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SieveSieveSan Francisco, CA

Applied Research Engineer

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
  • Ubers covered home

Skills

PyTorchPythonComputer VisionAudio ProcessingInference OptimizationPipeliningParallelismFine-TuningMachine Learning Frameworks

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