AI Engineering Lead: Scale ML for Video & Personalization

Opus

Mountain View, Northern (CA, KY)

Hybrid

USD 180,000 - 290,000

Full time

10 days ago
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Job summary

OpusClip is seeking a hands-on AI Engineering Lead in Mountain View to advance production-grade AI/ML systems for video applications. You will oversee model post-training, fine-tuning, evaluation, and user-feedback loops, and drive data flywheels that fuel continuous improvement.

You will optimize self-hosted inference, balance latency and cost, mentor engineers, and shape the technical roadmap. Experience with vision-language models, ASR/transcription, and multimodal video tasks is highly

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 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.

Skills

AI/ML model deployment
Model fine-tuning
Inference optimization
Evaluation metrics
Data flywheels
LLMs / multimodal models
Video applications
Build vs buy decisions
Mentoring engineers
Roadmap planning
Python
PyTorch
TensorFlow
GPU/CUDA
A/B testing

Tools

Python
PyTorch
TensorFlow
GPU/CUDA
A/B testing

Job description

OpusClip is seeking a hands-on AI Engineering Lead in Mountain View to advance production-grade AI/ML systems for video applications. You will oversee model post-training, fine-tuning, evaluation, and user-feedback loops, and drive data flywheels that fuel continuous improvement.

You will optimize self-hosted inference, balance latency and cost, mentor engineers, and shape the technical roadmap. Experience with vision-language models, ASR/transcription, and multimodal video tasks is highly

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