OC
$280,000 – $380,000
Listed on Opus Clip’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
OpusClip seeks a hands-on AI researcher to lead the development and optimization of machine learning models powering their video platform, from training through production deployment. This role combines deep technical expertise in model training and inference optimization with team leadership, suited for someone who has shipped AI systems at scale and enjoys both individual technical contribution and mentoring.
Our summary, not Opus Clip’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Proven experience shipping AI/ML models from prototype to production at scale
- Deep expertise in model post-training including fine-tuning, preference optimization, and evaluation
- Strong inference optimization experience for self-hosted models including latency, throughput, and quantization
- Strong model evaluation skills including offline benchmarks, human evaluation, and online experiments
- Practical experience applying LLMs or multimodal models to video applications
- Familiarity with video-related models and systems including vision-language models and ASR
- Ability to make build-vs-buy decisions across proprietary APIs, open-source models, and internally trained models
- Capable of setting technical roadmap, reviewing architecture, mentoring engineers, and managing a small AI team
- Product-oriented and pragmatic approach to balancing model quality, latency, reliability, and cost
Nice to have
- Experience with consumer video, creator tools, or high-scale multimodal products
- Distributed training infrastructure experience
- Inference optimization experience for self-hosted models