Principal AI Engineer, Media Pipelines
Liquid Studios AI · Remote · Remote (United States Only) ·
COMPENSATION
$175k – $200k
Listed on the employer's job board (Ashby)
- Principal level role
- Fully remote position
- Python or TypeScript
- Generative AI focus
- Media pipeline architecture
Liquid Studios transforms media catalogs into short-form clips and multi-language dubs using AI. We are looking for a hands-on Principal Engineer to lead the architecture of our core content transformation pipeline.
You will partner with cross-functional leads to set technical direction, manage model strategies, and ensure enterprise-grade reliability. This senior individual contributor role focuses on solving hard problems in scaling AI inference and maintaining quality control.
What you'll do
- Define technical direction for media ingestion, transformation, and delivery pipelines
- Select and integrate LLMs, speech, and video models via structured bake-offs
- Optimize unit economics by managing GPU spend, batching, and caching
- Build automated evaluation gates for dub naturalness and translation accuracy
- Establish SLOs, observability, and incident response for enterprise reliability
- Implement safety measures for voice cloning consent and content rights
- Mentor engineers through design docs, code reviews, and pairing
- Write critical code and drive high-priority features from prototype to production
What you'll need
- 10+ years of software engineering experience with production system ownership
- Proven track record shipping generative AI or multimodal systems to production
- Deep proficiency in Python and/or TypeScript
- Experience with at least one major cloud platform
- Strong background in distributed systems, job orchestration, and queues
- Ability to handle large, long-running, and failure-prone workloads
- Experience setting technical direction through design docs and mentoring
Nice to have
- Knowledge of FFmpeg, codecs, transcoding, and subtitle formats
- Experience with speech recognition, TTS, voice cloning, or lip-sync
- Familiarity with video understanding, scene detection, or clip selection
- Ability to self-host open-source models on GPUs with cost planning
- Experience with retrieval and vector search over large content catalogs
- Background in media, publishing, podcasting, or creator platforms
Stack
- Python
- TypeScript
- LLMs
- Speech Recognition
- Text-to-Speech
- Video Models
- FFmpeg
- Cloud Platforms
How you'll work
- Fully remote work environment
- Senior individual contributor role
- Collaboration with Lead AI Engineer and cross-functional teams