PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yr On-SiteFull Time
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.
Python, PyTorch, vLLM, SGLang, TensorRT, LLMs
PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yr On-SiteFull Time
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Python, PyTorch, Elasticsearch, LLMs
1mo
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MLOps Engineer
Goleta or United States
$140k-$175k/yr HybridFull Time
5+ YOE5+ years production Python engineering; strong OOP; testing discipline; async/parallel optimization; production Python services; FastAPI/Flask; on-prem deployment
Python, FastAPI, Flask, asyncio, multiprocessing, threading, Ray, Dask, CI/CD, Prometheus, Grafana, MLflow, Kubernetes, on-prem, Git, Docker
1mo
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Principal Software Engineer
Tampa or Thousand Oaks
$157k-$212k/yr HybridFull Time
2+ YOEDeep expertise in ML/Generative AI, MLOps/LLMOps, cloud platforms, and scalable system architecture; proven track record delivering production-grade ML systems; advanced proficiency in Python and modern ML frameworks; degree + experience combinations required.
MLflow, Kubeflow, Airflow, CI/CD, Docker, Kubernetes, AWS, GCP, Azure, Python, PyTorch, TensorFlow, Hugging Face, LangChain, Databricks, Spark, Hadoop, Apache Spark, Apache Airflow, OLAP, OLTP
4w
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Sr Machine Learning Engineer
Thousand Oaks or Jacksonville or Houston
$156k-$211k/yr RemoteFull Time
Expertise in machine learning, MLOps and DevOps, Python and ML libraries (TensorFlow/PyTorch/Scikit-learn), cloud platforms (AWS/GCP/Azure), experience building ML pipelines, and advanced degree or extensive CS experience per listed qualification paths.
AWS, GCP, Azure, MLflow, Kubeflow, Airflow, Docker, Kubernetes, CI/CD, Python, TensorFlow, PyTorch, Scikit-learn, Spark, Hadoop