• Senior Technical Marketing Engineer - AI…

    NVIDIA (Santa Clara, CA)
    …and ensure a consistent, high-impact go-to-market strategy. This role will focus on AI inference at scale , ensuring that customers and partners understand how to ... Doing: + Develop Technical Positioning & Messaging - Translate NVIDIA's AI inference and accelerated computing technologies into clear, impactful messaging that… more
    NVIDIA (11/06/25)
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  • Senior Software Development Engineer, AI/ML, AWS…

    Amazon (Seattle, WA)
    …and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The ... ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement...the art LLMs, Open source and internal LLM families, large scale performance and benchmark evaluations etc.,… more
    Amazon (01/06/26)
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  • Software Development Engineer - AI/ML, AWS Neuron,…

    Amazon (Seattle, WA)
    …and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The ... in debugging, profiling, and implementing best software engineering practices in large - scale systems. Preferred Qualifications - Familiarity with PyTorch, JIT… more
    Amazon (12/31/25)
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  • Lead Engineer, Inference Platform

    MongoDB (Palo Alto, CA)
    …particularly in multi-tenant environments + 1+ years of experience serving as TL for a large - scale ML inference or training platform SW project **Nice to ... embedding models. Together, we're building the infrastructure that enables real-time, high- scale , and low-latency inference - all deeply integrated into… more
    MongoDB (12/27/25)
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  • Biostatisticians

    University of Utah (Salt Lake City, UT)
    …harms, and costs of antihypertensive treatments. The lab uses both randomized trials and large - scale electronic health record ( EHR ) data to study outcomes such ... disease, dementia, and cancer. The lab applies advanced causal inference methods to address key challenges in real-world evidence...strong proficiency in R programming, experience managing and analyzing large - scale datasets (eg, EHR ), and a… more
    University of Utah (01/07/26)
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  • Staff Software Engineer, ML Serving Platform

    DoorDash (San Francisco, CA)
    …GPT-OSS or BERT. + Hands-on experience with Kubernetes/EKS, microservice architectures, and large - scale orchestration for inference workloads. + Cloud ... model serving to drive the next generation of our inference platform. This is a highly technical, hands-on role:...8+ years of engineering experience, including building or operating large - scale , high-QPS ML serving systems. + Bring… more
    DoorDash (11/24/25)
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  • Member of Technical Staff

    Microsoft Corporation (Redmond, WA)
    …or real-world deployments. + Extensive experience with foundation models, including large - scale training, model inference , reinforcement learning, reasoning ... both OpenAI and open-source models. Their work encompasses continual pre-training, large - scale deep reinforcement learning running on extensive GPU resources,… more
    Microsoft Corporation (12/19/25)
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  • Software Engineer, ML Infrastructure, Level 4

    Snap Inc. (Bellevue, WA)
    …development experience; or PhD in a relevant technical field + Experience building large scale production machine learning systems, distributed systems or big ... efficiency + Good understanding of distributed systems and the infrastructure components of large - scale ML + Experience with big data processing frameworks such… more
    Snap Inc. (01/09/26)
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  • Software Engineer, AI Platform

    LinkedIn (Mountain View, CA)
    …training, feature engineering and serving with hundreds of billions of parameters models and large scale feature engineering infra for all AI use cases from ... infra on top of native cloud, enable GPU based inference for a large variety of use...DeepSpeed, Hugginface, PyTorch Lightning, LLMs, GNNs, MLFlow, Kubeflow and large scale distributed systems + Familiarity with… more
    LinkedIn (10/21/25)
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  • Senior Staff Software Engineer, Experimentation…

    DoorDash (San Francisco, CA)
    …platform and Adaptive Learning platform (RL/MAB) + Expand the statistical and causal inference algorithms to support large - scale experimentation volume and ... methodologies, machine learning and artificial intelligence technologies and advanced causal inference and data mining techniques + Drive the statistical and ML… more
    DoorDash (12/01/25)
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  • Applied Researcher I (AI Foundations, LLM Core…

