1 to 25 of 86 Google JAX Jobs

Explainable AI (XAI) SHAP/LIME interpretation, fairness flagging Data Storytelling Generating readable summaries from charts or model outputs Tools TensorFlow/PyTorch/JAX/HuggingFace We offer a pay range of $25-to- $100 per hour, with the exact rate determined after evaluating your experience, expertise ...

Team The Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love – Pytorch, Triton and in future, Jax and TensorFlow. We’re a talented and diverse team of engineers and we foster a culture of collaboration, openness and learning. All our software teams ...

software and research teams Requirements Strong background in machine learning algorithm development and optimisation Proficiency in Python and modern ML frameworks such as PyTorch, JAX or TensorFlow Experience with data modelling, preprocessing and performance benchmarking. Understanding of ML evaluation metrics and model analysis methods. Excellent communication skills and collaborative ...

spectral methods, applied maths). Comfortable running structured experiments with multiple LLMs (Qwen models especially welcome). Proficiency in Python (NumPy, SciPy, PyTorch/JAX optional but beneficial). Curiosity to explore new algorithmic directions and question assumptions. Desire to work on first-principles problems with real applied impact. ...

preprocessing, and streaming. Implement infrastructure-as-code, observability, CI/CD, and scalable deployment practices. Enable fast experimentation for diffusion transformer training (PyTorch/JAX, DDP, mixed precision, distributed compute). Design and scale our GPU training cluster Work directly with the founding team to set technical direction ...

engineers to ship fast in an environment that iterates constantly What they’re looking for Strong Python engineering background Experience with frameworks like PyTorch, JAX or TensorFlow Demonstrated ability to scale ML workflows in real-world settings (cloud, GPU clusters, distributed training) Comfortable with MLOps tooling ...

NAACL, ICLR) with specific focus on agent systems, tool use, or multi-agent coordination Familiarity with one or more deep learning frameworks (e.g. pytorch, jax, tensorflow, ...) Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable … writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, MS Azure, LambdaLabs or Google Cloud. You Will Enjoy Learning and development: On-the-job coaching and learning as well as the opportunity to work with cutting-edge methods ...

Doing Implement deep learning models from multiple data domains (CV, NLP/LLMs, ASR, TTS, RecSys and others) in multiple DL frameworks (PyT, JAX, TF2, DGL and others) Implement and test new SW features (Graph Compilation, reduced precision training) that use the most recent HW functionalities. Analyze, profile … degree in Computer Science, Computer Architecture or related technical field. Excellent Python programming skills. Extensive knowledge of at least one DL Framework (PyTorch, TensorFlow, JAX, MxNet) with practical experience in PyTorch required. Strong problem solving and analytical skills. Algorithms and DL fundamentals. Docker containerization fundamentals. Ways To Stand ...

Doing Implement deep learning models from multiple data domains (CV, NLP/LLMs, ASR, TTS, RecSys and others) in multiple DL frameworks (PyT, JAX, TF2, DGL and others) Implement and test new SW features (Graph Compilation, reduced precision training) that use the most recent HW functionalities. Analyze, profile … degree in Computer Science, Computer Architecture or related technical field. Excellent Python programming skills. Extensive knowledge of at least one DL Framework (PyTorch, TensorFlow, JAX, MxNet) with practical experience in PyTorch required. Strong problem solving and analytical skills. Algorithms and DL fundamentals. Docker containerization fundamentals. Ways To Stand ...

Doing Implement deep learning models from multiple data domains (CV, NLP/LLMs, ASR, TTS, RecSys and others) in multiple DL frameworks (PyT, JAX, TF2, DGL and others) Implement and test new SW features (Graph Compilation, reduced precision training) that use the most recent HW functionalities. Analyze, profile … degree in Computer Science, Computer Architecture or related technical field. Excellent Python programming skills. Extensive knowledge of at least one DL Framework (PyTorch, TensorFlow, JAX, MxNet) with practical experience in PyTorch required. Strong problem solving and analytical skills. Algorithms and DL fundamentals. Docker containerization fundamentals. Ways To Stand ...

Doing Implement deep learning models from multiple data domains (CV, NLP/LLMs, ASR, TTS, RecSys and others) in multiple DL frameworks (PyT, JAX, TF2, DGL and others) Implement and test new SW features (Graph Compilation, reduced precision training) that use the most recent HW functionalities. Analyze, profile … degree in Computer Science, Computer Architecture or related technical field. Excellent Python programming skills. Extensive knowledge of at least one DL Framework (PyTorch, TensorFlow, JAX, MxNet) with practical experience in PyTorch required. Strong problem solving and analytical skills. Algorithms and DL fundamentals. Docker containerization fundamentals. Ways To Stand ...

