- Genentech (South San Francisco, CA)
- …demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models ... (Biology Research AI Development) and therapeutic area partners to integrate models into real-world scientific workflows. We are seeking a Scientist/Senior Scientist… more
- Meta (Menlo Park, CA)
- …this via concurrent design and optimization of many aspects of the system from models and runtime all the way to the AI hardware, optimizing across compute, network ... and storage. The team invests significantly into model optimization on existing accelerator systems and guiding the...on existing accelerator systems and guiding the future of models and AI HW at Meta. This drives improved… more
- Lilly (South San Francisco, CA)
- …platform that provides biotech companies with access to machine learning models trained on Lilly's extensive proprietary pharmaceutical research data. Through ... federated learning, the platform enables Lilly to build models on broad, diverse datasets from across the biotech ecosystem while preserving partner data privacy and… more
- Cisco (San Jose, CA)
- …collaborate with passionate experts to build scalable, responsible, and cutting-edge AI models , including Large and Small Language Models , leveraging the latest ... AI solutions. + Analyze data, develop, validate, and deploy machine learning models that drive measurable improvements in operational efficiency and automation. +… more
- General Motors (Mountain View, CA)
- …organization, you will own the end-to-end pipeline for safety-critical ML perception models , from initial research and large-scale data curation to optimization and ... complex intersections to vulnerable road users (VRUs). **Responsibilities:** + End-to-End Model Lifecycle: Own the design, training, validation, and deployment of… more
- Walmart (Sunnyvale, CA)
- …Python string operations like Json Parsing and regex, data pipeline using pandas. ML Model framework including Advanced statistical models (eg Linear models , ... Bayesian inference, SVM, Random Forest, GBM etc.). Deep learning models (eg MLP, LSTM, CNN, Transformers, genAI LLM like...like Python, and deep learning framework like PyTorch. + Model Assessment & Validation - ML Model … more
- University of Southern California (Los Angeles, CA)
- …incumbent will be responsible for the full lifecycle management of machine learning models , including design, build, and maintenance of machine learning models . ... and continuously improve MLOps pipelines for monitoring, versioning, and deploying models in production environments. The incumbent will be responsible for the… more
- quadric.io, Inc (Burlingame, CA)
- …Quadric unique platforms. The AI Inference Engineer at Quadric will [1] port AI models to Quadric platform; [2] optimize the model deployment for efficient ... inference; [3] profile and benchmark the model performance. This senior technical role demands deep knowledge...and AI toolchains/frameworks. Responsibilities: + Quantize, prune and convert models for deployment + Port models to… more
- The Walt Disney Company (Nicasio, CA)
- …frameworks. This position is crucial in enabling seamless workflows for model training, retraining, and deployment, ensuring that cutting-edge AI solutions operate ... research, and production engineering. Your expertise in DevOps principles, model deployment strategies, and scalable infrastructure will support the development… more
- The Walt Disney Company (Nicasio, CA)
- …build, and optimize cutting-edge machine learning systems at scale-leveraging foundational models , neural vocoders, latent diffusion models , and advanced ... post-production environments. + Drive the architecture and deployment of scalable model training pipelines using PyTorch and distributed computing frameworks. +… more