Job Details

Machine Learning Engineer

  2025-10-30     Kadence     San Carlos,CA  
Description:

This range is provided by kadence. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $280,000.00/yr

Principal Recruiter | Kadence | AI + ML Talent Solutions

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

Seniority level

Mid‑Senior level

Employment type

Full‑time

Industries

Technology, Information and Media

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