4 model serving engineer jobs at 4 companies in Burnet, 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.
Seekr: Transparent AI platform for enterprise and government decision-making.
5+ YOE5–8 years building distributed systems or cloud/platform services; production Kubernetes and ML infra experience; strong software engineering in Python and Go/Rust/C++; familiarity with GPU inference, model serving frameworks, and cloud platforms.
Apptronik: Designs and manufactures humanoid robots for industrial automation.
4+ YOEExpert in Python and a systems language (Go/Rust/C++); proven end-to-end MLOps platform ownership (dataset lifecycle, experiment tracking, model registry, evaluation, serving); cloud and Kubernetes experience; 8+ years software engineering or 4+ years direct MLOps ownership.
VisaNYSE: V: Global payment technology facilitating electronic funds transfers.
2+ YOE2+ years with a Bachelor's (or 5+ years experience). Experience with ML infrastructure, MLOps, AWS, Kubernetes/Kubeflow, model serving, IaC (Terraform/CloudFormation), CI/CD, and monitoring (CloudWatch/Prometheus/Grafana).
United States or Canada or San Francisco or New York City or Seattle or Boston or Chicago or Denver or Austin or Portland
$195k-$358k/yrRemoteFull Time
Outschool: Marketplace for live online small-group classes for children.
10+ YOE5+ Mgmt10+ years in data/analytics/engineering roles, 5+ years managing data or analytics teams, strong SQL/dbt/data modeling skills, experience with Redshift, self-serve analytics tools, experimentation, and stakeholder communication.