Senior ML Researcher/Engineer (World Models & RL) в команду робота доставки

Расширенная медицинская страховка начинает работать с первого месяца в Яндексе. В неё входят: В Яндексе есть всё, чтобы постоянно развиваться и учиться новому: Мы любим спорт и считаем его важной частью хорошего самочувствия каждого яндексоида. Поэтому у нас есть: Enhanced medical insurance begins from your first month at Yandex. It covers health care services at clinics and hospitals, whether for emergency care, surgeries, routine visits in your home country or abroad, medical tests and diagnostics, dental care, accident insurance, etc. At Yandex, we have everything you need for continuous growth and learning: an internal educational platform, mentoring, and programs for both beginners and experienced leaders. At Yandex's big offices, we have our own fully equipped gyms. There, you can work out independently or with a trainer. We love sports and consider it an important part of every Yandex employee's well-being. That's why we have: $3f * На экспертном уровне владеете JAX и PyTorch, имеете глубокий практический опыт работы с современными фреймворками — мы делаем огромную ставку на JAX : SPMD, multi-host JAX, XLA-компиляцию * Имеете навыки масштабного распределённого обучения, уверенный опыт обучения тяжёлых моделей на мультинодовых кластерах (FSDP, принципы Megatron-LM, 3D parallelism) * Имеете глубокую математическую и ML-базу: отлично понимаете непрерывные генеративные модели (Diffusion, Flow Matching, Diffusion Forcing) и Deep RL (Actor-Critic-архитектуры, RL in imagination, Model-Based RL) * Способны писать, генерировать и проверять быстрый оптимизированный код и доводить хардкорный ресёрч до продакшна с жёсткими ограничениями реального времени * Работали с Vision Foundation Models, генеративными видео- и image-моделями, а также синтезом лидарных облаков * Имеете опыт в Reinforcement Learning в LLM или лучше за их пределами * Обладаете опытом продвинутой квантизации тяжёлых трансформеров или диффузионных моделей для edge-девайсов: FP8, W4A8, INT4 (PTQ/QAT) * Оптимизировали инференс «на борту» робота: использовали C++, TensorRT, ONNX, CUDA * Имеете бэкграунд в Autonomous Driving, Motion Planning или Robotics 1:"$Sreact.fragment" 3:I[91373,[],""] 4:I[28825,[],""] 13:I[59536,["5144","static/chunks/5144-ab34660025cf6f7f.js?dpl=5_22_2","3467","static/chunks/3467-[contact omitted]b1673.js?dpl=5_22_2","4219","static/chunks/app/global-error-23401ec313d1fac8.js?dpl=5_22_2"],"default"] :HL["https://jobs.s3.yandex.net/static/career_id_www/_next/static/css/bd0e9129e084e758.css?dpl=5_22_2","style",{"crossOrigin":"","nonce":"M2E4MGY3YmEtMGE5Yi00M2Q3LTkwZGUtZTg5ZWMyYjdlMjQx"}] :HL["https://jobs.s3.yandex.net/static/career_id_www/_next/static/css/5edac0a1412bbe7f.css?dpl=5_22_2","style",{"crossOrigin":"","nonce":"M2E4MGY3YmEtMGE5Yi00M2Q3LTkwZGUtZTg5ZWMyYjdlMjQx"}] 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