We want to hire a hands-on AI Engineering Lead with strong technical depth and some people-management experience.
What we are looking for- 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.
Nice to have- Experience with consumer video, creator tools, recommendation/content systems, or other high-scale multimodal products is plus.
