Browse DevOps & SRE Jobs
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30 jobs found for "PyTorch"
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ML Systems Engineer - Model Training and Infrastructure (SWE-focused LLMs) New
…narrow research role and it is not traditional MLOps. You’ll move between custom PyTorch code, distributed data pipelines, Dockerised services, RL environments, evaluation infrastructure and production-quality software. ___________________________________________________________________________ What … learning loops in which models write code, run tests and use development tools. Develop custom PyTorch dataloaders, training objectives and evaluation workflows. Run and analyse fine-tuning and RL experiments across large…
Senior Applied Research Engineer - Video New
…looking for Must-have Strong experience training deep learning models at scale Strong Python and PyTorch skills Hands-on experience with diffusion models (image domain required; video preferred) Experience with large scale … models Experience with GANs or VAEs Experience optimizing inference systems for production Our stack Python, PyTorch, CUDA DeepSpeed, distributed training & inference Sequence parallelism AWS, SLURM, Docker GitHub, CI/CD pipelines…
Senior Python Engineer
…modeling/finance insights. IV. Artificial Intelligence (AI) Integration (Exposure): Exposure to AI/ML tools and frameworks (TensorFlow, PyTorch, scikit-learn). Practical experience with AI tools (Copilot, Devin, Claude/Gemini/GPT) for development workflows. Experience with Agentic … Focus Areas / Desirable Skills Foundational Models: Gemini, OpenAI, Claude, Llama, Local Models Machine Learning: PyTorch, TensorFlow, Fine-tuning Frameworks: LangChain, LlamaIndex, Hugging Face Retrieval Augmented Generation: PostgreSQL, Vector DBs, Advanced Retrieval Orchestration…
Copy of Research Scientist / Engineer – Training Infrastructure
…researchers can focus on innovation on top of reliable, efficient, scalable infrastructure. This is hard PyTorch, CUDA, and distributed-systems work — advanced parallelism, training stability, and utilization across massive clusters. It fits … monitoring and tooling that keeps large runs reliable and efficient. What You Bring Extensive distributed PyTorch training and parallelisms in foundation-model training. Deep understanding of GPU clusters, networking, and storage systems…
Senior Applied Research Engineer - Video
…looking for Must-have Strong experience training deep learning models at scale Strong Python and PyTorch skills Hands-on experience with diffusion models (image domain required; video preferred) Experience with large scale … models Experience with GANs or VAEs Experience optimizing inference systems for production Our stack Python, PyTorch, CUDA DeepSpeed, distributed training & inference Sequence parallelism AWS, SLURM, Docker GitHub, CI/CD pipelines…
Lead Python Engineer-Senior Vice President
…modeling/finance insights. IV. Artificial Intelligence (AI) Integration (Exposure): Exposure to AI/ML tools and frameworks (TensorFlow, PyTorch, scikit-learn). Practical experience with AI tools (Copilot, Devin, Claude/Gemini/GPT) for development workflows. Experience with Agentic … Focus Areas / Desirable Skills Foundational Models: Gemini, OpenAI, Claude, Llama, Local Models Machine Learning: PyTorch, TensorFlow, Fine-tuning Frameworks: LangChain, LlamaIndex, Hugging Face Retrieval Augmented Generation: PostgreSQL, Vector DBs, Advanced Retrieval Orchestration…
Senior Python Engineer
…modeling/finance insights. IV. Artificial Intelligence (AI) Integration (Exposure): Exposure to AI/ML tools and frameworks (TensorFlow, PyTorch, scikit-learn). Practical experience with AI tools (Copilot, Devin, Claude/Gemini/GPT) for development workflows. Experience with Agentic … Focus Areas / Desirable Skills Foundational Models: Gemini, OpenAI, Claude, Llama, Local Models Machine Learning: PyTorch, TensorFlow, Fine-tuning Frameworks: LangChain, LlamaIndex, Hugging Face Retrieval Augmented Generation: PostgreSQL, Vector DBs, Advanced Retrieval Orchestration…
ML Infrastructure Engineer
