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
PromotedHiringCafe
Founding Full-stack / Product Engineer
Cupertino, CA, US
$130k-$300k/yr On-SiteFull Time
Help us build a 100× better job search engine. We need a full-stack engineer with great taste, sharp fundamentals, and a track record of shipping polished product on React/Next.js plus a real backend (Firebase, Elasticsearch, Redis, Stripe).
React, Next.js, TypeScript, Firebase, Elasticsearch, Redis, Stripe
2mo
Save
Mark Applied
Hide
Principal Machine Learning Engineer
Santa Barbara or San Diego or Denver
$264k-$330k/yr HybridFull Time
10+ YOESenior ML/AI leader with 10+ years building production ML systems; deep learning and traditional ML expertise; strong software delivery.
Python, PyTorch, NumPy, AWS, Docker, SQL, Embeddings, RAG, LangChain, LangGraph, LangSmith, Copilot
3mo
Save
Mark Applied
Hide
Sr. Machine Learning Engineer
Santa Barbara, California, United States
$160k-$220k/yr RemoteFull Time
5+ YOE5+ years Python in production; ML with PyTorch/scikit-learn; distributed systems and streaming tech; strong math foundation.
Python, PyTorch, scikit-learn, pandas, Kubernetes, microservices, streaming systems, Spark, Flink, Java, JavaScript, TypeScript
1mo
Save
Mark Applied
Hide
Staff Machine Learning Engineer
Santa Barbara or San Diego or San Francisco or Denver
$200k-$250k/yr RemoteFull Time
Production ML infra on AWS; ML tooling; cost discipline; collaboration with ML researchers and engineers.
Python, Docker, CI/CD, AWS, ECS, SageMaker, GPUs, LangChain, LangGraph, TensorRT, Triton
3w
Save
Mark Applied
Hide
Staff Machine Learning Engineer - Leasing
Santa Barbara or San Diego or San Francisco or Denver or Dallas or Atlanta or Chicago or Washington, D.C.
HybridFull Time
Proven experience building production ML systems at scale, architectural leadership, training/fine-tuning LLMs, experience with LangChain/LangGraph and RAG patterns, AI safety/authorization, and production reliability discipline.
LangChain, LangGraph, vLLM, TensorRT, Triton