6 ml ops engineer jobs at 5 companies in Compton, 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.
4+ YOE4+ years in MLOps/ML Engineering/DevOps, strong Python, Apache Airflow, MLflow, AWS (Batch, EC2, S3, IAM, CloudWatch), Docker, Git, SQL/Snowflake, monitoring/alerting, CI/CD, IaC, and experience with production ML lifecycle and healthcare security (HIPAA/SOC 2) preferred.
Boston or Indianapolis or Raleigh or Charlotte or Jacksonville or Chicago or Cincinnati or Cleveland or Columbia or Kansas City or Columbus or Dallas or Las Vegas or Los Angeles or Baltimore or Birmingham or St. Louis or Salt Lake City or San Diego or San Francisco or Silicon Valley or Seattle or Stamford or Tampa or Toledo or Austin or Washington or New York or Florham Park or Philadelphia or Phoenix or Pittsburgh or Houston
$77k-$202k/yrOnsiteFull Time
PwC: Providing audit, tax, and management consulting services to businesses.
4+ YOEBachelor's degree; 4+ years software or data engineering; experience with dbt on Databricks; healthcare analytics experience; CI/CD pipelines for Databricks; Azure Databricks workspace provisioning; Python CLI tools.
Databricks, dbt, Azure Databricks, Python, YAML, argparse, CI/CD, AI agent systems
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
12+ YOE12+ years of experience leading decision scientists/ML engineers; strong statistical and modeling fluency; proficient in Python/SQL/R; able to deploy production-grade decision-science software; leadership and collaboration skills; experience with GitLab/GitHub, Docker, CI/CD.
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
5+ YOE5+ years in production ML engineering; strong CS/math background; backend microservices; cloud (AWS); data pipelines; ML Ops; leadership and collaboration.
8+ YOEPhD (8+ yrs) or MS (10+ yrs) in a relevant technical field; 8+ years designing, building, and deploying ML/DL/Gen-AI models; hands-on experience with production ML/LLM ops, scalable systems, and leading technical teams.
Match GroupNasdaq: MTCH: Provider of a global portfolio of online dating services.
Experienced AI/product builder to prototype, ship, and iterate AI tools for legal work; strong applied ML/AI judgment, prototyping, evaluation, and ability to partner with legal, engineering, and ops teams.