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The Role Training robot foundation models is expensive and iteration speed is everything: the faster our robotics engineers can launch a job, get results, and try the next idea, the faster the whole company moves. We…
Build and deploy AI systems for edge and embedded environments, from R&D to production, focusing on model training, evaluation, optimisation, and MLOps to deliver real-world impact in demanding settings.
Designs and deploys advanced AI/ML systems (LLMs, agentic workflows, multimodal models) for government/commercial clients, optimizing for production, edge, and security.
Build and operate scalable ML training systems and pipelines on AWS and Kubernetes, optimizing GPU-based workloads, enabling Gen AI/LLM fine-tuning workflows, and improving platform reliability and developer experience.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the AI/ML data platform team you serve as a seasoned…
在腾讯，后台开发工程师不仅是“又快又稳”的问题解决专家，更是生态共创者。你将与技术团队一同沉淀优质代码，让它成为我们共有的宝贵资产。在不同的业务场景和技术发展阶段，你的架构思维也将帮助更多协作团队拓展新的思考。我们也珍视你的挑战精神，同时欢迎你一起参与团队愿景、文化和产品方向的探讨。 1.负责语音全双工对话大模型的架构设计与预训练，构建边听边说、实时打断、自然接话和连续对话能力；…
This co-op researcher role at Huawei's Noah’s Ark lab involves conducting research on LLM post-training, agentic coding, and reinforcement learning. The researcher will design experiments, build scalable infrastructure, and develop intelligent agents using Python and PyTorch.
Member of Technical Staff - ML Performance About Us Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from…
1010_ML Infrastructure Engineer（MLOps / RoboOps）【正社員】 仕事概要 #### ポジションの概要 ロボット学習を支えるML基盤（MLOps）全体を担当していただきます。自らモデルを開発するのではなく、**モデル開発を円滑に回すための基盤を構築・運用する**ことがミッションです。ロボット領域ならではのデータ・実機を前提としたこの基盤づくりを、当社では **「RoboOps」**…
Your Job The Senior LLM Engineer will fine-tune and deploy LLMs on Azure OpenAI / Azure AI Foundry to power generative AI capabilities within our engineering design platform, translating natural-language design intent…
Senior Staff Software Engineer on LinkedIn's AI Infrastructure team, responsible for designing and optimizing large-scale distributed training and serving systems for AI models (e.g., LLMs, recommendation engines), using frameworks like PyTorch, TensorFlow, Horovod, and DeepSpeed to scale up to hundreds of billions of parameters and high-throughput GPU inference.
Role Summary Optimize and fine-tune large language models (GPT-4o, Claude, Llama-3, etc.) for client-specific tasks in English, Arabic, Urdu, and Bengali. Key Responsibilities Collect, clean, and annotate domain data…
Pangram Labs is hiring for a strong junior Machine Learning Engineer. In this role, you will build software to support the machine learning development cycle from data generation, to training models, to deployment and…
A Developer Relations Engineer at Vast.ai who runs AI workloads on the company's GPU marketplace, creates public example repositories and benchmarks, and acts as the technical voice for the developer community while reporting issues to engineering and product teams.
1. 负责大语言模型强化学习全链路优化，包括高质量训练数据构建、奖励模型迭代（Reward Model / Process RM）、RL策略训练（PPO/DPO/GRPO等），持续提升模型推理质量与对齐效果； 2. 探索强化学习前沿技术并推动落地，包括但不限于：推理时计算优化（Test-time Compute）、基于搜索的推理增强、多步Agent决策优化、在线学习与自我进化； 3.…
Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work , offering you the opportunity to make an impact globally while working across a global team…
Build, optimize, and deploy large language and multimodal models for industrial use, focusing on training, compression, RAG, and agent workflows.
1. 训练策略设计与优化： 深入理解预训练与RL后训练（如PPO/GRPO等）算法流程，设计并优化大规模分布式训练策略（3D并行、MoE EP、Context Parallel等），解决RL阶段多模型（Actor/Critic/Rollout/Ref）交互的复杂调度与显存墙问题。 2. 框架定制与二次开发： 基于主流训练框架（如Megatron-LM,…
Build and scale distributed training infrastructure for large-scale AI avatar models, optimizing GPU clusters, parallelism, and multimodal data pipelines for real-time, full-duplex training.
The Company: Faraday Future is a California-based technology company focused on the design, engineering, and development of intelligent, connected electric vehicles and related artificial intelligence–enabled…
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