Founding ML Engineer (SF hybrid / onsite)

Founding Machine Learning Engineer

Location : San Francisco, CA (Onsite preferred, Remote considered for exceptional candidates)

Type : Full-time

Visa Sponsorship : Available for candidates already based in the U.S.

Compensation : Competitive salary + 0.5%-2% equity

Start Date : ASAP

About Outspeed

Outspeed powers emotionally intelligent voice companions and agents with emotion and memory -redefining the way humans interact with machines through real-time, expressive, and persistent voice interfaces.

We're solving some of the toughest problems in machine learning and systems engineering-from low-latency inference and scaling, to multi-user conversational memory and emotion modeling. If you're excited by the frontier of conversational AI, you'll be at home here.

Founded in 2024 and based in San Francisco, we're a tight-knit team of 4 building at the intersection of speech, emotion, and intelligence.

Learn more : outspeed.com

What You'll Do

• Own and scale key ML systems : speech models, memory, emotional synthesis, real-time transformers
• Optimize inference latency and throughput for streaming models
• Architect data pipelines for fine-tuning and continual learning
• Collaborate across voice UX, product, and backend infra to ship intelligent, responsive agents
• Push the limits of what's possible in conversational AI-from prototype to production

You Might Be a Fit If You Have :

Bonus Points For :

⚠ What We're Not Looking For :

Work Culture & Expectations