5 machine learning engineer jobs at 4 companies in Superior, AZ
🚀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.
Senior Machine Learning Engineer, Applied AI & Data
Scottsdale, Arizona, United States
HybridFull Time
GitKraken: Developer experience platform for software collaboration and productivity.
Senior-level, hands-on experience in applied machine learning/AI with a track record of shipping ML-powered product features; able to scope ambiguous problems, prototype quickly, integrate models into production, define metrics, and communicate with cross-functional partners.
Mexico City or Mexico or Scottsdale or United States or North America or South America
RemoteFull Time
Sonatafy Technology: Provides nearshore software engineering and team augmentation services.
5+ YOE5+ years in data analytics/data science with experience building and deploying ML models; strong Python, SQL, dbt skills; experience with data modeling, feature engineering, evaluation metrics, and stakeholder communication.
SQL, dbt, Python, pandas, NumPy, matplotlib, seaborn, scikit-learn, XGBoost, LightGBM, Google BigQuery, Snowflake, Redshift, MLflow, Weights and Biases, PyTorch, TensorFlow
AI Engineer/ML Engineer - Senior Developers - AI Training - Mesa, US
Mesa, Arizona, United States
$80/hrRemoteContract, Part Time
Prolific: Platform connecting researchers and AI developers with verified participants.
BS/MS/PhD in CS/AI/Robotics or quantitative field; production ML model experience; deep learning and LLM expertise (prompting, RLHF, RAG); ability to audit models, spot hallucinations, and critique outputs.
onsemi: Designs and manufactures semiconductor solutions for power and sensing.
5+ YOEMasters or PhD in EE/micro-electronic design/device engineering; 5+ years TCAD device development or EDA applications experience; working knowledge of Synopsys or Silvaco TCAD tools; machine learning/data analytics experience.