6 machine learning engineer jobs at 5 companies in Commerce, TX
🚀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.
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
10+ YOE10+ years designing data-intensive distributed solutions, 6+ years programming in C/C++/Python/Scala, 3+ years ML lifecycle experience, experience with production ML, data pipelines, and strong communication and leadership skills.
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
6+ YOEBachelor's degree, 6+ years building distributed data-intensive solutions, 4+ years programming in Python/Scala/Java, experience with GenAI frameworks, LLM orchestration, evals/observability, ML frameworks, and cloud deployment.
Yum! BrandsNYSE: YUM: Global operator of quick-service restaurant brands.
4+ YOERequires 4+ years developing and deploying production ML solutions, proficiency in Python, message queues (Kafka/Pulsar/RabbitMQ), Docker, Kubernetes, and strong analytical and communication skills.
RealPage: Software and data analytics for the real estate industry.
5+ YOE5+ years Python development on production ML systems; strong NLP/transformer experience (Hugging Face, TensorFlow); proficiency with pandas, NumPy, SQLAlchemy, PostgreSQL; ETL pipeline and model serving experience; technical leadership.
10+ YOESenior machine learning engineer with 10+ years of experience in scalable ML systems, strong CS fundamentals, and expertise in Python, PySpark, and distributed big data technologies.