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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Machine Learning Engineer - Data Pipeline
Dublin, California, United States
OnsiteFull Time
BS/MS/PhD in computer science or related, proficiency with deep learning frameworks (e.g., PyTorch), Python, experience with ML for text/vision, strong distributed systems and large-scale data pipeline expertise (Ray, Docker, Kubernetes).
PyTorch, Python, multiprocessing, Ray, Docker, Kubernetes, GitHub, Scrapy, VPNs, Selenium, Hadoop, Datasketch
2mo
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(Senior) Machine Learning Engineer - Reinforcement Learning
Fremont, California, United States
$150k-$250k/yr OnsiteFull Time
3+ YOEM.S./Ph.D. or equivalent experience; 3+ years building production ML with strong RL experience; depth in deep learning and generative models; distributed training and large-scale data processing; strong communication.
Python, PyTorch, LLM, VLM, dLLM, VLA
1mo
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Machine Learning Research Engineer
Livermore, California, United States
$146k-$223k/yr HybridMultiple Commitments Available
MS in CS/Applied Math/Statistics or related; ML research experience; familiarity with PyTorch/TensorFlow; ability to work in multidisciplinary teams.
PyTorch, TensorFlow, High Performance Computing, GPU programming
3d
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Machine Learning Software Developer
Livermore, California, United States
$122k-$186k/yr OnsiteFull Time
Ability to develop ML and LLM-centric software for HPC and multi-modal sensor data; Python/C++/Java proficiency; familiarity with reinforcement learning, agentic AI, GNNs, MCP; ability to obtain DOE Q clearance; BS required, MS preferred.
Python, C++, JAVA, Flux, SLURM, Large Language Model (LLM), Model-Context-Protocol (MCP)
1mo
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Senior Software Engineer AI
Pleasanton, California, United States
$145k-$182k/yr HybridFull Time
Designs and implements machine learning and deep learning algorithms; translates algorithms into production code; applies statistical modeling, optimization, and experimental methodologies; works with large-scale computing and data analysis frameworks.