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Hands-on senior role owning ML models and AI agent behavior end to end — problem framing, fine-tuning, retrieval design, agentic orchestration, evaluation, and production serving. Core stack: PyTorch, Hugging Face, LangChain/LangGraph, expert Python/SQL, and cloud AI deployment on AWS/Azure/GCP.
Staff-level AI engineer setting technical direction for Nscale's GenAI cloud inference platform — dedicated/serverless inference, bring-your-own-model deployments, and post-training services. Deep specialization expected in areas like KV cache/performance, GPU kernels (CUDA/Triton), evals, RL for LLMs, or serving engines (vLLM/SGLang), built on Python, PyTorch, and Kubernetes GPU clusters.
Build the platforms that make advanced AI practical at scale. In this role, you’ll shape standards, tooling, and reliable inference foundations that help engineering teams move faster with confidence. You’ll work…
В Центре Робототехники Сбера мы интегрируем передовые робототехнические системы собственной разработки, включая манипуляторы, мобильные колесные роботы, мобильные манипуляторы, роботов собак и другие cutting-edge…
Build and maintain the machine-learning infrastructure that trains and deploys AI models for medical imaging, including distributed training, data pipelines, and production serving.
We are a fast-growing and exciting tech company that provides innovative and human-centric digital twin solutions, ranging from smart construction, 3D visualisation, VR gaming to 4D immersive experience. Our team is…
Deep learning engineer on 42dot's Gleo AI team building production text-to-speech (TTS) for in-vehicle voice experiences. Day-to-day work spans optimizing TTS models for on-device/NPU environments (quantization, memory/latency), streaming synthesis, and multilingual/multi-speaker models using LLMs and flow matching, with PyTorch, TensorRT/ONNX, Python/C++ on Linux.
What You Can Expect You'll design, implement, and own the inference systems that serve Zoom's AI models at production scale -- across real-time communication, vision, and language workloads. You'll be…
NVIDIA DGX Cloud delivers AI services and endpoints for research and production workloads. We are looking for a Senior Production Engineer to build software and automation that make those services reliable, scalable,…
Job Description About the Team: GM’s AV/AI Platform organization builds the software foundation and engineering tools that power safe, reliable, and scalable autonomous driving and advanced driver-assistance systems.…
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into…
Worker Type Regular Job Description NOTE : to qualify for this role, you must be a U.S. Citizen Summary The Senior Machine Learning Engineer will be a member of the Learning and Active Perception (LEAP) group in AV’s…
Worker Type Regular Job Description NOTE : to qualify for this role, you must be a U.S. Citizen Summary The Machine Learning Engineer will be a member of the Learning and Active Perception (LEAP) group in AV’s…
Type of Requisition: Regular Clearance Level Must Currently Possess: Secret Clearance Level Must Be Able to Obtain: Top Secret/SCI Public Trust/Other Required: None Job Family: IT Infrastructure and Operations Job…
Wyetech is seeking a Software Engineer to support Machine Learning as a Deployment Engineer who moves video,image,speech,and text analytics (VISTA)models from research prototype to production inference services that…
Early-career ML engineer at Mach9 builds 3D computer-vision perception models that extract objects and line features from LiDAR point clouds and imagery, powering the company's AI-enabled CAD/surveying product. You ship features end-to-end — data strategy, model training/fine-tuning, evaluation, and integration — using Python and PyTorch.
A Staff AI/ML Engineer on Medallia's AI Platform team sets the technical direction for the AI platform, architecting in-house and cloud-native ML infrastructure, data pipelines, APIs, and standards for next-generation AI products on the Medallia Experience Cloud SaaS platform. Core stack includes Python/Java/Scala, Kubernetes, Spark/Hadoop/Kafka, Postgres, and AWS.
Lead DDN's engineering organization for the KV Cache Platform—distributed memory/storage infrastructure that accelerates large-scale LLM inference across GPU clusters. You'll manage geographically distributed teams, own the technical roadmap and day-to-day execution, and partner with NVIDIA and customers, working with Go/Python, RDMA, GPUDirect Storage, and Kubernetes.
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