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AI Infrastructure Engineer Own Your Impact. At Propio , we don't believe careers happen to people. We believe people create them. Here, you're trusted to make decisions, challenge assumptions, drive innovation,…
Builds and optimizes the large-scale ML training systems behind Mistral's open-weight models — either improving the shared training framework, data pipelines and cluster tooling (Platform) or embedding inside research squads (Alignment, Pre-training, Multimodal, Safety). Daily work centers on Python, PyTorch/JAX, and distributed training at scale.
Intern builds AI models to extract and structure financial data, run time-series predictions, and improve multimodal finance-focused AI systems using Python and deep learning frameworks.
在腾讯，技术人解决问题的激情永不熄灭。无论是面对产品、程序的问题，还是生活与人的问题，腾讯技术人都力图交出漂亮的答卷。我们善用科学工具，以强大的思维之力创造世界，为卓越的产品体验保驾护航，也为公司和产品策略提出宝贵的洞见，用技术引领新的变革。这里的每位成员，既传承着长久以来的务实文化，又时刻以创新眼光瞄准大海星辰。我们十分期待你加入这样一个「技术社区」，分享团队能量，尽情发挥所长。…
Senior AI Engineer at Comm100 building LLM-powered AI Assistant features for its customer engagement platform — spanning LLM pre-training/fine-tuning, RAG and agent architectures, prompt engineering, and model deployment using Python, PyTorch/TensorFlow, LangChain-style agentic frameworks, and serving tools like vLLM. Fully on-site in downtown Vancouver.
Build and improve multimodal AI models that understand and generate text, images, and video for real-time user experiences.
Research and develop large-scale multimodal AI pretraining systems, optimizing data pipelines and training infrastructure to advance foundation models for real-time, intuitive intelligence.
LawZero, a non-profit AI safety research organization, seeks a senior distributed ML engineer to work alongside research scientists on training and serving very large models. Day to day: profile and optimize distributed training/inference, debug performance bottlenecks, build tooling to orchestrate distributed compute, and document large-scale ML workflows using frameworks like Megatron, DeepSpeed
Мы развиваем GigaChat и ищем сильного ML-инженера в команду online RL. Это роль для человека, который умеет доводить исследовательские идеи до работающих решений: проектировать и запускать эксперименты, строить…
Привет! Это GigaChat Vision — команда, которая делает полный цикл обучения VLM моделей. Ищем руководителя направления ML VLM, который возглавит команду целиком: будет формировать техническую стратегию, собирать и…
AI Engineer building LLM-powered AI Assistant features for Comm100's digital customer engagement platform — working on RAG, agents, prompt engineering, and model fine-tuning/deployment using Python, TensorFlow/PyTorch, and frameworks like LangChain and LlamaIndex. Fully on-site in downtown Vancouver; $80,000–120,000 CAD per year.
Perplexity is seeking an experienced Machine Learning Research Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking Relentlessly push search quality forward…
This is a remote position. We represent a technology player whose digital banking platform is transforming financial services in emerging markets making a real impact by embedding credit and savings products into the…
Bridges quant research and high-performance computing by accelerating end-to-end ML model training at a quantitative trading firm — benchmarking workloads across GPUs/accelerators, optimizing distributed training, GPU kernels, and training infrastructure. Core stack: Python, C++, PyTorch/JAX, CUDA, NCCL.
1. 针对整机柜超节点服务器，全面赋能计算、互联、监控、故障及性能诊断等核心能力； 2. 梳理适配超节点异构服务器产品的业务场景，开展对应的昆仑组件设计与开发，涵盖性能评测分析、容器镜像等关键模块； 3. 基于整机柜硬件架构及典型业务落地场景，构建典型故障与异常案例库，并设计相应的故障诊断方案； 4. 负责跟踪与研究主流GPU架构设计技术，参与下一代AI Infra的规划与设计； 5.…
1.从推理框架与算子层的视角，参与异构资源 Profiling & Tracing 平台的架构设计与能力建设，覆盖框架调度、算子执行、硬件微观指标等全链路性能诊断能力； 2.能基于主流推理框架（vLLM / SGLang / TRT-LLM）的源码理解，分析调度策略对推理延迟与吞吐的影响，定位性能瓶颈并提出优化方案； 3.负责 GPU 满载运行场景下的稳定性与性能问题排查，包括 RAS 故障（ECC、XID、NCCL…
Мы — исследовательская команда, работающая на переднем краю LLM-технологий. Мейнстрим LLM-рецепт — это потолок, который мы пытаемся пробить: ищем архитектурные ходы, новые objective-функции, нестандартные режимы…
渴望为世界带来新意的人，早已对描绘未来的“热词”不陌生——人工智能、机器学习、数据科学等等。腾讯始终在业界前沿不断探索，积极布局，并为优秀的你提供无限广阔的舞台。我们坚信科技的不断革新，最终能带来美好的、撼动人心的改变。 1.AI Agent 算法研究方向：探索工具调用、模型规划、长记忆、意图识别等核心能力；研究多 Agent 协同机制，推动 Agent 在实际业务中的落地；…
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