Doing Implement deep learning models from multiple data domains (CV, NLP/LLMs, ASR, TTS, RecSys and others) in multiple DL frameworks (PyT, JAX, TF2, DGL and others) Implement and test new SW features (Graph Compilation, reduced precision training) that use the most recent HW functionalities. Analyze, profile … degree in Computer Science, Computer Architecture or related technical field. Excellent Python programming skills. Extensive knowledge of at least one DL Framework (PyTorch, TensorFlow, JAX, MxNet) with practical experience in PyTorch required. Strong problem solving and analytical skills. Algorithms and DL fundamentals. Docker containerization fundamentals. Ways To Stand ...

Doing Implement deep learning models from multiple data domains (CV, NLP/LLMs, ASR, TTS, RecSys and others) in multiple DL frameworks (PyT, JAX, TF2, DGL and others) Implement and test new SW features (Graph Compilation, reduced precision training) that use the most recent HW functionalities. Analyze, profile … degree in Computer Science, Computer Architecture or related technical field. Excellent Python programming skills. Extensive knowledge of at least one DL Framework (PyTorch, TensorFlow, JAX, MxNet) with practical experience in PyTorch required. Strong problem solving and analytical skills. Algorithms and DL fundamentals. Docker containerization fundamentals. Ways To Stand ...

Doing Implement deep learning models from multiple data domains (CV, NLP/LLMs, ASR, TTS, RecSys and others) in multiple DL frameworks (PyT, JAX, TF2, DGL and others) Implement and test new SW features (Graph Compilation, reduced precision training) that use the most recent HW functionalities. Analyze, profile … degree in Computer Science, Computer Architecture or related technical field. Excellent Python programming skills. Extensive knowledge of at least one DL Framework (PyTorch, TensorFlow, JAX, MxNet) with practical experience in PyTorch required. Strong problem solving and analytical skills. Algorithms and DL fundamentals. Docker containerization fundamentals. Ways To Stand ...

Doing Implement deep learning models from multiple data domains (CV, NLP/LLMs, ASR, TTS, RecSys and others) in multiple DL frameworks (PyT, JAX, TF2, DGL and others) Implement and test new SW features (Graph Compilation, reduced precision training) that use the most recent HW functionalities. Analyze, profile … degree in Computer Science, Computer Architecture or related technical field. Excellent Python programming skills. Extensive knowledge of at least one DL Framework (PyTorch, TensorFlow, JAX, MxNet) with practical experience in PyTorch required. Strong problem solving and analytical skills. Algorithms and DL fundamentals. Docker containerization fundamentals. Ways To Stand ...

Doing Implement deep learning models from multiple data domains (CV, NLP/LLMs, ASR, TTS, RecSys and others) in multiple DL frameworks (PyT, JAX, TF2, DGL and others) Implement and test new SW features (Graph Compilation, reduced precision training) that use the most recent HW functionalities. Analyze, profile … degree in Computer Science, Computer Architecture or related technical field. Excellent Python programming skills. Extensive knowledge of at least one DL Framework (PyTorch, TensorFlow, JAX, MxNet) with practical experience in PyTorch required. Strong problem solving and analytical skills. Algorithms and DL fundamentals. Docker containerization fundamentals. Ways To Stand ...

Doing Implement deep learning models from multiple data domains (CV, NLP/LLMs, ASR, TTS, RecSys and others) in multiple DL frameworks (PyT, JAX, TF2, DGL and others) Implement and test new SW features (Graph Compilation, reduced precision training) that use the most recent HW functionalities. Analyze, profile … degree in Computer Science, Computer Architecture or related technical field. Excellent Python programming skills. Extensive knowledge of at least one DL Framework (PyTorch, TensorFlow, JAX, MxNet) with practical experience in PyTorch required. Strong problem solving and analytical skills. Algorithms and DL fundamentals. Docker containerization fundamentals. Ways To Stand ...

Doing Implement deep learning models from multiple data domains (CV, NLP/LLMs, ASR, TTS, RecSys and others) in multiple DL frameworks (PyT, JAX, TF2, DGL and others) Implement and test new SW features (Graph Compilation, reduced precision training) that use the most recent HW functionalities. Analyze, profile … degree in Computer Science, Computer Architecture or related technical field. Excellent Python programming skills. Extensive knowledge of at least one DL Framework (PyTorch, TensorFlow, JAX, MxNet) with practical experience in PyTorch required. Strong problem solving and analytical skills. Algorithms and DL fundamentals. Docker containerization fundamentals. Ways To Stand ...