    Capital One (San Jose, CA)
    …Worked on scaling graph models to greater than 50m nodes + Experience with large scale deep learning based recommender systems + Experience with production ... of the foundations of AI methodologies._ + Experience building large deep learning models, whether on language, images, events,...scale both in terms of training data and inference volumes. + Experience in delivering libraries, platform level… more
    Capital One (01/08/26)
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  • Applied Researcher II (AI Foundations)

    Capital One (San Jose, CA)
    …Worked on scaling graph models to greater than 50m nodes + Experience with large scale deep learning based recommender systems + Experience with production ... of the foundations of AI methodologies. + Experience building large deep learning models, whether on language, images, events,...scale both in terms of training data and inference volumes. + Experience in delivering libraries, platform level… more
    Capital One (11/04/25)
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  • Summer Intern - Biology Research | AI Development

    Genentech (South San Francisco, CA)
    …focus is on developing foundation models-general-purpose AI models trained on large - scale biological datasets-which we fine-tune for specialized applications. ... of multi-modal biological data** to improve target assessment. + ** Inference of cellular communication** using spatial transcriptomics and proteomics. +… more
    Genentech (01/10/26)
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  • Summer Intern - Computational Sciences Center…

    Genentech (South San Francisco, CA)
    …a deep understanding of hardware features and performance characteristics to optimize large - scale AI and scientific computing workloads. + Support benchmarking ... engineers to accelerate AI-driven discovery by improving training and inference efficiency. **Key Responsibilities:** + Assist in optimizing GPU-accelerated… more
    Genentech (01/07/26)
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  • Principal Applied Scientist, Delivery Foundation…

    Amazon (New York, NY)
    …- Track record of successful production ML deployments - Experience with large - scale distributed environments for ML training and inference - History of ... vast amounts of Amazon data and infer at Amazon scale , taking advantage of latest developments in hardware and...and reusable infra to support model training, evaluation, and inference - Lead focused technical initiatives from conception through… more
    Amazon (12/24/25)
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  • Senior Applied Scientist, Delivery Foundation…

    Amazon (Bellevue, WA)
    …- Track record of successful production ML deployments - Experience with large - scale distributed environments for ML training and inference - History of ... vast amounts of Amazon data and infer at Amazon scale , taking advantage of latest developments in hardware and...and reusable infra to support model training, evaluation, and inference - Lead focused technical initiatives from conception through… more
    Amazon (10/16/25)
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  • Principal AI Engineer, Enterprise AI Platform

    Palo Alto Networks (Santa Clara, CA)
    …Design & Optimization: Contribute significantly to the detailed design of large - scale , distributed AI/ML systems, ensuring performance, reliability, security, ... scalability, efficiency, and maintainability, ensuring the platform's ability to handle massive scale data and inference requests, optimizing for low latency and… more
    Palo Alto Networks (12/17/25)
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  • Applied Science- Data Science Intern, PhD - Summer…

    LinkedIn (Mountain View, CA)
    …2026 + June 15th, 2026 - September 4th, 2026 Responsibilities + Analyze large - scale structured and unstructured data to gain actionable insights, identify ... real-world problems through cutting-edge applied research, focusing on experimentation, causal inference , and machine learning. You will have the opportunity to… more
    LinkedIn (12/16/25)
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  • Research Senior Scientist AI/ML Foundational…

    Takeda Pharmaceuticals (Boston, MA)
    …discovery across Takeda. As part of the AI/ML Foundation team, you will build large - scale models including large language models (LLMs), diffusion models, ... architectures) for drug discovery applications, with capability to pre-train on large - scale scientific corpora and molecular datasets. + Fine-tune and… more
    Takeda Pharmaceuticals (01/08/26)
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  • Sr Distinguished Applied Researcher (World Models)

    Capital One (San Jose, CA)
    …+ Worked on scaling graph models to greater than 50m nodes Experience with large scale deep learning based recommender systems + Experience with production ... of the foundations of AI methodologies. + Experience building large deep learning models, whether on language, images, events,...scale both in terms of training data and inference volumes. + Experience in delivering libraries, platform level… more
    Capital One (11/04/25)
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