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Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Manager, Large Language Model Inference”. A match may be a passing mention rather than the job itself. Titles only.
564 roles across 664 listings · show every listing · page 1 of 23
…With demand for AI exploding, particularly in the realm of large language models (LLMs) and vision language models (VLMs, VLAs), we are significantly expanding…
…and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - 1+ years of designing and developing large-scale, multi…
…large-scale neural models. - Command of the modern speech-generation stack and the open problems behind naturalness, expressiveness, controllability, robustness, voice consistency, and inference…
…Design, develop and maintain large-scale multimodal model pretraining and post-training frameworks. Design, develop and maintain large-scale multimodal model inference and serving…
…on Solid depth in how large language models work: failure modes, context constraints, and how prompt design shapes model behavior at scale Practical prompt…
…Experience with vision, vision-language, video, and other multimodal models. Experience with multimodal generative modeling, training and inference. Preferred qualifications: Experience with capture methodologies…
…SDKs), and tools, ensuring they meet the evolving needs of Large Language Models (LLMs) workflows. Solve technically tests problems that exceed the scope of…
…across spoken language, visual, and text modalities, and we build the runtime systems that turn customer experiences into reality through those models. We partner…
…large datasets and economic models to drive organizational impact and change in a private or public sector context. • Experience with production-grade languages (e…
…Our team is responsible for detecting, correcting, and enriching catalog metadata in real-time, leveraging technologies such as large language models (LLMs), computer vision…
…Experience leading the product development life-cycle for applications natively powered by foundation models (Large Language Model (LLMs)/Lower Mass Market (LMMs) or agentic…
…transit, and key rotation using AWS Key Management Service (KMS) and related services Conduct threat modeling , architecture reviews, and secure design assessments for new…
…About the team Our SambaStack inference serving platform is pushing the boundaries of generative AI and large language models. We are a team of…
…inference, survey research, or large-scale behavioral data analysis Experience applying statistical modeling techniques (e.g., regression, survival analysis, Bayesian methods, causal inference) to…
Overview The M365 Core Copilot Infrastructure team builds and operates the Large Language Model (LLM) platform that powers AI experiences across Microsoft 365. We…
…and they have to hold up at the scale of frontier model inference. You'll design and build those abstractions, plus the tooling that…
…one software programming language - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and…
…Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Experience using managed ML/AI solutions Amazon…
…management, build processes, testing, and operations, or experience managing teams - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles…
…We build everything end to end, from data preparation to model training and evaluation to inference, along with all the tooling needed to understand…
…models into clear explanations and “reason codes,” influencing cross-functional stakeholders and senior leadership Exposure to enterprise artificial intelligence enablement, large language model-assisted…
…Generative AI, large language models, prompt engineering, RAG, AI agents, or MCP Model training, fine-tuning, inference, evaluation, benchmarking, or model harnesses Data engineering…
…résultats The Core AI Model Training team leads research and engineering across the full lifecycle of large language model development for enterprise use cases…
…including training, inference, feature management, governance Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability Lead…
…on Solid depth in how large language models work: failure modes, context constraints, and how prompt design shapes model behavior at scale Practical prompt…