Founding ML Engineer: Build Scalable Video Data Pipelines

Velvet; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A data research company is seeking a Founding Machine Learning Engineer in San Francisco to build and enhance ML pipelines for processing audio and video data. This role combines hands-on execution with engineering challenges. Responsibilities include designing processing scripts and fine-tuning open-source models. Ideal candidates should have strong experience in ML infrastructure and proficiency in PyTorch. The position requires adaptability and a commitment to high data quality, impacting the performance of AI models.

Qualifications

• Strong experience in ML infrastructure, speech/audio processing, or large-scale data pipelines.
• Proficiency in PyTorch with familiarity in distributed job orchestration.
• Ability to work effectively in an early-stage environment where scope is broad.

Responsibilities

• Build and enhance post-processing pipelines for large volumes of video and audio data.
• Deploy and fine-tune open-source models for speech recognition and related tasks.
• Design infrastructure for large-scale distributed processing across cloud platforms.

Skills

ML infrastructure

Speech/audio processing

Large-scale data pipelines

Proficiency in PyTorch

Job description

A data research company is seeking a Founding Machine Learning Engineer in San Francisco to build and enhance ML pipelines for processing audio and video data. This role combines hands-on execution with engineering challenges. Responsibilities include designing processing scripts and fine-tuning open-source models. Ideal candidates should have strong experience in ML infrastructure and proficiency in PyTorch. The position requires adaptability and a commitment to high data quality, impacting the performance of AI models.