- NVIDIA (Santa Clara, CA)
- …+ Oversee performance tuning, profiling, and optimization of large-scale models for LLM , multimodal, and generative AI applications. + Guide engineers in adopting ... learning or inference frameworks such as PyTorch, vLLM, SGLang, Triton, or TensorRT- LLM . + Deep understanding of multi-GPU communications (NIXL, NCCL, NVSHMEM) and… more
- NVIDIA (Santa Clara, CA)
- …building things like new abstractions, efficient attention kernel implementations, new LLM inference runtimes components, and kernel code generators to accelerate ... high impact AI workloads + Designing and implementing extensible abstractions for LLM serving engines + Building efficient just-in-time domain specific compilers and… more
- DoorDash (New York, NY)
- …and increasingly intelligent. You'll join a team driving a new frontier: LLM -powered, code-integrated design systems that redefine how designers build, evaluate, and ... and platform teams to explore how intelligent tooling and LLM -powered workflows can unlock new levels of efficiency, quality,...come together to power every DoorDash experience. + Lead LLM integration in design workflows to define how generative… more
- Amazon (Seattle, WA)
- …customer needs. You will analyze and automate processes for collecting and annotating LLM inputs and outputs to assess data quality and measurement. You will apply ... engineers to help design APIs and evaluate performance of LLM 's - Produce and manipulate different types of language...- 3+ years of designing APIs and working on LLM development - Experience in Python or another scripting… more
- Genentech (South San Francisco, CA)
- …next wave of development, deployment, and industrialization of Predictive AI, advanced LLM - Generative AI and Agentic AI applications + Proactively identify ... approach to data analysis. **Additional Desired** **Candidate Qualifications & Experience** + LLM & Gen AI Expertise: At least 4 years of experience implementing… more
- Walmart (Sunnyvale, CA)
- …and embeddings + Experience with GenAI systems, including RAG and agentic LLM workflows + Fine-tuning LLMs (LoRA, DPO), reducing hallucinations, and implementing ... safety guardrails + Designed LLM evaluation pipelines for factuality, consistency, and relevance +...evaluation pipelines for factuality, consistency, and relevance + Optimizing LLM inference: prompt caching, quantization, retrieval filtering + ML… more
- Google (Mountain View, CA)
- …drive execution and champion innovation for our conversational AI's agentic capabilities. LLM 's are redefining how users interact with technology, and this is a ... responsibilities + Partner with other UX leads to design leading edge LLM -driven multimodal solutions + Architect the E2E conversation design strategy for agentic… more
- Storyful (New York, NY)
- …to upskill marketing & sales colleagues on effective prompt-writing, LLM QA and responsible-AI practices.** **Campaign Optimization & Performance Management** ... sales alignment.** + **Use Python/SQL or Looker Studio to query LLM -generated experiments, identify winning prompts and automate roll-outs.** **Generative-AI &… more
- DataRobot (Boston, MA)
- …Agents and Agentic Workflows, Prompt Management, Frameworks & Libraries, LLM Onboarding,Tools, Multi-Agent Evaluations, Multimodality, etc.) and GenAI systems (eg ... Inference optimization, Distributed Training, Finetuning, Distillation, LLM Moderation and Guardrails, etc.). + Anticipate technical risks and propose mitigation… more
- Amazon (Seattle, WA)
- …responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama ... state of the art LLMs, Open source and internal LLM families, large scale performance and benchmark evaluations etc.,...* develop and performance tune a wide variety of LLM model families, including 500B+ large language models like… more