# AI Engineering Lead

**Company:** [OpusClip](https://hotfix.jobs/companies/opusclip)
**Location:** Mountain View, CA
**Role:** ML Engineering
**Salary:** $280k – $380k/yr
**Skills:** Ai/Ml Models, Model Fine-Tuning, Preference Optimization, Model Evaluation, LLMs, Multimodal Models, Inference Optimization, Quantization, Gpu Utilization, Vision-Language Models, Asr, Video Understanding, Recommendation Systems, Personalization
**Posted:** 2026-09-02

> Leads a hands-on AI engineering team developing, evaluating, and deploying large-scale multimodal and video models. The role combines post-training, inference optimization, product experimentation, technical roadmap ownership, and people management.

## Job Description

## Responsibilities
- Ship AI/ML models from prototype to production at scale.
- Build data flywheels that convert user behavior and feedback into training data and continuous model improvements.
- Optimize inference for self-hosted models, including latency, throughput, GPU utilization, quantization, and serving cost.
- Evaluate models using offline benchmarks, human evaluation, online experiments, and product-quality metrics.
- Apply LLMs and multimodal models to video applications such as highlight detection, content curation, ranking, personalization, and editing decisions.
- Make build-versus-buy decisions across proprietary APIs, open-source models, and internally trained models.
- Set the technical roadmap, review architecture, mentor engineers, and manage a small AI team.
- Balance model quality, latency, reliability, and infrastructure cost.

## Requirements
- 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.
- Strong model evaluation skills.
- Practical experience applying LLMs or multimodal models to video applications.
- Familiarity with video-related models and systems, including vision-language models, ASR/transcription, video understanding, and enhancement/upscaling.
- Ability to set technical roadmaps, review architecture, mentor engineers, and manage a small high-performing AI team.
- Product-oriented and pragmatic approach to model quality, latency, reliability, and infrastructure cost.

## Nice to Have
- Experience with consumer video, creator tools, recommendation or content systems, or other high-scale multimodal products.

## Similar jobs

- [Engineering Manager, Machine Learning](https://hotfix.jobs/jobs/581a66b3-0c10-4dde-9060-4aa02f8a71d6) - Discord - $272k – $306k/yr
- [Machine Learning Engineer, API Multicloud](https://hotfix.jobs/jobs/e00aaa80-2064-4ba0-9c1b-993a835011d2) - OpenAI - San Francisco, CA - $295k – $445k/yr
- [Manager, Applied Science](https://hotfix.jobs/jobs/d859c8a5-34d3-42f2-973d-ecdbcd3f9633) - Garner Health - New York, NY - $300k – $390k/yr
- [Senior AI Engineer, Agentic Data Enrichment](https://hotfix.jobs/jobs/5246cc35-17f3-4041-a991-5cda61fcb0cf) - Baselayer - San Francisco, CA - $230k – $340k/yr
- [Senior Applied Scientist, Speech](https://hotfix.jobs/jobs/fc2161b1-228d-49f4-ad53-dc2f66db10a8) - Otter - Mountain View, CA - $230k – $265k/yr

**Apply:** https://hotfix.jobs/jobs/abff8cd1-36ef-4bec-ba26-7f8e5dc16275
**Canonical:** https://hotfix.jobs/jobs/abff8cd1-36ef-4bec-ba26-7f8e5dc16275