ML Program Lead

David AI • San Francisco, CA

16h

About The Position

As an ML Program Lead, you will work closely with our ML research team to define data annotation requirements and manage our team of audio engineering QAs to operationalize them and deliver audio model training datasets. You’ll need technical depth, an operator’s mindset, and the ability to manage a large, geographically distributed team of operators.

Requirements

• 3+ years in program or product management, consulting, or similar experience.
• Technical foundation in CS, Engineering, or similar.
• Experience in data collection and/or the ML model training process.
• High-execution operator: organized, detail-oriented, and uncompromising on quality.
• Excellent analytical and problem-solving skills with attention to detail; SQL required.
• Systems thinker who can spot leverage points and design for scale and durability.
• Strong product intuition; able to work with engineers and researchers to get to the correct answer.
• Collaborative and low-ego; willing to roll up your sleeves.

Nice To Haves

• Experience in audio engineering, sound mixing, or operating a sound board

Responsibilities

• Work with ML researchers to identify and define audio events and acoustic quality issues (What counts as “muffled” audio? How do we define “robotic artifacts”?).
• Turn these definitions into actionable guidelines for our expert audio QAs to label internal audio data.
• Manage the QA team in a rapid iteration loop of labeling audio samples, getting feedback from ML researchers, and refining the annotation process to deliver high-quality training and eval sets.
• Conduct quality audits on annotation and post-processing models before they land in production.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed