…and post-training methodologies for large language models specialized in code intelligence - Invent and implement state-of-the-art agentic RL training recipes that…

…Hands-on experience with Python, PyTorch and GPU-accelerated training, inference, performance optimization, or serving. Research and engineering judgment, with the ability to find…

…The work can enable autonomous-driving simulation, robot policy development and testing, game worlds, medical simulation, and virtual training. As a Research Engineer, you…

…Experience with large-scale model training is a plus. Potential internships require research experience in at least one of the following areas: Large Language…

…Experience with large-scale model training is a plus. Potential i nternships require research experience in at least one of the following areas: Next…

…Hardware-software co-design Systems for AI/ML S ystems Infrastructure for large LLM training and inference Systems/AI algorithms codesign (e.g., for…

…Hardware-software co-design Systems for AI/ML Systems Infrastructure for large LLM training and inference Systems/AI algorithms codesign (e.g., for sparsity…

…Lead initiatives to educate and train cross-functional teams - including workshops, training sessions, and educational materials - on experimentation design, statistical methodology, and causal inference…

…Cloud infrastructure on capacity and multi-region risk, inference and training on failure modes in the serving and training stacks, performance on zero-downtime…

…What We’re Looking For • Advanced degree in Statistics, Mathematics, Operations Research, Economics, Engineering, Computer Science, or a related quantitative field, or equivalent practical…

…Follow research trends in AI to guide the group keep solutions state-of-the-art. - Collaborate with research and engineering teams. Qualifications Required/Minimum…

…Training, RL & Evaluation Infrastructure • Build and scale the offline inference systems behind post-training — high-throughput rollout generation and reward-model serving for reinforcement…

…This critical role bridges advanced LLM research and practical deployment, involving the development of model architectures, improving training and inference efficiency, and collaborating on…

…Mentor research scientists and engineers on the team, upleveling internal capabilities in post-training and agentic AI. PhD in Computer Science, Machine Learning, Natural…

…post-training custom models. The focus is on measurable improvements to the overall agent. This role also requires a understanding of production engineering and…

…researchers and engineers across the full machine learning lifecycle, from architecture exploration and large-scale training to post-training optimization and high-performance inference…

…a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research). Prior experience in data science, product analytics within a…

…Engineering Group, Engineering Group > Machine Learning Researcher General Summary: Qualcomm AI Research is looking for world-class researchers in artificial intelligence to join our…

…and comfortable working with engineering teams to understand product capabilities. - Knowledge of AI/ML infrastructure, model training, and post-training concepts. - Familiarity with developer…

…Proven ability to design, implement, and optimize scalable ML architectures, from distributed training to real-time inference. Strong software engineering skills in Python, C…

…key workloads with ultra high-speed inference. Key Responsibilities - Work with architects, designers, post silicon and software engineers to ensure a high-quality design…

…Architect production-level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with…

…Deep, current taste in LLM research. You understand how a model is trained from scratch — data, tokenization, architecture, pretraining dynamics, the full post-training…

…Very few researchers get to run this loop, form a hypothesis about model behavior, commission the exact data to test it, post-train, and…

…scale and reliability required for frontier AI training and inference. We partner closely with datacenter operations, research, and infrastructure teams to deliver high-leverage…