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
3mo
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Senior Machine Learning Engineer, Computer Vision, HD Map and SLAM
Houston or San Francisco
HybridFull Time
Advanced degree in CS/robotics/related fields; strong ML/vision knowledge, transformer models; proficient in PyTorch/TensorFlow; able to work independently in a fast-paced environment.
PyTorch, TensorFlow, TensorRT
3mo
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Senior Product Manager – Edge AI, Computer Vision & Multimodal Inference
Fort Collins or Spring
$147k-$231k/yr OnsiteFull Time
10+ YOE10+ years delivering computer vision or multi‑modal AI, experience with edge/distributed systems, Python ecosystem familiarity, data‑driven decision making, cross‑functional leadership, agile methodologies, Bachelor's in CS/Engineering/Data Science (MBA/advanced preferred).
Python
2w
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Machine Learning/Deep Learning Engineer(PhD, New Grad)
Houston or San Francisco
OnsiteFull Time
Advanced degree (Master's or PhD) in a quantitative field, strong ML/deep learning and computer vision knowledge, proficiency in Python and deep learning frameworks, strong software engineering fundamentals.
Python, PyTorch, TensorFlow, TensorRT, ONNX, CUDA, C++
1mo
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Cut to Length Operator
Houston, Texas, United States
OnsiteFull Time
1+ YOEHigh School Diploma or GED; 1-2 years in a production process (metals preferred); measuring skills; basic computer skills; ability to read work orders; pass vision/hearing mobility physical
Measuring devices, Micrometers, Gauges, Calipers, Templates, Rulers, Computer skills
4w
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Assistant / Associate Professor of Surgery - VITAL Lab (AI & Aortic Surgery Research) (Houston, TX, US)
Houston, Texas, United States
OnsiteFull Time
PhD in CS/engineering/data science, expertise in machine learning/deep learning/computer vision, track record of peer-reviewed publications, experience building large research datasets/platforms, and demonstrated leadership in research.