18 of 18 Remote/Hybrid Google JAX Jobs

Senior) or 8+ years (Staff) of hands‐on applied ML experience, including production‐grade work. Deep familiarity with modern deep learning stack (PyTorch or JAX), and breadth across at least two of: generative models (diffusion, autoregressive, flow‐based), graph and equivariant networks, vision (CNNs, ViTs, multimodal LLMs), search ...

track record of building and maintaining production‐quality systems. Expert‐level Python experience with numerical, statistical, or ML libraries (e.g. NumPy, pandas, PyTorch, JAX, TensorFlow). Deep understanding of statistical modelling, optimisation, or machine‐learning techniques. Experience building and operating backend systems and data pipelines in a cloud environment ...

equivalent practical experience. Strong Python programming and software‐engineering skills. Experience developing machine‐learning, generative AI or LLM applications. Practical experience with PyTorch, JAX, TensorFlow or a similar framework. Understanding of agentic AI concepts such as tool calling, planning, memory and workflow orchestration. Knowledge of reinforcement learning, preference optimisation ...

strong programming skills in Python , Rust, or similar; and strong software engineering fundamentals building performant and reliable systems. Proficient in deep learning frameworks (Pytorch, JAX, TensorFlow). You can work on different layers of the stack from low-level training backends, data ingestion to ML/RL algorithmic design ...

creative teams to turn ML capabilities into compelling experiences What We're Looking For: Strong knowledge of Python Experience writing models in PyTorch or JAX A good understanding of how large language models work Comfortable working along the whole ML pipeline: from data preparation to model design, training ...

systems (bonus for low-resource languages). Deep knowledge of at least one neural TTS architecture and related vocoders. Proficiency with PyTorch, TensorFlow, or JAX for building and training models. Experience with audio processing tools (e.g., librosa, Praat, torchaudio). Linguistic & Cultural Sensitivity Experience working with multilingual ...

related field. Research experience in at least one of: probabilistic machine learning, diffusion/flow‐based models. Proficiency in modern ML toolchains (e.g., PyTorch, JAX) and reproducible research practices. A track record of high‐quality publications, e.g. at ICML, NeurIPS, ICLR, AISTATS, ACL, EMNLP, CVPR, JMLR, Machine Learning ...

running experiments, and debugging pipelines, and who can carry research results through to production with engineering. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow). Ability to communicate clearly, collaborate across teams, and align research work with product and engineering priorities. Nice to have Experience quantifying ...

research direction with strong execution, and experience mentoring others on a fast‐moving, applied research team. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow), and the ability to communicate clearly and align research with product and engineering priorities. Nice to have Demonstrated experience fine‐tuning ...

C++ or Java A strong background in the mathematical foundations of core ML algorithms, paired with hands‐on experience using deep learning frameworks (PyTorch, JAX, TensorFlow), agentic orchestration ecosystems (LangGraph, Google ADK), and Model Context Protocol tooling (RustMCP) Strong written and verbal communication skills to document your work ...

from data to UI. Applicants should have strong quantitative skills and experience in Python/SQL/TypeScript and PyData stack, plus PyTorch/JAX/TF for model development. #J-18808-Ljbffr ...

relevant discipline. Publications in top‐tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR). Familiarity with a deep learning framework (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 … infrastructure engineering skills with supporting evidence. Experience training large‐scale models over distributed nodes with cloud tools such as Amazon AWS, MS Azure, or Google Cloud. Benefits Learning and development: On‐the‐job coaching, mentorship and learning from a world‐leading researcher as well as the opportunity to work ...

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, ...) Experience in ML Research beyond completing a PhD (e.g. supervision, industry experience, leading academic initiatives, ...). Excellent communication skills to report … source libraries or writing production code. Experience training large‐scale models over distributed nodes with cloud tools such as Amazon AWS, MS Azure, 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 ...

About this role AI Labs Overview For more than three decades, BlackRock has combined world-class talent and technology to redefinewhat’spossible in asset management. Today, AI is reshaping every aspect of our industry, from ...

hackajob is partnering directly with BlackRock to hire for this role. About this role AI Labs Overview For more than three decades, BlackRock has combined world-class talent and technology to redefinewhat'spossible in asset ...

hackajob is partnering directly with BlackRock to hire for this role. About this role AI Labs Overview For more than three decades, BlackRock has combined world-class talent and technology to redefine what's possible ...

ensuring models stay honest against field conditions and remain deployable in real-time systems. Experience with time-series or biosignals ML using PyTorch or JAX is highly valued, with hybrid work across Manchester and Los Angeles. #J-18808-Ljbffr ...

design and scale infrastructure that powers the future of AI-driven engineering? Apply now. Responsibilities Design and scale training environments using PyTorch Distributed, JAX, or NVIDIA NeMo across multi-node/multi-GPU clusters. Manage a mixed-compute strategy spanning public clouds (AWS/Azure) and sovereign industrial clouds … that validates physical consistency laws. Skills/Must have Orchestration: Expert-level Kubernetes (AKS/EKS) is essential. ML Frameworks: Strong proficiency in PyTorch, JAX, or NVIDIA NeMo. HPC/Data: Solid experience with Python, Go, and distributed data tools (Dask/Spark). Background: Experience in AI research ...