6 machine learning engineer jobs at 1 company in Spring Valley, NV
🚀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.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Boston or Pittsburgh or Las Vegas or Remote U.S. Only or United States
$144k-$192k/yrHybridFull Time
Motional: Develops autonomous vehicle technology for driverless ride-hailing and delivery.
Bachelor’s, Master’s, or PhD in CS/CE or related; strong Python; PyTorch experience; ML training/inference optimization; problem-solving and data-driven approach.
Boston or Las Vegas or Pittsburgh or United States
$144k-$192k/yrHybridFull Time
Motional: Develops autonomous vehicle technology for driverless ride-hailing and delivery.
BS or MS in CS/ML or related; strong Python; hands-on PyTorch (or TensorFlow/JAX); experience with large datasets, SQL, Pandas, NumPy; version control, CI/CD, and unit testing experience; ML lifecycle and model deployment basics.
Boston or Pittsburgh or Las Vegas or United States
$144k-$192k/yrHybridFull Time
Motional: Develops autonomous vehicle technology for driverless ride-hailing and delivery.
BS/MS in CS/ML, strong Python, hands-on PyTorch (or TensorFlow/JAX), SQL, Pandas, NumPy, experience with large datasets and full ML lifecycle, version control and unit testing proficiency.
Boston or Las Vegas or Pittsburgh or Remote U.S. Only
$144k-$192k/yrHybridFull Time
Motional: Develops autonomous vehicle technology for driverless ride-hailing and delivery.
Bachelor’s, Master’s, or PhD in CS/CE or related field; strong Python; PyTorch experience; ML training/inference optimization; problem solving with data-driven approach.