Machine Learning Engineer

kadence • Full-time • San Carlos, CA, US • $200k - $280k / year • 8h ago

5 days ONSITE, no exceptions in Redwood City, CA

This is a high-impact, hands-on role for ML engineers who want to build and ship production models that perform under real-world constraints. As a founding member of the ML team, you’ll work across the entire stack to enable human-like voice agents capable of supporting millions of real-time conversations.

You’ll fine-tune large language and audio models, implement rigorous evaluation pipelines, and deploy models into latency-critical environments. You’ll own quality end-to-end—from experiments and training workflows to deployment, monitoring, and continuous improvement—while shaping the technical foundation and long-term ML strategy.

If you’re motivated by tough technical problems, rapid iteration, and creating category-defining products at scale, this role offers the chance to help build the future of voice AI from the ground up.

What You’ll Do

Develop and optimize LLMs and audio models for speed, accuracy, and real-time performance
Build datasets and define evaluation metrics that directly guide model improvements
Ship models to production and ensure stability, reliability, and responsiveness at scale
Design mechanisms for collecting and incorporating structured human feedback
Improve ML infrastructure to accelerate experimentation and deployment

You’ll Thrive Here If You

Have experience training and deploying ML models in production environments
Are fluent in Python, PyTorch, and modern ML tooling
Operate with urgency and ownership, prioritizing practical impact over perfection
Are energized by fast-moving, ambiguous startup environments
Communicate clearly and collaborate effectively across teams
Come from a top-tier computer science or engineering program (Bachelor's)

Details:

Compensation: Base + Equity

open to sponsoring work authorization for qualified candidates, including H1B/H-1B, TN, L-1, E-3, F-1 (OPT/CPT), and O-1 visas.

Strong Benefits: 100% paid medical, dental, vision, $700+/month for additional benefits including wellness, commuter benefits, food and more