- Insight Global (San Jose, CA)
- …training techniques like Distributed Data Parallel (DDP), Fully Sharded Data Parallel (FSDP), ZeRO, and model parallelism (pipeline/tensor). Experience with ... End-to-End ML Lifecycle: Solid grasp of the full machine learning workflow-from data collection and model training to deployment, inference, optimization, and… more
- NVIDIA (Santa Clara, CA)
- …and reinforcement learning), optimize models and evaluate performance. + Design and implement data strategies for model training and evaluation that includes ... collection, cleaning, labeling, augmentation, RL verifier datasets to improve model performance. Actively identify and manage data ...improve model performance. Actively identify and manage data issues such as outliers, noise, and biases. +… more
- Coinbase (Sacramento, CA)
- …Attendance is expected and fully supported. The CDP Foundations team owns the core data model and primitives that power the Coinbase Developer Platform. We build ... (free step by step tutorial can be found here)](http://www.chromevox.com/tutorial/). *Global Data Privacy Notice for Job Candidates and Applicants* Depending on your… more
- Target (Sunnyvale, CA)
- …plus years' of experience in end-to-end Machine Learning application development, including data pipelining, model optimization, deployment, and API design + ... about Target here. Join our global in-house Tech and Data Sciences team of more than 5,000 software engineers,...+ Experience creating and maintaining CI/CD pipelines for automated model deployment and testing + Work in partnership with… more
- NVIDIA (Santa Clara, CA)
- …seeking an Applied AI Engineer to lead end-to-end solution development - spanning data generation, model training, orchestration, and agentic automation - for ... + Be responsible for the end-to-end lifecycle - from data curation and model training to deployment, monitoring, and continuous improvement in production… more
- MongoDB (Palo Alto, CA)
- …generative AI in process automation, risk detection, and financial insights including data preparation, model testing, or prompt engineering for AI-driven tools. ... a hands-on opportunity to explore the intersection of finance, data , and technology in a dynamic, fast-paced environment. You'll...are considered hybrid employees, designated the "in office" working model and are expected to be in their office… more
- Amazon (Mountain View, CA)
- …end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring. 2. Designing ... - Experience building ML pipelines with MLOps best practices, including: data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed… more
- Amazon (Mountain View, CA)
- …end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring. 2. Designing ... - Experience building ML pipelines with MLOps best practices, including: data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed… more
- Insight Global (Fremont, CA)
- …DMTF standards such as Redfish, MCTP (Management Component Transport Protocol), PLDM (Platform Level Data Model ), and SPDM (Security Protocol and Data ... the design, development, and debugging of embedded firmware for servers and data center platforms. This role focuses on enabling independent, out-of-band management… more
- SLAC National Accelerator Laboratory (Menlo Park, CA)
- …the end-to-end development of AI/ML solutions on AWS: from problem definition, data ingestion, feature engineering, model development/training, to deployment and ... requirements into scalable, performant AI solutions. + Design and implement data pipelines, orchestration, model training, evaluation, and deployment leveraging… more
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