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
1w
Save
Mark Applied
Hide
Senior Software Engineer - AI Research Clusters
Santa Clara or Austin or Westford or United States or Hillsboro or Durham
$152k-$288k/yr HybridFull Time
5+ YOEBS/MS in CS or Engineering (or equivalent), 5+ years software/platform engineering including 3+ years in ML infrastructure or distributed systems, strong coding in Python/C++/Rust, experience with Docker, Kubernetes, GitLab CI, Linux, and AIOps/Agentic AI.
Python, C++, Rust, Docker, Kubernetes, GitLab CI, Linux, Slurm, JavaScript, CSS, REST API
1w
Save
Mark Applied
Hide
Senior Software Engineer - AI Research Clusters
Santa Clara or Westford or Austin or Hillsboro or Durham or United States
$152k-$288k/yr HybridFull Time
5+ YOEBS/MS in CS or engineering (or equivalent), 5+ years software/platform engineering with 3+ years in ML infra or distributed systems, strong coding in Python/C++/Rust, Docker, Kubernetes, GitLab CI, Linux experience.
Python, C++, Rust, Docker, Kubernetes, GitLab CI, Slurm, Javascript, CSS, Linux
3w
Save
Mark Applied
Hide
AI Solutions Architect - West Region
Phoenix or San Diego or San Francisco or Los Angeles or Denver or Portland or Seattle
$185k-$235k/yr OnsiteFull Time
10+ YOEMinimum 10 years in technical pre-sales or solutions architecture; hands-on AI/ML infrastructure design experience; ability to whiteboard end-to-end AI architectures; bachelor’s degree required; experience with NVIDIA systems and public cloud platforms.
NVIDIA DGX/HGX, CUDA, AI Enterprise, NeMo, Omniverse, NVAIE, AWS, Azure, GCP, Dell, HPE, Cisco, NetApp, Pure Storage, Vast Data
1mo
Save
Mark Applied
Hide
Business Intelligence Analyst
Portland, Oregon, United States
RemoteFull Time
3+ YOEBachelor's in CS/Data/IS with 3 years experience; 3 years with GenAI (LLMs, LangChain, Hugging Face), AI/ML (Scikit-learn, TensorFlow, PyTorch, etc.), MLOps, data engineering, BI tools, cloud platforms; domestic travel ~10%; remote in U.S. allowed.
LLMs, Prompt Design, Prompt Engineering, LangChain, Hugging Face, Scikit-learn, TensorFlow, PyTorch, Keras, Pandas, NumPy, Spark ML, NLTK, H2O, AutoML, RapidMiner, Rasa, cuDNN, Docker, Kubernetes (AKS), CI/CD, REST APIs, FastAPI, Uvicorn, Apache Airflow, Kafka, Flume, Hadoop, Drill, Matplotlib, Seaborn, Grafana, Microsoft Power BI, Tableau, Superset, Snowflake, PostgreSQL, Oracle, MySQL, HBase, Hive, SQL, Microsoft Azure (OpenAI, AI Search, ML), AWS (S3, Athena), GCP (Dialogflow, Data Studio), Git, SVN, Jira, Confluence, Microsoft Azure DevOps, Windows, Linux