Model Jobs in Santa Rosa, CA (NOW HIRING)

Define model architecture, training approach, evaluation, and iteration cycles * Improve model performance across accuracy, reliability, and explainability Data Infrastructure & Engineering * Build ...

Our models decide who gets credit, how much, and under what terms. They underwrite customers across a wide range of credit profiles, including many with thin or no traditional credit history. The ...

Model conversion, quantization, and inference rollout * Manage hybrid compute infrastructure (cloud, on-prem, GPU clusters) for training and inference workloads using Kubernetes, Ray, and Terraform

Own end-to-end model lifecycle management: pretraining, fine-tuning, validation, inference optimization, and CI/CD integration. * Guide the development of personalized model adaptation workflows to ...

The model should identify critical barriers and provide strategies to enable performance optimization and durability mitigation. In addition to cell level modeling, particular emphasis will be on ...

The biggest bottleneck in modern AI isn't always the model--it's everything around it. Training runs that fail halfway through. GPU clusters that sit underutilised. Researchers waiting on ...

The biggest bottleneck in modern AI isn't always the model--it's everything around it. Training runs that fail halfway through. GPU clusters that sit underutilised. Researchers waiting on ...

Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems. * Implement advanced machine learning algorithms ...

The DFM R&D Lab plays a critical role in developing the materials, processes, and predictive modeling frameworks that enable advanced semiconductor packaging and microelectronics technologies to ...

Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems. * Implement advanced machine learning algorithms ...

Establish model governance, monitoring, versioning, explainability, and model lifecycle management processes. Collaborate with Data Engineering teams to build scalable feature engineering and data ...

Supporting model development for prediction, classification, clustering, and biological interpretation * Prototyping AI tools that improve research productivity, reproducibility, and scientific ...

This role will contribute to efforts that use imaging, quantitative analysis, foundation models, and modern AI to better understand the biological mechanisms of aging and identify new ways to measure ...

Supporting model development for prediction, classification, clustering, and biological interpretation * Prototyping AI tools that improve research productivity, reproducibility, and scientific ...

Contribute to model observability, drift detection, error classification, and alignment * Optimize inference latency and GPU resource utilization across cloud and on-prem environments Desired ...

Establish model governance, monitoring, versioning, explainability, and model lifecycle management processes. Collaborate with Data Engineering teams to build scalable feature engineering and data ...

Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes * Coordinate with different functional teams to implement models ...

Ensure pipelines support efficient model training and retraining workflows, enabling continuous improvement of AI/ML models. * Collaborate with AI/ML researchers to define data requirements and ...

You will work closely with ML modelers, product engineers, risk analysts, compliance partners, and operations teams to respond quickly to evolving abuse patterns without creating unnecessary friction ...

This role will help develop innovative AI-enabled systems for organizing, harmonizing, analyzing, modeling, and interpreting large datasets generated across multiple collaborators, institutions ...