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Lead the architecture and implementation of AI-native coding agents inside Roblox Studio, building production-grade systems that plan, execute, validate, and iterate alongside creators.
About the Role Own complex, time-sensitive data and evaluation programs for AI research teams and internal partners. This role brings together technical program management, data operations, and vendor coordination to…
About Invisible Invisible Technologies makes AI work. Our end-to-end AI platform structures messy data, automates digital workflows, deploys agentic solutions, measures outcomes, and integrates human expertise where it…
Staff ML Engineer on Reddit's Ads Creative Effectiveness team building generative AI products for advertisers — image, video, and copy generation and editing pipelines with brand-asset preservation, LLM/VLM fine-tuning tuned by ad performance (RLHF/RLPF), and safety/compliance filtering.
Algorithm engineer on Alibaba.com's (Alibaba International) user growth team in Hangzhou: models cross-border buyer behavior and purchase intent, optimizes growth across search, social, Push and Email channels, manages budget-constrained ad buying, and builds core algorithms from conversion/LTV prediction and causal inference to LLM agents (RAG, Tool Use, multi-agent workflows).
Toloka, a GenAI data company, is hiring a freelance (B2B) Forward Deployed AI Engineer — its most senior client-facing technical role. Day to day: diagnosing AI labs' and enterprises' data needs, then hands-on building data-generation, labeling, and evaluation pipelines (Python, LLMs, RAG, agentic systems, synthetic data) while owning delivery and commercial outcomes. Fully remote in the EU, 40 hr
About Toloka At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use…
Company is an ecosystem of 60+ successful brands working together across 22 European countries to provide its 3.3 million SMB customers with everything they need to succeed online by offering best-in-class expertise…
Technical lead for LLM work at Social Discovery Group: speed up and scale LLM inference in production (SGLang, vLLM, distributed multi-GPU/multi-node setups), benchmark GPU hardware, train and fine-tune models, and guide the NLP and CV teams while staying hands-on with PyTorch.
AI algorithm engineer at Alibaba Group in Hangzhou building LLM agent systems: agent frameworks for retrieval, fact-checking, code-run verification and auto-completion, plus reward/verifier design, expert profiling, and internal benchmarks for RL training. Core stack: PyTorch, HuggingFace, vLLM/SGLang, RLHF/DPO/GRPO.
团队介绍：作为一家拥有自主创新和研发创造能力的科技品牌，PICO致力于成为领先的世界级XR平台，成就开发者与创作者，共同为全球消费者创造更美好的生活体验。我们开创性地将虚拟现实扩展到了多个领域，为运动、视频、娱乐等消费级场景带来了全新体验；并广泛应用在教育、医疗和企业培训等商用场景，给全球企业级用户提供了多元化的VR解决方案。 日常实习：面向全体在校生，为符合岗位要求的同学提供为期3个月及以上的项目实践机会。…
Alibaba's Amap (高德) is hiring a Senior AI Application Engineer in Beijing to build production-grade LLM agent systems — agent orchestration, multi-agent frameworks, LLM Ops, RAG pipelines and evaluation loops. Core stack: Python/Go, Kubernetes, LangChain/LangGraph and large models like GPT-4, Claude, Llama and DeepSeek.
Domain data expert (coding) on Alibaba's large-model data team: defines coding-domain data tasks, builds LLM/Agent-driven automated data production pipelines, designs annotation standards, QC logic and evaluation rubrics, and uses experiments/analytics to raise data quality and throughput. Requires a PhD, 5+ years experience, and deep LLM (SFT/RLHF) and Agent architecture knowledge.
Senior algorithm expert at Alibaba in Hangzhou researching next-generation LLM architectures — new attention mechanisms, RL/RLHF, multimodal unified modeling, long-context efficiency — adapting frontier breakthroughs to medical scenarios via large-scale distributed training, publishing original results, and building foundation-model bases for medical diagnosis agents.
● 主导临床诊疗 Agent 核心算法研发：任务规划（Planning）、工具调用（Tool Use / MCP）、多轮决策、记忆与反思（Memory & Reflection），构建稳定可靠的 Agent 执行框架。 ● 探索 Agentic RL 训练范式（PPO / GRPO / RLVR、过程奖励模型 PRM、Self-play、多轮 rollout），提升 Agent 在长程诊疗路径中的策略优化与自我纠错能力。 ●…
LLM algorithm engineer/expert for Meituan's international Keeta food-delivery platform: builds intelligent customer service, content moderation, and liability-adjudication systems, including post-training base models (SFT/RLHF/DPO). Core stack: Python/Java, PyTorch/TensorFlow, RAG, agents, and multimodal models for multilingual markets.
Lead LLM-based credit risk-control modeling at Meituan in Shanghai: build the full algorithm pipeline from data prep, model fine-tuning (PEFT/LoRA), RLHF, and distillation to online deployment, applying LLMs and multimodal models to credit-line pricing and approval decisions, iterating via A/B tests with strategy, product, and engineering teams.
About the Team The Agent Post-Training team creates the frontier agents OpenAI ships to the world. We are training the models behind our agents in Codex, ChatGPT, the API, and other frontier products: persistent,…
Build and fine-tune open-source LLMs and agentic AI systems for Lyft’s Safety and Customer Care team, turning support interactions into safe, scalable solutions using LangGraph and post-training methods.
Dentist for AI training https://jobs.micro1.ai/post/3b349b7b-de4d-4763-8aad-e4afff866be3?referralCode=1761f2a1-0970-4c4f-a273-a1b557d5ad9f&utm_source=referral&utm_medium=share&utm_campaign=job_referral Role…
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