Velvet is a data research company focused on creating high-quality audiovisual training data for AI. They are seeking a Founding Machine Learning Engineer to build pipelines that convert raw footage ...
Velvet
2 jobs near Columbus, OH
Velvet is a data research company focused on creating high-quality audiovisual training data for AI. They are seeking a Founding Machine Learning Engineer to build pipelines that convert raw footage ...
Research Scientist
San Francisco, CA · On-site
Velvet is a data research company focused on building datasets for multimodal AI. They are seeking a Research Scientist to develop and fine-tune models for video and audio data processing and ...
Research Scientist
San Francisco, CA · On-site
Velvet is a data research company focused on building datasets for multimodal AI. They are seeking a Research Scientist to develop and fine-tune models for video and audio data processing and ...
Job description
Job Summary:
Velvet is a data research company focused on creating high-quality audiovisual training data for AI. They are seeking a Founding Machine Learning Engineer to build pipelines that convert raw footage into structured training data, managing the full lifecycle from processing scripts to deployment at scale.
Responsibilities:
• Build and enhance post-processing pipelines that clean, validate, and package large volumes of video and audio data for multimodal model training.
• Deploy and fine-tune open-source models for speech recognition, speaker diarization, video segmentation, and related tasks.
• Design infrastructure for large-scale distributed processing — parallelizing thousands of compute jobs across cloud platforms and optimizing for throughput and cost.
Qualifications:
Required:
• Strong experience in ML infrastructure, speech/audio processing, or large-scale data pipelines.
• Proficiency in PyTorch.
• Familiarity with distributed job orchestration.
• Claude Code pilled.
• A bias toward shipping. You default to building, not theorizing.
• Ability to work effectively in an early-stage environment where scope is broad and priorities shift fast.
Preferred:
• Prior work at a data company or frontier AI lab.
• Track record building pipelines that process tens of thousands of hours of audio or video.
• Experience with infrastructure cost optimization or model fine-tuning for production use.
Company:
Infra and data for interactive AI. Founded in 2025, the company is headquartered in San Francisco, US, , with a team of 2-10 employees. The company is currently Early Stage.
Velvet is a data research company focused on creating high-quality audiovisual training data for AI. They are seeking a Founding Machine Learning Engineer to build pipelines that convert raw footage into structured training data, managing the full lifecycle from processing scripts to deployment at scale.
Responsibilities:
• Build and enhance post-processing pipelines that clean, validate, and package large volumes of video and audio data for multimodal model training.
• Deploy and fine-tune open-source models for speech recognition, speaker diarization, video segmentation, and related tasks.
• Design infrastructure for large-scale distributed processing — parallelizing thousands of compute jobs across cloud platforms and optimizing for throughput and cost.
Qualifications:
Required:
• Strong experience in ML infrastructure, speech/audio processing, or large-scale data pipelines.
• Proficiency in PyTorch.
• Familiarity with distributed job orchestration.
• Claude Code pilled.
• A bias toward shipping. You default to building, not theorizing.
• Ability to work effectively in an early-stage environment where scope is broad and priorities shift fast.
Preferred:
• Prior work at a data company or frontier AI lab.
• Track record building pipelines that process tens of thousands of hours of audio or video.
• Experience with infrastructure cost optimization or model fine-tuning for production use.
Company:
Infra and data for interactive AI. Founded in 2025, the company is headquartered in San Francisco, US, , with a team of 2-10 employees. The company is currently Early Stage.