5 junior mlops engineer jobs at 5 companies in Berkeley, 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.
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.
Hayden AI: Mobile vision AI systems for automated traffic enforcement.
1+ YOE1-2 years building and deploying ML perception models in production; Bachelors or Masters in Computer Science or related; hands-on PyTorch and Python; cloud experience (AWS/GCP/Azure); familiarity with MLOps, NVIDIA edge stack and CUDA.
Arize AI: Platform for monitoring and evaluating artificial intelligence models.
2+ YOE2+ years software development experience; comfortable in at least two of Python, Java, and TypeScript; experience with MLOps/GenAI in production, cloud platforms (AWS/GCP/Azure), Docker and Kubernetes; strong communication and project management.
2+ YOEBachelor's or equivalent,2+ years software development (Python,C++),1+ year GenAI experience,experience with ADK and Google Cloud,EMR not mentioned,excellent communication and critical thinking.
Python, C++, Agent Development Kit (ADK), Google Cloud Platform (GCP), MLOps
DataRobot: Provides an enterprise platform for building and governing AI.
Pursuing or recently completed BS/MS in CS/data science/engineering; proficiency in Python (pandas,numpy); foundational ML knowledge; strong communication and autonomy; passion for autonomous agents.
CiscoNASDAQ: CSCO: Develops and sells networking hardware and cybersecurity software.
2+ YOEBachelors +2 yrs or Masters +0 yrs in CS/AI/ML or related; strong Python and PyTorch experience, AI/ML libraries, LLM training/fine-tuning, scalable data curation, and production-grade software engineering.