Doing Implement deep learning models from multiple data domains (CV, NLP/LLMs, ASR, TTS, RecSys and others) in multiple DL frameworks (PyT, JAX, TF2, DGL and others) Implement and test new SW features (Graph Compilation, reduced precision training) that use the most recent HW functionalities. Analyze, profile … degree in Computer Science, Computer Architecture or related technical field. Excellent Python programming skills. Extensive knowledge of at least one DL Framework (PyTorch, TensorFlow, JAX, MxNet) with practical experience in PyTorch required. Strong problem solving and analytical skills. Algorithms and DL fundamentals. Docker containerization fundamentals. Ways To Stand ...

Doing Implement deep learning models from multiple data domains (CV, NLP/LLMs, ASR, TTS, RecSys and others) in multiple DL frameworks (PyT, JAX, TF2, DGL and others) Implement and test new SW features (Graph Compilation, reduced precision training) that use the most recent HW functionalities. Analyze, profile … degree in Computer Science, Computer Architecture or related technical field. Excellent Python programming skills. Extensive knowledge of at least one DL Framework (PyTorch, TensorFlow, JAX, MxNet) with practical experience in PyTorch required. Strong problem solving and analytical skills. Algorithms and DL fundamentals. Docker containerization fundamentals. Ways To Stand ...

Doing Implement deep learning models from multiple data domains (CV, NLP/LLMs, ASR, TTS, RecSys and others) in multiple DL frameworks (PyT, JAX, TF2, DGL and others) Implement and test new SW features (Graph Compilation, reduced precision training) that use the most recent HW functionalities. Analyze, profile … degree in Computer Science, Computer Architecture or related technical field. Excellent Python programming skills. Extensive knowledge of at least one DL Framework (PyTorch, TensorFlow, JAX, MxNet) with practical experience in PyTorch required. Strong problem solving and analytical skills. Algorithms and DL fundamentals. Docker containerization fundamentals. Ways To Stand ...

Doing Implement deep learning models from multiple data domains (CV, NLP/LLMs, ASR, TTS, RecSys and others) in multiple DL frameworks (PyT, JAX, TF2, DGL and others) Implement and test new SW features (Graph Compilation, reduced precision training) that use the most recent HW functionalities. Analyze, profile … degree in Computer Science, Computer Architecture or related technical field. Excellent Python programming skills. Extensive knowledge of at least one DL Framework (PyTorch, TensorFlow, JAX, MxNet) with practical experience in PyTorch required. Strong problem solving and analytical skills. Algorithms and DL fundamentals. Docker containerization fundamentals. Ways To Stand ...

Doing Implement deep learning models from multiple data domains (CV, NLP/LLMs, ASR, TTS, RecSys and others) in multiple DL frameworks (PyT, JAX, TF2, DGL and others) Implement and test new SW features (Graph Compilation, reduced precision training) that use the most recent HW functionalities. Analyze, profile … degree in Computer Science, Computer Architecture or related technical field. Excellent Python programming skills. Extensive knowledge of at least one DL Framework (PyTorch, TensorFlow, JAX, MxNet) with practical experience in PyTorch required. Strong problem solving and analytical skills. Algorithms and DL fundamentals. Docker containerization fundamentals. Ways To Stand ...

Doing Implement deep learning models from multiple data domains (CV, NLP/LLMs, ASR, TTS, RecSys and others) in multiple DL frameworks (PyT, JAX, TF2, DGL and others) Implement and test new SW features (Graph Compilation, reduced precision training) that use the most recent HW functionalities. Analyze, profile … degree in Computer Science, Computer Architecture or related technical field. Excellent Python programming skills. Extensive knowledge of at least one DL Framework (PyTorch, TensorFlow, JAX, MxNet) with practical experience in PyTorch required. Strong problem solving and analytical skills. Algorithms and DL fundamentals. Docker containerization fundamentals. Ways To Stand ...

Doing Implement deep learning models from multiple data domains (CV, NLP/LLMs, ASR, TTS, RecSys and others) in multiple DL frameworks (PyT, JAX, TF2, DGL and others) Implement and test new SW features (Graph Compilation, reduced precision training) that use the most recent HW functionalities. Analyze, profile … degree in Computer Science, Computer Architecture or related technical field. Excellent Python programming skills. Extensive knowledge of at least one DL Framework (PyTorch, TensorFlow, JAX, MxNet) with practical experience in PyTorch required. Strong problem solving and analytical skills. Algorithms and DL fundamentals. Docker containerization fundamentals. Ways To Stand ...