelines for SFT/IFT, retrieval-augmented reasoning, prompt engineering, and knowledge-grounded inference. • Integrate structured and unstructured engineering knowledge (CAD/CAE outputs, diagnostic logs, manuals, sensor data). • Collaborate with engineering, simulation, materials, control systems, quality, and service teams to design innovative AI workflows. • Apply multi-domain expertise to create LLM-powered tools for engineering productivity, automated reasoning, and smart decision-making. • Own the full cycle: exploration → prototyping → evaluation → documentation. • Produce technical reports, architecture designs, and executive-level presentations. • Provide technical leadership in transitioning prototypes to enterprise systems.

🎯 Requirements

• Master’s or PhD in Computer Science, AI, Machine Learning, Engineering, or related fields; OR equivalent senior-level research experience. • Deep expertise in LLM technologies: Transformer, SFT/IFT, RAG, agents, tool-use, reasoning, alignment, evaluation. • Proven experience shipping applied AI/LLM systems beyond PoC into real-world environments. • Strong programming and experimentation skills (Python, PyTorch, HuggingFace, LangChain, LlamaIndex). • Experience integrating LLMs with engineering, scientific, or industrial domains. • Demonstrated ability to independently lead complex technical explorations. • Strong communication skills for working with global research and engineering teams.

🏖️ Benefits

• Competitive salary • Opportunity to shape Cummins’ domain LLM strategy and long-term AI roadmap. • Work on high-impact problems across engineering, manufacturing, and industrial operations. • Collaboration with global experts across AI, product, engineering, and platform teams.