ML Engineer: Multimodal Data & Production Systems

Sieve, Inc. is seeking a Machine Learning Engineer in San Francisco to own the entire ML lifecycle—from understanding customer problems to shipping production pipelines that improve dataset quality.
You'll work directly with frontier AI labs to tackle challenging multimodal data problems, fine-tune models, build evaluation systems, and deliver measurable improvements in dataset quality across video, audio, images, and text. This is an onsite role requiring full-time commitment.

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