Builds high-performance pipelines and building blocks for video understanding at scale using computer vision, audio processing, and ML optimization techniques. Requires 2+ years in CV/audio, strong Python/PyTorch skills, and passion for video tech.
150k – 350k/yr
On-site2+ YOEML Engineering
About the role
Responsibilities
Build high performance building blocks and large scale pipelines to understand video with high precision at internet scale.
Work on ambiguous research problems in computer vision, audio processing, and text processing domains.
Squeeze performance from models + APIs through pre/post-processing, parallelism, pipelining, inference optimization, and fine-tuning.
Requirements
2+ years of experience in computer vision or audio processing
Strong Python developer with hands-on experience in PyTorch or similar ML frameworks
Excellent communication skills, especially with customers and external teams
Writes clean, maintainable code—bonus for active GitHub or portfolio projects
Deep passion for the video domain and media technologies
Motivated by building end-to-end products—not just training models
Able to break problems down from customer level impact to necessary building blocks
Nice-to-Haves
Active contributor to open source projects
Experience as an early hire at a startup
Benefits
401k + Full Health Insurance
Breakfast, Lunch, and Dinner covered and your choice of snacks
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