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PhD intern on Netflix's AI Platform team building large-scale ML/AI infrastructure—training platforms, GPU-optimized inference, and serving systems—at the intersection of systems and machine learning.
Machine Learning/AI Scientist PhD Intern at Netflix working on ML research including personalization algorithms, recommender systems, NLP, computer vision, and other ML areas using frameworks like PyTorch and TensorFlow.
Job Details: Job Description: This is a high-visibility, commissioned sales leadership role within Intel's US Sales organization, specifically focused on our most disruptive AI-Native and Strategic CSP accounts.…
This role focuses on driving the go-to-market strategy for AWS generative AI services, helping customers scale large-scale model training and inference workloads. The position involves cross-functional collaboration to define product features, create technical content, and lead market development initiatives.
This role involves developing and optimizing distributed training solutions for large-scale machine learning models on AWS Trainium and Inferentia hardware. You will work with PyTorch, JAX, and the Neuron compiler stack to maximize performance for models like LLMs and Vision Transformers.
Leads cross-functional teams to deliver Apple's advanced AI foundation models, coordinating data pipelines, distributed training, and privacy-focused on-device inference for consumer products.
Build and scale AI research infrastructure for frontier AI labs, designing ML models (LLMs, diffusion models) and optimizing scalable experimentation pipelines from scratch.
Design and maintain high-performance storage infrastructure for Bitdeer's AI-native NeoCloud, including Kubernetes CSI drivers, GPUDirect Storage, NVMe caching, and parallel file systems to keep GPUs saturated with data.
Builds and optimizes ML infrastructure for training and inference of warehouse robots, focusing on GPU clusters, distributed systems, and low-latency pipelines.
Build and scale the compute, scheduling, and data infrastructure that powers post-training research on in-house reinforcement learning environments for large language models.
Senior ML Engineer owning the full production ML lifecycle—training, evaluation, deployment, serving, and monitoring—working on distributed training, GPU infrastructure, and game simulation within a hybrid role in Los Angeles.
Lead the architecture and evolution of Samsara's end-to-end ML platform, spanning training, experimentation, inference, and edge deployment across 2M+ devices, driving safety outcomes for industries like transportation and manufacturing.
The Senior ML Infrastructure Engineer will design and scale high-performance GPU training platforms and optimize distributed ML pipelines. The role focuses on improving developer experience for ML researchers using technologies like PyTorch and Kubernetes.
The Software Golang Engineer will design and implement cloud-native AI inference and model training products optimized for Kubernetes. The role involves writing Go code for controllers and operators, building APIs and developer tools, and optimizing GPU-based workloads.
About World Labs World Labs is a frontier AI research and product company advancing spatial intelligence, the next frontier beyond large language models. Co-founded by Dr. Fei-Fei Li, Justin Johnson and Ben Mildenhall,…
The Lead Machine Learning Engineer will build and maintain distributed training pipelines, model monitoring systems, and ML frameworks to support digital banking services. The role focuses on scaling machine learning workflows using technologies like Python, PyTorch, TensorFlow, Ray, and Spark.
AI Systems Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic…
The opportunity Want to make a real difference in the mobile industry? Join Unity Aura's cutting-edge data science team as a Senior Data Scientist and be part of the team that personalizes experiences for over 400…
The Opportunity: Federal Sherpa is uniquely positioned to support the United States Army's Mission Command Training Program (MCTP) at Fort Leavenworth, KS by delivering strategic program and project management…
Build and deploy ML models to extract rare, critical driving scenarios from petabytes of sensor data for autonomous vehicle development using PyTorch, multimodal learning, and data mining pipelines.
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