AI Research Intern

OpusClip•Mountain View, CA

1d•$25 - $28•Hybrid

About The Position

OpusClip is seeking an AI Research Intern to join their AI team. This role involves exploring cutting-edge research in multimodal AI, LLMs, computer vision, speech, and agent systems. The intern will work across OpusClip, AgentOpus, and next-generation AI products, collaborating with AI researchers and engineers to investigate emerging technologies, build research prototypes, and contribute to features used by millions of creators globally. OpusClip is a well-funded startup with significant traction in the AI video agent space, recognized by publications like Business Insider and The Information.

Requirements

Currently pursuing or recently completing a Master's degree in Computer Science, Artificial Intelligence, Mathematics, or a related field.
Solid understanding of Transformer architecture and Attention mechanisms.
Familiarity with mainstream generative model families (GANs, diffusion models, autoregressive models).
Familiarity with media processing fundamentals (video and/or audio — e.g., ffmpeg, codecs, signal processing basics).
Strong programming skills in Python.
Familiarity with Linux development environments, Git, and data structures.
Fluent in English with strong technical reading and writing skills.
Hands-on experience in one or more of the following: Computer Vision (especially low-level vision), Voice/speech (voice cleaning, voice cloning, voice generation), or LLM fine-tuning (SFT, RLHF/DPO, LoRA/PEFT, post-training of open-source models).

Nice To Haves

Experience building Agent Systems or LLM-powered product features with frontier-model APIs (e.g., ChatGPT, Claude, Gemini).
Familiarity with TypeScript.
Involvement in projects from inception to completion, with strong coding fundamentals; open-source contributions are a plus.
Academic background or interest in adjacent areas — video understanding and generation, multimodal systems, agents, and model evaluation/benchmarking.
Involvement or interest in academic research, with a focus on top-tier venues like CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, ICASSP, Interspeech, AAAI, MM, TIP, TPAMI, ACL, EMNLP etc.

Responsibilities

Research and develop deep learning models in areas such as computer vision (video enhancement, super-resolution, restoration), speech & audio (speech enhancement, voice cloning, voice generation), multimodal understanding and generation, and LLM post-training (SFT, RLHF, DPO).
Build AI-powered product features by integrating foundation models into production systems using prompt and context engineering, and Agent workflows (e.g., LangChain, RAG frameworks).
Collaborate with product and engineering teams to rapidly prototype and ship new AI capabilities.
Design scalable evaluation pipelines for multimodal AI systems.
Develop domain-specific benchmarks using automated evaluation methods and quality metrics.
Stay updated with the latest AI research and open-source developments.
Reproduce state-of-the-art research and translate new advances into production-ready systems.