Lead AI Researcher
OpusClip· Engineering
Mountain View$280k - $380kFull-timePosted 1mo ago
About the role
Hands-on Lead AI Researcher with strong technical depth. People management is a plus. Focus on shipping AI/ML models from prototype to production at scale, model post-training, inference optimization for self-hosted models, evaluation, and applying multimodal/video AI to OpusClip’s products.
Responsibilities
- Proven experience shipping AI/ML models from prototype to production at scale.
- Deep expertise in model post-training, including fine-tuning, preference optimization, evaluation, and learning from user feedback.
- Experience building data flywheels that turn user behavior and feedback into training data and continuous model improvements.
- Strong inference optimization experience for self-hosted models, including latency, throughput, GPU utilization, quantization, and serving cost.
- Strong model evaluation skills, including offline benchmarks, human evaluation, online experiments, and product-quality metrics.
- Practical experience applying LLMs or multimodal models to video applications, such as highlight detection, content curation, ranking, personalization, and editing decisions.
- Familiarity with video-related models and systems, including but not limited to vision-language models, ASR/transcription, video understanding, and enhancement/upscaling, etc..
- Able to make build-vs-buy decisions across proprietary APIs, open-source models, and internally trained models.
- Capable of setting the technical roadmap, reviewing architecture, mentoring engineers, and managing a small high-performing AI team.
- Product-oriented and pragmatic: understands how to balance model quality, latency, reliability, and infrastructure cost.
Qualifications
- Proven experience shipping AI/ML models from prototype to production at scale.
- Deep expertise in model post-training, including fine-tuning, preference optimization, evaluation, and learning from user feedback.
- Strong inference optimization experience for self-hosted models, including latency, throughput, GPU utilization, quantization, and serving cost.
- Strong model evaluation skills, including offline benchmarks, human evaluation, online experiments, and product-quality metrics.
- Practical experience applying LLMs or multimodal models to video applications, such as highlight detection, content curation, ranking, personalization, and editing decisions.
- Familiarity with video-related models and systems, including vision-language models, ASR/transcription, video understanding, and enhancement/upscaling.
- Able to make build-vs-buy decisions across proprietary APIs, open-source models, and internally trained models.
- Capable of setting the technical roadmap, reviewing architecture, mentoring engineers, and managing a small high-performing AI team.
- Product-oriented and pragmatic: understands how to balance model quality, latency, reliability, and infrastructure cost.
Skills
Required:Shipping AI/ML models from prototype to production at scaleModel post-training and fine-tuningInference optimization for self-hosted modelsModel evaluation (offline, online, human)Vision-language / Multimodal video modelsBuild-vs-buy decision makingTechnical roadmap & mentoring
Last updated Oct 22, 2026. Interested? Apply on the company site.
About OpusClip
#1 AI video clipping and editing tool
OpusClip turns long videos into high-quality viral clips, and publishes them to all social platforms in one click. We help 10M+ creators create and grow faster.
video editingAIcontent creationsocial media
More open roles at OpusClip
- Data Science Lead2w agoMountain View · Engineering
- Data Scientist3w agoBurnaby · Data Science
- Engineering Lead1mo agoBurnaby · Engineering
- AI Product Management Intern2mo agoMountain View · Product
- Creative Technologist5mo agoMountain View · Design