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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Research Engineer, Post-Training Inference”. A match may be a passing mention rather than the job itself. Titles only.
29 roles across 30 listings · show every listing · page 1 of 2
…How we think → https://wisprflow.ai/post/the-master-plan The team is still small enough that every person shapes what gets built. ABOUT…
…level, and integrate research ideas into production code that delivers measurable speedups in real pipelines (training, post-training, and inference). Our team is small…
…our app via analysis, research, and by leveraging granular user action and sequence datasets. Partner: With product and engineering, drive technical frameworks and science…
…Background in GPU or Deep Learning ASIC architecture evaluation for training and/or inference. Strong programming skills in Python and C++. Ways to stand…
…Expertise in deploying large-scale training and inferencing pipeline Experience with pre-training, post-training of transformer-based architectures for language or vision A…
…up new compute platforms that can support large-scale AI training and inference. Your work will range from prototyping system software on new accelerators…
…Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About…
…adaptive reasoning. - Collaborate with a team of researchers and engineers building end-to-end infrastructure for training, evaluating, and integrating embeddings into frontier models…
…This is an opportunity to work with top engineers, researchers, and partners across NVIDIA and leave a mark on the way generative AI reaches…
…you’ll collaborate directly with researchers training these models and with product teams defining new modalities of interaction. You'll build and optimize the…
…We scale the DNN models and training/inference frameworks to systems with hundreds of thousands of nodes. Optimizing communication performance: Identify and eliminate bottlenecks…
…familiar with efficient training, post-training, and inference techniques for large foundation models You can explain complex models and research findings to both technical…
…experience in an engineering leadership role. In-depth expertise in linear algebra and performance optimization of Deep Learning training and inference Background in parallel…
…Build, profile and optimize our training and inference framework Collaborate with ML teams to accelerate their research and development and enable them to develop…
…8+ years of hands-on validated ML/DL performance engineering experience with focus on improving GPU compute efficiency of training and inferencing workloads. Experience…
…Collaborate with researchers and engineers to integrate and optimize models for production and research use cases. Conduct architecture and design reviews to uphold best…
…Partner with Solutions Architecture, Research, and Engineering to design solutions/POCs and prove value across inference and post-training engagements. Inform product needs by…
…Architect production-level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with…
…We're looking for a passionate and talented Research Engineer to join our Al for Member Systems. In this role, you will apply your…
…world challenges, preferably with experience in post-training LLMs, including fine-tuning and distillation. Strong software engineering skills. Required: Python, TensorFlow, PyTorch Nice to…
…pre-training, domain-specific RL, ultra-long context, and inference-time compute to achieve this goal. ABOUT THE ROLE As a Software Engineer on…
…This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This…
…Implement and scale training and inference engineering frameworks. Report and present research findings and developments clearly and efficiently, to both other ML scientists and…
…quality training data for national LLMs Upskilling and advisory services to spread the impact of AI Scale is hiring ML Research Engineers to bridge…
…Construct the ML training infrastructure to enhance our AI researchers’ productivity, and inference systems to optimize the scalability and performance of our video GenAI…