326 to 350 of 424 PyTorch Jobs

of deployed edge computers). infrastructure management (we use Salt). monitoring (we use Grafana). video processing & streaming (we use Gstreamer). experience interfacing ML models (we use PyTorch). High Intrinsic motivation to success and ability to work hard. Computer Science Degree from a top ranked University. More ❯

of deployed edge computers). infrastructure management (we use Salt). monitoring (we use Grafana). video processing & streaming (we use Gstreamer). experience interfacing ML models (we use PyTorch). High Intrinsic motivation to success and ability to work hard. Computer Science Degree from a top ranked University. More ❯

Proficient in advanced methodologies like RAG and agent systems, keeping up to date with latest tech, papers, and understanding the theory behind advanced models. Expertise in frameworks such as PyTorch, TensorFlow, and Hugging Face. Strong understanding of the underlying mechanics of NLMs (transformers, RNNs, or LSTMs) and MLMs (e.g. BERT, RoBERTa, ALBERT). Proven experience with reinforcement learning and PPO More ❯

Proficient in advanced methodologies like RAG and agent systems, keeping up to date with latest tech, papers, and understanding the theory behind advanced models. Expertise in frameworks such as PyTorch, TensorFlow, and Hugging Face. Strong understanding of the underlying mechanics of NLMs (transformers, RNNs, or LSTMs) and MLMs (e.g. BERT, RoBERTa, ALBERT). Proven experience with reinforcement learning and PPO More ❯

Proficient in advanced methodologies like RAG and agent systems, keeping up to date with latest tech, papers, and understanding the theory behind advanced models. Expertise in frameworks such as PyTorch, TensorFlow, and Hugging Face. Strong understanding of the underlying mechanics of NLMs (transformers, RNNs, or LSTMs) and MLMs (e.g. BERT, RoBERTa, ALBERT). Proven experience with reinforcement learning and PPO More ❯

Proficient in advanced methodologies like RAG and agent systems, keeping up to date with latest tech, papers, and understanding the theory behind advanced models. Expertise in frameworks such as PyTorch, TensorFlow, and Hugging Face. Strong understanding of the underlying mechanics of NLMs (transformers, RNNs, or LSTMs) and MLMs (e.g. BERT, RoBERTa, ALBERT). Proven experience with reinforcement learning and PPO More ❯

Networks (CNN s) for machine vision and image analysis applications Experience with large-scale data sets Experience with open source machine learning platforms such as Keras/tensorflow or PyTorch Ability to develop using rapid prototyping techniques aimed at demonstrating applications quickly in a fast moving environment. Agile/DevOps Familiarity f SCRUM Familiarity f DevOps Continuous Integration/Continuous More ❯

Proficient in advanced methodologies like RAG and agent systems, keeping up to date with latest tech, papers, and understanding the theory behind advanced models. Expertise in frameworks such as PyTorch, TensorFlow, and Hugging Face. Strong understanding of the underlying mechanics of NLMs (transformers, RNNs, or LSTMs) and MLMs (e.g. BERT, RoBERTa, ALBERT). Proven experience with reinforcement learning and PPO More ❯

Networks (CNN's) for machine vision and image analysis applications Experience with large-scale data sets Experience with open source machine learning platforms such as Keras/tensorflow or PyTorch Ability to develop using rapid prototyping techniques aimed at demonstrating applications quickly in a fast moving environment. Agile/DevOps Familiarity f SCRUM Familiarity f DevOps Continuous Integration/Continuous More ❯

Networks (CNN’s) for machine vision and image analysis applications Experience with large-scale data sets Experience with open source machine learning platforms such as Keras/tensorflow or PyTorch Ability to develop using rapid prototyping techniques aimed at demonstrating applications quickly in a fast moving environment. Agile/DevOps Familiarity f SCRUM Familiarity f DevOps Continuous Integration/Continuous More ❯

object shape, appearance and movement. • Excellent team working abilities with positive, can-do attitude. • Examples of working with large spatio-temporal datasets. • Experience with Python and ML toolkits, e.g. PyTorch, Lightning, etc. Desirable Skills • Relevant conference, journal, or other peer-reviewed output. • Experience delivering the full ML development lifecycle, taking systems from research prototypes through to development and production within More ❯

the ability to communicate technical concepts to non-technical stakeholders. Experience with enterprise systems integration (legal or corporate environments a plus). Preferred: Knowledge of AI libraries (e.g. OpenAI, PyTorch), SQL/NoSQL databases, or Node.js/TypeScript for custom n8n nodes. Experience with Microsoft Power Platform or LangChain frameworks. Benefits £70k–£75k salary benefits. 25 days holiday (increasing with More ❯

