AI Research Intern
$52,000–$58,240 year
RemoteCalifornia, United States or Mountain View Santa Clara County, California, United States
Job Summary
Research and develop deep learning models in computer vision, speech, multimodal understanding, or LLM post-training. Build AI-powered product features by integrating frontier foundation models into production systems through prompt engineering and agent workflows. Design scalable evaluation pipelines and develop domain-specific benchmarks using automated methods. Keep up with the latest AI research, reproduce state-of-the-art advances, and translate them into production-ready systems for OpusClip and AgentOpus. Collaborate closely with researchers and engineers to rapidly prototype and ship new capabilities.
Required Qualifications
- 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, including the ability to read research papers and write technical documentation
- Hands-on experience in one or more of the following: Computer Vision (especially low-level vision), Voice / speech, or LLM fine-tuning
Desired Qualifications
- Experience building Agent Systems or LLM-powered product features with frontier-model APIs (e.g., ChatGPT, Claude, Gemini)
- Familiarity with TypeScript
- Ownership & execution: Involvement in projects from inception to completion, with strong coding fundamentals; open-source contributions
- Research breadth: Academic background or interest in adjacent areas — video understanding and generation, multimodal systems, agents, and model evaluation / benchmarking
- Publications: 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.
- Flexible remote/on-site internship (3 days/week required, 4+ days/week preferred)
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