276 to 300 of 385 Permanent PyTorch Jobs

data visualization and data ingestion pipelines for training models. Experience with Large Language Models and notably Agents and Tools. Working knowledge of JAX/PyTorch or similar frameworks. About the Job At Google, research-focused Software Engineers are embedded throughout the company, allowing them to set up large-scale tests ...

debugging pipelines, and integrating ML systems into production while staying grounded in product impact and real-world quality. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow), and the ability to communicate clearly and align research with product and engineering priorities. Ability to lead complex research efforts ...

design and delivery at scale — including workload profiling, scheduler configuration (SLURM, PBS, or equivalent), MPI/NCCL tuning, and distributed training frameworks such as PyTorch, JAX, or DeepSpeed. Deep understanding of GPU software environments: CUDA, cuDNN, NCCL, driver stacks, and the tooling required to run large-scale AI training ...

training models, 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 ...

Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid ...

robotic applications, ensuring efficient control policy execution. Candidates should have a strong background in deep learning, experience with performance optimization, and robust Python and PyTorch skills. The role offers valuable benefits including generous leave, healthcare support, and a collaborative working environment. #J-18808-Ljbffr ...

ideal candidate will possess a Ph.D. and a strong background in classic machine learning as well as practical experience with Python frameworks like PyTorch and TensorFlow. This position offers a competitive salary and a blend of office and remote work. #J-18808-Ljbffr ...

/ML Engineer to build, evaluate, and deploy machine-learning systems. You will work with data preprocessing, model training, and deployment using technologies like PyTorch and TensorFlow. The role involves collaboration with key players in the UK AI landscape, focusing on projects for AI labs and fintechs. Ideal candidates will ...

systems and manage large-scale model training. Applicants should possess a PhD in Computer Science or equivalent experience, and have substantial knowledge in PyTorch and deep learning frameworks. This role contributes directly to safety-critical self-driving technologies for innovative vehicles. #J-18808-Ljbffr ...

learning. Responsibilities include training large-scale generative models, designing experiments, and enhancing user experiences with new features. Ideal candidates have a strong proficiency in PyTorch and experience building end-to-end machine learning pipelines. We offer competitive salary, opportunities for growth, and a collaborative research-driven environment. #J-18808-Ljbffr ...

ensure systems adhere to governance standards. This is a hands-on, technical position ideal for those with deep expertise in ML frameworks such as PyTorch and TensorFlow, as well as experience in deploying scalable architectures. #J-18808-Ljbffr ...

team and customer data. Applicants should have a strong degree in a relevant STEM field and practical experience in Python, ideally with frameworks like PyTorch or JAX. This position is in London and requires regular in-person work, with no visa sponsorship available. #J-18808-Ljbffr ...

best practice Your Skills & Experience Strong experience building and deploying machine learning systems at scale Expertise with Python and modern ML frameworks such as PyTorch or TensorFlow Experience with recommendation systems, LTV/churn modelling, attribution, or targeting models Strong understanding of MLOps, model lifecycle management, and production environments AdTech ...

will have significant ownership of technical solutions while collaborating closely with colleagues across the business Key Skills Strong commercial experience with Python and PyTorch Proven expertise in Computer Vision rather than general Machine Learning or LLMs Experience in developing and deploying production ready machine learning models Strong understanding ...

related field; [suggestion: 2+ years’ post-PhD or equivalent industry experience] Strong track record in novel ML research and evaluation Strong Python skills; PyTorch or equivalent, plus production-quality code Experience with Linux, Git and HPC/cloud platforms [suggestion: experience in scientific/simulation domains, and evidence of impact ...

relevant industry experience. Hands‐on experience with diffusion models (ideally avatar‐centric or video‐focused) and up to date with recent advances. Proficient in PyTorch and familiar with modern ML frameworks and tooling. Strong Python engineering skills, confident with git and version control, and a commitment to clean, maintainable research ...

high-impact ML work with minimal friction. Iterations on models and systems are measurable, safe, and improve user experience over time. Tech Stack Python PyTorch/JAX GPU-based training and inference system Ideal Experience You have built or shipped real ML systems used by people, not just demos. ...

high-impact ML work with minimal friction. Iterations on models and systems are measurable, safe, and improve user experience over time. Tech Stack Python PyTorch/JAX GPU-based training and inference system Ideal Experience You have built or shipped real ML systems used by people, not just demos. ...

debugging pipelines, and integrating ML systems into production while staying grounded in product impact and real‐world quality. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow), and the ability to communicate clearly and align research with product and engineering priorities. Ability to lead complex research efforts ...

deep learning models Practical experience with distributed or large-scale training and inference Deep understanding of at least one major deep learning framework (ideally PyTorch) Experience building and operating ML systems on cloud platforms Passion and determination Able to grind through complicated and ambiguous problems Delivery-oriented; respects timelines ...

systems they live inside. What we’re looking for High‐performance, large‐scale distributed systems experience, preferably for LLM workloads. Proficiency in Python and PyTorch or JAX. Hands‐on experience with large‐scale LLM training or inference technologies, e.g., SGLang, vLLM, verl, Megatron, OpenRLHF. Good taste: you know when ...

Development Control Theory (Classical or Modern) Guidance Algorithms Navigation Algorithms Data Fusion Tracking Machine Learning Software & Modelling Tools MATLAB Simulink Python C/C++ PyTorch OpenAI Gym/Universe Model-Based Design Toolsets Benefits Annual bonus scheme Generous pension contribution Overtime opportunities Additional flexible leave allowance Enhanced family-friendly policies ...

review work from other ML engineers through example and technical judgment. Work under real production constraints: latency, cost, reliability, and safety Tech Stack Python PyTorch/JAX GPU‐based training and inference systems Ideal Experience You have built and shipped ML systems used by real users. You understand how modern ...

making independent decisions, while also being able to collaborate effectively within a team,* Familiar with common machine learning and model acceleration frameworks (e.g. PyTorch, ONNX, ONNX Runtime)* Experienced with Python data and matrix manipulation libraries (e.g. numpy and pandas),* Knowledgeable about Python memory management and optimising GPU usage (beneficial ...

Linux. Hands-on with at least one BLAS/DNN stack and able to read/extend kernels. Experience integrating native code into PyTorch or similar (custom ops, extensions, dispatch keys). Comfort with CPU micro-optimisations and numerical stability/trade-offs across FP32/FP16/BF16. ...