63 graduate machine learning engineer jobs at 6 companies in Patterson, CA
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Machine Learning Engineer Graduate (Search Ads) - 2027 Start
San Jose, California, United States
$128k-$256k/yr OnsiteFull Time
Bachelor's or higher in CS/related, strong machine learning foundation, programming in Go/C/C++/Python, experience with TensorFlow/PyTorch/MXNet, ability to work on search/ads relevance and ranking.
Go, C/C++, Python, TensorFlow, PyTorch, MXNet
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Machine Learning Engineer Graduate (Risk & Integrity) - 2027 Start (PhD)
San Jose, California, United States
$137k-$259k/yr OnsiteFull Time
PhD in computer science, engineering, mathematics, statistics, or related field; machine learning, Transformer/GNN, coding, distributed computing, and deep learning expertise required.
Python, C++, Go, Spark, Flink, PyTorch, Transformer, GNN, LLM, SFT, RLVR, RLHF
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Machine Learning Engineer Graduate (Agent Evaluation & Evolution) - 2027 Start
San Jose, California, United States
OnsiteFull Time
Bachelor's or master's degree in a relevant field, machine learning and deep learning foundations, LLM systems experience, strong Python skills, ML or agent evaluation framework experience, and demonstrated research or engineering ability.
Python, Large Language Model (LLM), Model-as-a-Service (MaaS)
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Engineer
San Jose, California, United States
$160k-$208k/yr OnsiteFull Time
Master's in Computer or Electrical Engineering or equivalent; experience with high-performance processors, quantitative system analysis, machine learning (Python), and logic synthesis; graduate-level project or internship acceptable.
Python
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Field Application Engineer SIP
San Jose or Canada or Mexico
$139k/yr FieldFull Time
Master’s degree in electrical, electronics, or computer engineering; graduate-level, internship, or related experience with signal analysis, Python, C, Linux, embedded systems, DSP, wireless technologies, and machine learning.
Spectrum Analyzer, VNA, Python, C, Linux, CSV, DSP, Wi-Fi, Bluetooth, ZigBee
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Intern Yr Rnd - R&D Grad -- ML-based Materials Discovery, Remote
Livermore, California, United States
RemoteMultiple Commitments Available
Ph.D. student in science, engineering, or mathematics with a bachelor's degree, 3.0 GPA, U.S. citizenship, security-clearance eligibility, and machine learning or materials simulation experience.
LAMMPS, atomate, ase, pymatgen, Materials Project, OQMD
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