4 model deployment engineer jobs at 2 companies in Seaside, CA
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
E-Space: Builds sustainable LEO satellite networks for global IoT connectivity
Plan and execute vibration, shock, acoustic, and thermal-vacuum tests for large deployable antenna structures; instrumentation, data acquisition, test procedures, anomaly disposition, and model-test correlation.
Los Gatos or Seattle or New York City or Los Angeles
$466k-$750k/yrOnsiteFull Time
NetflixNASDAQ: NFLX: Provider of global streaming entertainment and video content.
Expertise in Java, C++, Python, or Scala; experience building low-latency ML model deployment and inference infra, large-scale data processing (Spark), ad-tech modeling (yield, bidding, forecasting), and productionizing models.
E-Space: Builds sustainable LEO satellite networks for global IoT connectivity
BS/MS/PhD in Aerospace or Mechanical Engineering; proficiency in FEA (Nastran or ANSYS); experience with structural dynamics, integrated FEMs, model-test correlation, and flight/high-reliability hardware.