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AI Algorithm Engineer – LLM/VLM (Mandarin Required) Experience: 3–5+ Years Education: Master’s Degree or Above Employment Type: Full-Time Sponsorship: H1B Transfers possible About the Opportunity Our client is a global…
Lead Apple’s AI evaluation framework, defining metrics and methodologies to validate next-gen AI models across modalities and shape product roadmaps.
1、负责 PE Model、Caption Model、Reward Model 三类 VLM 的训练与优化，基于千卡级算力进行大规模模型训练，探索 SFT、RL、Agentic RL 等训练方法，持续提升模型在视频理解、视频描述和视频质量评价等任务上的能力，训练业界 SOTA 的视频理解 VLM 和流式视频理解 VLM； 2、负责 VLM Agent 的设计与训练，探索 VLM 在复杂视频理解任务中的 Agent…
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,…
Lead the roadmap for Splunk’s AI Foundations platform, defining domain-specific models, agentic protocols, and orchestration tools to power enterprise-grade AI workflows for global customers.
Lead the design and scaling of data pipelines and labeling workflows that power Cisco’s AI models, focusing on high-quality training data for LLMs and agents.
Build and deploy AI/ML models, LLM-powered apps, and agentic systems to solve industrial and sustainability challenges using Python, Spark, and cloud platforms.
Our Purpose At Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. The rise of Generative AI and Agents has unlocked…
Build AI agents that autonomously plan, run, and interpret complex materials-discovery workflows, integrating simulations, experiments, and expert feedback to accelerate breakthroughs in sustainability.
The Role You'll work across the lab on agent capability evals, benchmark design, LLM-as-judge systems, failure analysis, and the infrastructure that ties it together. This is a high-growth, high-ownership role on a…
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…
团队介绍：TikTok搜推算法团队，负责TikTok短视频产品的基础推荐、搜索算法，加入我们，你能接触到包括搜索、用户增长、社交、直播、内容创造、内容消费等核心业务场景，直接为核心用户体验负责，支持产品在全球赛道上高速发展。我们的工作内容包括大规模推荐算法的优化、复杂约束的优化问题的解决、多模态大模型的落地，并着力研究下一代AI Search和Chatbot的核心研发技术，包括不限于Multi-Agent、Agentic…
You’ll lead the post-training pipeline for cutting-edge generative AI models, aligning them to human intent through preference optimization, distillation, and safety tuning across image, editing, and video.
1. 用户偏好采集与建模：设计并构建系统化的用户偏好数据采集方案，深入分析用户行为与反馈信号，建立多维度、可扩展的用户偏好表征与建模体系，为 Reward Model 训练提供高质量数据基础。 2. Reward Model 训练与优化：训练高精度、低偏差的 Reward Model，覆盖创作质量、指令遵循、安全对齐、人类偏好等多个专项维度；持续优化训练策略，有效缓解 Reward Hacking 与分布偏移问题，为下游 RL…
1. 多模态Pre-training：开展研究及进行实验。研究内容包括：数据清洗与筛选、数据配比优化、课程学习、视觉语言模型结构设计与优化、训练策略优化、预训练数据合成、scaling law预测、词表优化、模型蒸馏与压缩、长上下文能力优化等。 2. 多模态Post-training：迭代Post-training训练策略（SFT/RLHF），专项能力数据迭代，参与模型能力评测及评测数据和评估标准的迭代。 3.…
About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo ,…
Design and lead the architecture of AI-native applications, including agent systems, LLM infrastructure, and scalable data pipelines, while ensuring security and compliance for production-grade systems.
Lead enterprise Generative AI strategy, designing advanced RAG architectures and evaluation frameworks to deploy production-grade LLM systems with a focus on accuracy, safety, and business impact.
Lead the roadmap for Splunk’s core AI/ML platform, defining tools for model development, orchestration, and enterprise-grade deployment with security and observability.
Location: Onsite Experience: 10–15+ years in Data Science & Applied ML, with 4+ years dedicated to Generative AI, LLMs, and Advanced Retrieval Systems Primary Objective We are seeking a Principal Data Scientist…
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