…Engineering Group, Engineering Group > Software Engineering General Summary: General Summary: Qualcomm is leveraging its strengths in compute, connectivity, and AI acceleration to play a…

…Engineering Group, Engineering Group > Software Engineering General Summary: Job Description The Qualcomm Cloud AI team is developing software solutions for Inference Acceleration. We are…

…with LLMs integration, prompt/context engineering, AI Agent frameworks like Langchain/LangGraph, Autogen, MCPs, A2A. Deep knowledge in Data structures, Algorithms, Machine Learning, Data…

…LLM APIs (OpenAI, Anthropic, etc.), RAG architectures, prompt engineering, vector databases, embeddings, tokenization, and evaluation of generative outputs. Familiarity with AI-assisted development tools…

…deliverables. • Knowledge of machine learning/data science theory, techniques, and tools. • Experience in leveraging Large Language Models (LLMs) and agent AI techniques. • Ability to…

…deliverables. • Knowledge of machine learning/data science theory, techniques, and tools. • Experience in leveraging Large Language Models (LLMs) and agent AI techniques. • Ability to…

…1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of…

…leading AI-powered solutions, production AI applications, LLM-enabled experiences, agentic workflows, intelligent automation, applied machine learning capabilities, or AI-assisted engineering practices. Ability…

…Experience working with AI-powered products, machine learning platforms, or modern cloud infrastructure. Technical background that enables effective partnership with engineering teams on architecture…

…Experience applying machine learning or AI techniques (including LLMs, AI agents, prompt engineering, or RAG) to engineering workflows. Experience building AI-powered automation tools…

…and mastery across various AI/ML domains, specifically: reasoning and open-ended learning framework design for scientific hypothesis generation and evaluation; large-scale pretraining…

…Experience with LLM training/fine-tuning. Experience with vector stores, ranking and retrieval techniques is a plus. Hands-on experience applying common machine learning…

…Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban…

…Powered by the world's most advanced LLMs, our proprietary models, and a sophisticated Agentic AI platform, we're transforming how work gets done…

…Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban…

…Familiarity with a core data or AI domain: modern data engineering, streaming, machine learning, or Generative AI (e.g. RAG, fine-tuning, LLMOps). Experience…

…machine learning package (e.g., Keras, PyTorch, HF Transformers). Experience in applied AI, with building systems around pre-trained models (e.g., prompt engineering…

…agentic AI (planning, tool use, memory), reinforcement learning (RLHF, RLVF, RLGF, offline RL). One or more scientific publication submissions for conferences, journals, or public…

…Expert-level knowledge of advanced AI concepts, including large language models (LLMs), generative media, specialized hardware accelerators (GPUs/TPUs), machine learning frameworks (e.g…

…systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in…

…Demonstrated experience building AI or LLM-powered products, agents, or agentic workflows that real users depend on. - Strong software engineering fundamentals and the ability…

…search-based question answering systems, utilizing both traditional machine learning and cutting-edge generative AI technologies. At Moveworks, we build conversational search systems to…

…applying Generative AI (GenAI) or Large Language Model (LLM) to real-world problems at scale. - Experience in building machine learning systems, recommendation engines, or…

…for senior leadership Generative AI & Automation • Leverage GenAI and LLMs to enhance regulatory data extraction, classification, and reporting workflows • Design AI-augmented solutions (automated…

…Familiarity with large language models (LLMs), core machine learning concepts, model types (supervised, unsupervised, generative), prompt engineering basics, and generative AI use cases relevant…