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
4w
Save
Mark Applied
Hide
Senior Machine Learning Engineer
San Jose, California, United States
HybridFull Time
5+ YOE5+ years applied machine learning experience; strong statistical, optimization, and experimental methodology knowledge; proficient in Spark, Python or Java; experience with real-time, low-latency systems and distributed ML frameworks.
Spark, Python, Java, Spark-MLlib, TensorFlow, Hive, Aerospike, ScyllaDB
1w
Save
Mark Applied
Hide
Machine Learning Platform Engineer, Applied Machine Learning Team
San Jose, California, United States
OnsiteFull Time
3+ YOEBachelor's in CS or related, 3+ years software engineering, proficiency in Python and Golang, experience with distributed computing and large-scale data processing (Hadoop, Spark), strong communication and problem-solving.
Python, Golang, Hadoop, Spark
1w
Save
Mark Applied
Hide
Machine Learning Engineer - E-commerce Recommendation
San Jose, California, United States
$150k-$317k/yr OnsiteFull Time
Bachelor's degree in CS or related field, strong programming and applied ML experience, familiarity with recommendation algorithms and deep learning frameworks, publication or competition experience preferred.
TensorFlow, PyTorch, C++, Python
2w
Save
Mark Applied
Hide
ML Researcher
San Jose, California, United States
$150k-$290k/yr OnsiteFull Time
5+ YOEBS + 5+ years (or MS + 2+ years) in ML research or applied ML engineering; proficiency in Python and C++; experience with PyTorch/TensorFlow, ML pipelines, model deployment, and model optimization for edge/embedded systems.
Python, C++, PyTorch, TensorFlow, TensorFlow Lite, CUDA, AWS, GCP, Azure, Docker, Kubernetes
Explore Jobs