Multimodal AI Researcher — Remote, Own Your Research Impact

DeepRec.ai; Palo Alto (CA); Remote; USD 300,000 - 400,000; Full time

Job summary

DeepRec.ai is looking for a full-time Multimodal LLM Researcher based remotely in Palo Alto, California. You will lead research efforts on multimodal AI systems and collaborate with engineering teams to deploy innovative models across various mediums.

With a strong track record in research, you will design novel architectures and improve inference performance while having the opportunity to publish your findings. The role offers a competitive salary of USD 300,000–400,000.

Qualifications

• Strong research track record in multimodal AI or foundation models.
• First-author publications at recognised ML, vision, or audio conferences.
• Deep expertise in LLMs, VLMs, Audio LMs, or related fields.
• Strong Python and deep learning experience using modern frameworks.

Responsibilities

• Lead research across LLMs, VLMs, and Audio Language Models.
• Design novel multimodal model architectures and training approaches.
• Improve real‑time inference across text, image, audio, and video.
• Collaborate with engineering teams to deploy research outcomes.
• Publish findings at leading AI conferences and journals.

Skills

Research in multimodal AI

First-author publications

Expertise in LLMs

Python and deep learning

Job description

DeepRec.ai is looking for a full-time Multimodal LLM Researcher based remotely in Palo Alto, California. You will lead research efforts on multimodal AI systems and collaborate with engineering teams to deploy innovative models across various mediums.

With a strong track record in research, you will design novel architectures and improve inference performance while having the opportunity to publish your findings. The role offers a competitive salary of USD 300,000–400,000.