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Build and optimize framework support (Triton, PyTorch) for Graphcore's AI accelerators, working across a complex ML software stack using Python and C++.
Develop and optimize software frameworks like Triton and PyTorch to enhance Graphcore's AI hardware performance and usability for ML workloads.
An internship for penultimate/final-year students to support fintech infrastructure/cloud engineering, optimizing trading systems and cloud platforms for performance, scalability, and automation.
Build and optimize large-scale ML training and inference pipelines for low-latency trading systems using Python, CUDA, PyTorch/TensorFlow, and GPU acceleration.
Research and deploy ML models to generate trading signals and optimize portfolios, collaborating with quants and engineers using Python and PyTorch/TensorFlow.
Research and implement ML models for global trading strategies, deploying solutions in equities, futures, and options markets using Python and frameworks like PyTorch.
Research intern designing ML models to analyze market data and inform trading strategies in equities, futures, and options.
Machine Learning Research Intern developing and applying ML algorithms and predictive models to large-scale datasets for global trading strategies, using Python, PyTorch, TensorFlow, or JAX.
Designs and sells high-performance GPU and HPC cloud solutions for AI workloads, translating customer needs into feasible architectures while collaborating with engineering teams.
Designs and scales machine learning infrastructure to evaluate autonomous vehicle driving behaviors, focusing on large-scale model training and distributed systems for Waymo’s fleet.
Build and improve production ML components across data pipelines, training, evaluation, and inference using Python, PyTorch/JAX on GPUs.
Design and train reinforcement learning policies for robot movement and control, then deploy them on physical hardware while iterating based on real-world performance.
The AI Infrastructure Engineer will design and operate the platform layer for large-scale AI training and inference, focusing on GPU clusters, distributed frameworks, and developer tooling. The role requires extensive experience with high-performance computing, cloud infrastructure, and ML frameworks like PyTorch and Ray.
GPU 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 Machine Learning Research Engineer bridges applied research and production engineering by designing and deploying advanced machine learning systems. The role requires expertise in Python, PyTorch or JAX, and deep learning to solve business problems across natural language, vision, and recommendation domains.
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.
The Research Machine Learning Scientist II will research and develop deep learning techniques to solve real-world banking problems, collaborating with engineering teams to deploy models into production. The role requires a strong background in ML/DL and experience with frameworks like PyTorch, TensorFlow, or JAX.
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.
Oracle Hardware Platform Development Engineering is seeking a highly driven AI Systems Engineer to evaluate and characterize next-generation GPU and AI accelerator platforms for Oracle Cloud Infrastructure (OCI). This…
A lead management and program analyst at a Navy installation in Jacksonville, distributing team assignments, conducting requirements and business case analysis, providing training, and supporting strategic planning functions.
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