26 to 33 of 33 Remote Google JAX Jobs

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 … writing production code. Experience training large-scale models over distributed nodes with cloud tools and providers such as Amazon AWS, Microsoft 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 ...

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 ...

EMNLP, NAACL, ICLR) ) with specific focus on training data curation, synthetic data generation, etc.* 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 ...

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 ...

systems stack.Build robust systems that ensure reproducible, debuggable, large-scale runs.Qualifications:Strong engineering experience in large-scale distributed training or HPC systems.Deep familiarity with JAX internals, distributed training libraries, or custom kernels/fused ops.Experience with multi-node cluster orchestration (Slurm, Ray, Kubernetes, or similar).Comfort debugging performance issues … following would also be good to have for this role:Experience with training LLMs or other large transformer architectures.Contributions to ML frameworks (PyTorch, JAX, DeepSpeed, Megatron, xFormers, etc.).Familiarity with evaluation and serving frameworks (vLLM, TensorRT-LLM, custom KV caches).Experience with data pipeline optimization, sharded datasets, or caching ...