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Research Engineer - Diffusion LLM Team at ifm-us

ifm-usSunnyvale, CA
On-site Full-time

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Experience Level

Experience

Qualifications

Ideal candidates will possess a strong background in AI and machine learning, with proven experience in designing and implementing large language models. A solid understanding of deep learning frameworks and a passion for pushing the boundaries of AI technology are essential. Strong analytical skills and the ability to work collaboratively in a team-oriented environment are crucial for success in this role. Candidates should demonstrate a commitment to continuous learning and innovative problem-solving.

About the job

ifm-us is a research lab dedicated to developing, understanding, and applying foundation models. The organization advances research, supports emerging AI talent, and contributes to a knowledge-driven economy. Responsible innovation and risk management guide the lab’s work.

Role overview

This Research Engineer position sits within the Diffusion LLM Team in Sunnyvale, CA. The team focuses on designing, building, and deploying large-scale Diffusion Large Language Models (LLMs). Their work aims to achieve autoregressive model quality while improving generation speed. Another priority is enhancing inference-time scaling, so that additional compute resources lead directly to better model outputs.

Collaboration is central to this role. The Research Engineer will partner with colleagues across architecture, training, and infrastructure to turn research ideas into practical model releases for the next generation of LLMs.

Main responsibilities

  • Design, train, and scale large language models to achieve strong performance and reliability.

About ifm-us

ifm-us is at the forefront of AI development, focusing on the research and implementation of foundation models that contribute to the evolution of technology and innovation. Our team is dedicated to fostering growth and knowledge in the AI sector, making significant advancements towards a more intelligent future.

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