…buffers, reward signals, policy updates, eval loops). Strong Python (concurrency, async, multiprocessing, performance optimization) and PyTorch or JAX. Debugging distributed GPU workloads across CUDA, drivers, containers, NCCL, networking, storage, and checkpointing. Profiling … across the stack (py-spy, PyTorch profiler, Nsight, perf, tracing). Inference stacks: vLLM, SGLang, TensorRT-LLM, Dynamo, or custom serving. Ability to connect system metrics to model behavior and learning dynamics. Relocation…
ML Engineer, Infrastructure
…hardware, and you hate wasted compute Tech stack: Slurm, GCP, Docker, wandb, GitHub Actions, uv, PyTorch, Triton You may be a good fit if you have: 3+ years building and operating production … bandwidth, GPU profiling. You reason about hardware, not configs Strong Python and genuine fluency with PyTorch internals. Enough to profile a training run and tell whether the bottleneck is data loading, communication…
ML Platform Engineer
…Infrastructure: Design and scale distributed training workflows for large models using tools such as PyTorch Distributed, DeepSpeed, and cluster schedulers like SLURM or Kubernetes. ML Platform: Build and maintain containerised … Distributed Training: Experience designing and operating distributed training systems on Kubernetes and Docker, using PyTorch Distributed, DeepSpeed, and schedulers such as SLURM. CI/CD for ML: Experience building CI/CD pipelines that…
Solutions Engineer
…Account Executives and Customer Success Managers. Prototyping and deployment Build Python prototypes with YOLO, OpenCV, PyTorch, and Docker. Create benchmarks, integrations, and production-ready training and deployment workflows. Deploy solutions across Linux … customer deployments. 🧠 Skills and experience Core requirements Strong Python and practical experience with YOLO, OpenCV, PyTorch, and computer vision. Experience training, optimizing, evaluating, and deploying machine learning models. Comfortable with Docker…
Data Scientist II, ML Infrastructure
…scale. The work spans areas such as production feature importance platforms, observational causal estimation in Pytorch, large-scale proxy metric development, and data-driven approaches to ML infrastructure efficiency. We're looking … research scientist or software engineer, with significant ML production experience. Strong Python skills; experience with PyTorch or equivalent deep learning frameworks; familiarity with distributed compute (Spark, Ray). Ray specifically is a strong…
Research Scientist / Engineer – Reinforcement Learning Infrastructure
…experience post-training LLMs with RL (PPO/GRPO-family, RLHF, RLVR) at meaningful scale. Extensive distributed PyTorch training and parallelism (FSDP, Tensor/Pipeline/Expert Parallel) for foundation models. Experience building RL environments, reward functions, verifiers…
Principal Solutions Architect
…Understanding of distributed training and inference infrastructure requirements. Familiarity with AI/ML frameworks such as PyTorch, DeepSpeed, or Megatron-style training stacks. Knowledge of checkpointing, data pipeline design, and high-throughput storage architectures…
Senior Infrastructure Operations Engineer (EMEA)
…Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research…
Ingénieur DevOps confirmé F/H
…ordonnanceur GPU, opérateurs et CRD, Gateway API / ingress, serveurs d'inférence LLM (vLLM ou équivalent), PyTorch Livraison et outillage : Git, GitLab CI ou GitHub Actions, Argo CD ou Flux,Helm, Kustomize, Terraform…
Machine Learning Platform Engineer
…product teams to turn evolving model requirements into production-ready infrastructure Tech Stack Python PyTorch / JAX LLM and ML serving infrastructure such as vLLM, SGLang, or TensorRT-LLM Cloud infrastructure Distributed systems…
Solution Architect - GPU & HPC
…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…
Machine Learning Platform Engineer
…product teams to turn evolving model requirements into production-ready infrastructure Tech Stack Python PyTorch / JAX LLM and ML serving infrastructure such as vLLM, SGLang, or TensorRT-LLM Cloud infrastructure Distributed systems…
Senior Developer
…research platforms. Programming: Expert-level Python, including large-scale data processing with NumPy, Pandas, Polars, PyTorch, or similar. C++: Working proficiency in C++ for performance-sensitive components. Data Systems: Hands-on experience…