ML Platform Engineer (Data & Evals)

At MetaVoice, our goal is an AI for voice conversations that's as natural as talking to a person.

Today's voice AI fails at real-world conversations. It’s slow, turn-based like a walkie-talkie, breaks with interruptions, and doesn’t understand emotion.

Developers can't build compelling experiences and users disengage. This limits voice AI to simple receptionist tasks and basic customer support, blocking meaningful services (sales, therapy, coaching) where dialogue and emotional intelligence matter most. Scaling current tech does not work.

We're building voice AI that's as natural as talking to a person. Our approach is a duplex speech-to-speech model that learns conversational behaviour directly from data.

MetaVoice is founded by:

• Sid, founding engineer at Wayve.ai ( $2.5B+ raised)
• Vatsal, co-created Alexa’s first AI voice.

We’re passionate about building products people truly love.

The role

This is a founding engineer role owning the ML data & evaluation platform that model development runs on.

Who we're looking for

You’ve worked on distributed ML infra and understand that model quality is often a data problem. You:

• Have a track record of taking initiative and learning things quickly.
• Care deeply about the people using the systems you build, whether they're researchers, operators or customers
• Have built something yourself (startup, side project, etc) or worked in an early-stage startup

What you've done

• Built distributed ML data pipelines to generate datasets for training and evaluation, including curation, sampling and slicing.
• Built and operated MLOps infrastructure to train, evaluate and serve ML models, including versioning, orchestration and observability.
• Built eval systems to measure model quality and catch regressions.
• Developed internal tools and workflows for researchers and operators to explore data and iterate fast.

Strong plus:

• Designed data flywheels: automated data collection and model update loops.
• Designed evaluation frameworks: automated or human-in-the-loop
• Experience with speech, audio, or conversational datasets

What we offer

• Change the world (when we succeed)
• Environment to do the best work of your life.
• Small, humble and talent dense team.
• Opportunity to make cutting-edge research work in real-world scenarios.
• Work with 100+ TBs of data and 10B+ parameter models.

Culture

• We're an in-person team in San Francisco & love working together. It helps us learn from one another and make decisions quickly.
• We ship fast & obsess over making customers happy.
• We offer high autonomy, allowing everyone to do their best work.

Compensation & Benefits

• Significant equity as a founding team member.
• $180K-300K base.
• Immigration support, we are immigrants ourselves.
• Fully covered medical, dental, and vision insurance

Interview Process

We move with speed, and aim to go from first interview to offer within a week.

• Vibe check, 30 mins: chat with one of the founders about the mission, product and your background
• Technical Interview: 30 mins
• Culture interview: 30 mins
• Onsite co-work: Spend half a day with us. We'll build and iterate on a problem together.