8 ai speech engineer jobs at 2 companies in Prunedale, CA
4w
Save
Mark Applied
Hide
4w
AI Inference Engineer - Speech
Seattle or San Jose
$152k-$332k/yrHybridFull Time
ZoomNasdaq: ZM: Provides a cloud-based platform for video, voice, and collaboration.
3+ YOEMaster's in CS/EE or related,3+ years in speech recognition or model inference,deep learning expertise,experience with Python,C/C++,CUDA,TensorRT,PyTorch,TensorFlow and GPU optimization.
2+ YOEBachelor's degree or equivalent experience; 2 years software development (1 year w/ advanced degree); 1 year ML or speech/audio or ML infrastructure; 1 year security engineering or exposure; strong CS fundamentals.
5+ YOEBachelor's or equivalent, 5+ years ML/AI experience (speech/audio, RL, ML infrastructure), experience with GenAI concepts, model deployment and evaluation, strong problem solving and communication.
5+ YOEBachelor's degree or equivalent; 5+ years programming in Python or C++; 3+ years testing/maintaining/launching software and ML infrastructure experience; expertise in ML areas (speech, RL, deployment).
5+ YOEBachelor's degree or equivalent experience; 5 years programming in Python or C++; 3 years product lifecycle experience and ML infrastructure; 1 year software design/architecture; experience in speech/audio, reinforcement learning, or ML specialties.
2+ YOEBachelor's degree or equivalent experience, 2+ years software development (or 1 with advanced degree); 1+ year experience in speech/audio, reinforcement learning, or ML infrastructure; EM infra and model deployment experience; strong communication and critical thinking.
5+ YOEBachelor's or equivalent, 5+ years programming in Python or C++, 3+ years testing/maintaining software and ML infrastructure, active experience in speech/audio or reinforcement learning preferred, EM/architecture experience, strong communication and critical thinking.
2+ YOEBachelor's degree or equivalent experience; 2 years software development experience (or 1 year with advanced degree); 1 year experience in ML areas (speech/audio, reinforcement learning, or ML infrastructure); ML infrastructure experience and strong problem-solving skills.