3 machine learning engineer jobs at 2 companies in Corrales, NM

PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yr On-SiteFull Time
HiringCafe
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
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
HiringCafe
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
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
2d
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Advanced Packaging Process Integration Engineer
Albuquerque or Rio Rancho
$76k-$146k/yr OnsiteFull Time
Intel
IntelNasdaq: INTC: Designs and manufactures microprocessors and semiconductor components.
1+ YOEBachelor's in STEM, 1+ year relevant experience or Master's with no experience; skills in process integration, data analysis, statistics, machine learning, and communication.
3w
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Geo-Energy Systems Postdoctoral Researcher
Los Alamos, New Mexico, United States
$100k-$110k/yr OnsiteFull Time
Los Alamos National Laboratory
Los Alamos National Laboratory: Multidisciplinary research institution supporting national security and science.
PhD in a relevant STEM field, expertise in subsurface systems or reservoir engineering, experience with data analytics/machine learning and techno-economic or geospatial analysis, strong written/oral communication and publication record.
1mo
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Postdoctoral Research Associate in AI-Accelerated Molecular and Materials Modeling
Los Alamos, New Mexico, United States
OnsiteFull Time
Los Alamos National Laboratory
Los Alamos National Laboratory: Multidisciplinary research institution supporting national security and science.
Ph.D. in chemistry, physics, materials science, chemical engineering or related (completed within last 5 years); experience with DFT/TD-DFT, atomistic simulations, machine learning/surrogate modeling, and Python; strong communication skills.
DFT, TD-DFT, CASSCF, GW/BSE, Python