comfortable explaining the intuition and assumptions behind ML concepts You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languagesExperience with TensorFlow or Pytorch You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your modelsYou preferably have experience with cloud platforms More ❯

we are looking for deep technical expertise. Creative thinkers who are driven, self-motivated, and eager to solve challenging problems Proficiency in Python and/or C++ Proficiency in Pytorch, JAX, Tensorflow or other DL library. Ability to thrive in a collaborative, team-oriented environment Expertise in GPU or Accelerator programming (CUDA, Triton, SYCL, ROCm or equivalent) Experience building ML More ❯

research and performance evaluation. Expertise in optimizing and evaluating ML models and/or privacy & security technologies for on-device performance. Experience with modern Machine Learning (ML) frameworks (e.g., Pytorch, TensorFlow, MLX, etc.). Skills That Will Set You Apart from the Competition ML Systems (pipelines, performance evaluation, etc.) Open source projects on mobile/desktop systems optimization Experience with More ❯

regulated industry. The Player You're fluent in generative AI, from prompt engineering to deploying production-ready LLMs. You bring cloud-savvy skills, mastery of tools like TensorFlow or PyTorch , and a sharp eye for AI trends and ethics. You're collaborative, curious, and ready to build intelligent systems that perform at scale. If you're passionate about innovation and More ❯

engineers pushing the boundaries You may be a good fit if you have: Strong software engineering skills Proficiency in Python and have some experience with ML-related code (e.g., pytorch, numpy, etc.) Experience with LLMs and agentic frameworks Experience with post-training LLMs (SFT, PEFT, or RL ) Experience with building synthetic data generation pipelines If some of the above doesn More ❯

benchmarking. Proficiency in Git and distributed version control systems. Desirable Skills Experience with open-source software maintenance, SDN, Kubernetes, and Docker. Hands-on testing of AI networking stacks (e.g., PyTorch, RDMA/RoCE, NCCL). Performance benchmarking and multi-node setup testing using traffic generators like IXIA. Accommodations at Arm At Arm, we want our people to Do Great Things. More ❯

participate in the upside of an ultra-growth venture. Have fun Apply if: You have experience with our stack: Python, FastAPI, Postgres, SQLAlchemy, Alembic, Typescript, React, LlamaIndex/LangChain, PyTorch, HuggingFace, OpenAI, Docker, Azure, You have taken entire products or features from ideation to deployment and you've measured their impact. You enjoy diving deep into the domain, understanding the More ❯

participate in the upside of an ultra-growth venture. Have fun Apply if: You have experience with our stack: Python, FastAPI, Postgres, SQLAlchemy, Alembic, Typescript, React, LlamaIndex/LangGraph, PyTorch, HuggingFace, OpenAI, Docker, Azure, You have taken entire products or features from ideation to deployment and you've measured their impact. You enjoy diving deep into the domain, understanding the More ❯

other architectures. Hands-on expertise in data plane networking software and debugging. Background in AI networking stacks, including: RDMA/RoCE, libFabric Collective communication libraries (OpenMPI, Gloo, OneCCL, NCCL) PyTorch-based inference/training applications Practical experience with open-source networking projects (e.g. DPDK, VPP). Understanding of L2-L7 networking, I/O performance, and cloud-native tech (Kubernetes More ❯

skills, with a proven track record of building robust and scalable systems. Have a strong command of Python and are well-versed in popular deep learning frameworks like JAX, PyTorch, and TensorFlow, with an understanding of their multimodal capabilities. Knowledge of distributed training strategies, especially for large-scale multimodal models. Familiarity with autoregressive models, particularly their application in multimodal tasks More ❯

SystemReady SR Compliance Program Experience with Security Development Lifecycle (SDL) practices. Experience with open-source software maintenance, SDN, Kubernetes, and Docker. Hands-on testing of AI networking stacks (e.g., PyTorch, RDMA/RoCE, NCCL). Performance benchmarking and multi-node setup testing using traffic generators like IXIA. In Return: You will have the opportunity to learn about the latest Arm More ❯

SystemReady SR Compliance Program Experience with Security Development Lifecycle (SDL) practices. Experience with open-source software maintenance, SDN, Kubernetes, and Docker. Hands-on testing of AI networking stacks (e.g., PyTorch, RDMA/RoCE, NCCL). Performance benchmarking and multi-node setup testing using traffic generators like IXIA. In Return: You will have the opportunity to learn about the latest Arm More ❯

Python and Bash A desire to have a positive impact both within our team and the wider Arm ecosystem Strong understanding of machine learning fundamentals and frameworks such as PyTorch and TensorFlow 'Nice to have' abilities and knowledge: Performance evaluation experience and knowledge of potential pitfalls Knowledge of hardware modelling concepts, including configuration and latency definition files Graphics programming experience More ❯