- Oracle (Sacramento, CA)
- …implement scalable applications using LLMs, focusing on prompt engineering, model customization, and performance optimization. + Design and orchestrate agent-based ... effective RAG (retrieval-augmented generation) pipelines with robust chunking, embedding model selection, and vector store optimization. + Structure and refine… more
- Snap Inc. (Los Angeles, CA)
- …for large-scale multimodal generative models, shaping a multi-year roadmap of model improvements through data acquisition, curation, and usage. + Design, implement, ... experimentation and evaluation protocols for continuous assessment of data impact on model performance. + Collaborate with researchers, ML engineers, and infra teams… more
- Meta (Menlo Park, CA)
- **Summary:** Meta is seeking a Research Scientist to join our new Large Language Model (LLM) Research team. We are looking for recognized experts in generative AI ... and NLP, with experience in areas like language model evaluation; data processing for pretraining and fine-tuning; responsible LLMs; LLM alignment; reinforcement… more
- Google (Mountain View, CA)
- …Learning Engineers are responsible for improving the Tool Use platform, and horizontal model quality for all services that would like to integrate with GeminiApp, ... Gemini and Gemini Live. This team focuses on horizontal model quality, and infrastructure for scaling to all APIs/MCPs...the things we are working on: + Improving the model 's ability to reason through complex requests, call various… more
- Meta (Sunnyvale, CA)
- …technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization. By consistently integrating cutting-edge AI/ML ... CoreML - Monetization AI Responsibilities: 1. Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques… more
- Oracle (Sacramento, CA)
- …will be leading the effort of building distributed, scalable, high-performance AI model training and serving systems in partnership with our applied scientists and ... software engineers. You will dive deep into model structure to optimize model performance and scalability. You will build state of art systems with cutting-edge… more
- Meta (Menlo Park, CA)
- …join content and user understanding team, with a focus of Large Language Model (LLM). We conduct focused research and engineering to build state-of-the-art LLMs. As ... in generative AI and NLP. Experience in areas like language model evaluation, data processing for pre-training and fine-tuning, LLM alignment, reinforcement… more
- L3Harris (Anaheim, CA)
- …and support end-to-end ML pipelines, including data ingestion, feature engineering, model training, evaluation, deployment, and monitoring. Model & Data ... checks to ensure consistent data flow into AI pipelines. + Conduct model retraining, fine-tuning versioning, and performance improvement as data and mission needs… more
- Oracle (Sacramento, CA)
- …and machine learning workloads. From GPU infrastructure and training pipelines to model serving and deployment tools-we empower teams across Oracle and our customers ... **high-scale GPU cluster management** , **self-service ML infrastructure** , and ** model training and serving systems** . Work on critical AI infrastructure… more
- Intuit (Oakland, CA)
- …+ Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software ... technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team's...getting data access, cleaning up data, and making them " model -ready". You need to be willing and able to… more