4 ml engineer i jobs at 3 companies in Soquel, CA

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Software Development Engineer I, ML Infra Services, Annapurna Labs
Cupertino, California, United States
$127k-$185k/yr OnsiteFull Time
Amazon
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
Proficiency in Java and at least one of Go, Python, or TypeScript; experience with data structures, algorithms, Git and CI/CD; familiarity with cloud platforms, Linux, and performance profiling.
Java, Python, C++, C#, Go, Rust, TypeScript, Git, CI/CD, AWS, EKS, EC2, Lambda, S3, DynamoDB, SQS, Kubernetes, AWS Neuron, Linux, SQL, NoSQL
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Software Development Engineer I – AI/ML Network Infrastructure, Annapurna Labs
Cupertino, California, United States
$127k-$185k/yr OnsiteFull Time
Amazon
AmazonNASDAQ: AMZN: Global online retail and cloud computing technology provider.
Bachelor's or Master's in CS/CE, strong C/C++ and Linux proficiency, knowledge of OS, parallel architecture and distributed systems, experience with performance profiling and GPU or RDMA concepts.
C, C++, Python, AWS, CI/CD, Grafana, Athena, NCCL, NVSHMEM, NIXL, CUDA, Linux
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Senior Principal Software Engineer
Seattle or Santa Clara or United States
$135k-$306k/yr OnsiteFull Time
Oracle
OracleNYSE: ORCL: Provides cloud infrastructure and enterprise software for global businesses.
10+ YOE10+ years building large-scale distributed systems; strong C/C++; Python or Java; cloud and high-throughput I/O experience; familiarity with RDMA, high-performance networking, AI/ML frameworks, and strong algorithms and troubleshooting skills.
C, C++, Python, Java, OCI, AWS, GCP, Azure, DAOS, SPDK, RMDA, SmartNICs, NVMe/TCP, RoCEv2, Tensorflow/Keras, PyTorch, Scikit-Learn, XGBoost, Caffe, MLOps, Kubernetes
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Applied Researcher I (AI Foundations, Recommendation Systems, Personalization, Reinforcement Learning)
Cambridge or McLean or San Jose or New York
$219k-$272k/yr OnsiteFull Time
Capital One
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
2+ YOEPhD or MS+2 years in CS/EE/AI/math; experience building large deep learning models and LLMs, publications, training/deploying models, strong ML foundation and software engineering skills.
PyTorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs