We are seeking a highly motivated Senior Deep Learning Researcher to join our team! This is an outstanding opportunity to conduct impactful research and…

We are seeking a Deep Learning Research Engineer to join our team and help develop the next generation of Large Language Model (LLM) inference…

…Proven expertise in inference optimization, including quantization, attention acceleration, and deep learning compiler stacks. - GPU & Parallelism: Deep knowledge of GPU programming (CUDA, NCCL) and…

…This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This…

…Data Science, Machine Learning, AI, LLM, GenAI As a Senior Specialist Solutions Engineer (SSE), ML Engineering, you will be the trusted technical ML expert…

…Proven expertise in low-latency on-device inference techniques and a deep understanding of hardware acceleration. Extensive experience with deep learning frameworks (e.g…

…GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, autonomous cars and…

…including LLMs, VLMs, speech models, agentic workflows, pre+post-training, and inference optimization. Experience leading research collaborations with engineering, product, and research teams, including…

…Experience building Deep Research Agents, investigation agents, reviewer-assist systems, retrieval-augmented generation systems, LLM-powered operational workflows, or AI systems that produce grounded…

…You'll often find yourself diving deep into model behavior issues, implementing guardrails for responsible AI deployment, improving inference latency and throughput, and building…

…This role requires deep expertise in causal inference and experimental design, combined with strong applied ML skills and the engineering judgment to translate research…

…Machine Learning Engineer focused on research enablement and performance, turning promising experiments into stable, scalable, user-facing capabilities while making training and inference faster…

…Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in developing and deploying LLMs in…

…Machine Learning Systems team is responsible for development, operations, and maintenance of scale-out machine learning platforms used for training and inference workloads. We…

…learn, statsmodels); ability to build and deploy end-to-end analytical models; experience with advanced regression techniques, time-series analysis, and causal inference. Experimentation…

…Amazon Stores is looking for a passionate and talented Senior Software Development Engineer with deep expertise in building large-scale distributed systems and AI…

…Designing production SLM training and serving systems requires a deep theoretical understanding of modern deep learning, optimization, and systems performance. Specialized Technical Knowledge: 2…

…taken from idea to production impact Deep applied ML expertise across both traditional ML and deep learning: gradient boosting, regularized linear models, transformer-based…

…Familiarity with modern machine learning and inference system trends, especially around LLMs and generative AI. For senior candidates, strong experience in GPU kernel development…

…LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiator - Comfortable discussing API integrations, model inference, data pipelines…

…learning. Our applied AI team sits side-by-side with customers as they ship agents into production. This combination of strong product, deep research…

…Responsibilities Design, train, fine-tune, and evaluate deep learning, classical ML, and foundational GenAI models (LLMs, diffusion models) to drive core product features. Build…

…learning, or related areas. Comparable experience is also considered. Deep technical understanding of LLMs, how data shapes their pre- and post-training, and inference…

…We're seeking strong senior machine learning research engineers to help build next-generation tools for large-scale deep learning. You'll join a…

…5+ years of industry experience in Machine Learning, Infrastructure or related fields Experience with deep learning framework such as Pytorch or Huggingface or LLM…