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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…
Lead the design and development of machine learning systems to evaluate and improve Waymo's autonomous driving technology, focusing on reinforcement learning, generative models, and large-scale simulation workflows.
Senior ML Engineer builds and deploys computer vision and vision-language models to generate high-fidelity labels for autonomous driving, using deep learning, generative AI, and reinforcement learning at scale.
Build and scale large vision-language foundation models for autonomous driving, using multimodal pre-training and reinforcement learning to improve scene understanding and autolabeling.
Senior engineer on Taboola's Tel Aviv GenAI team building and evaluating generative AI products like DeeperDive — improving content discovery, personalization, and monetization at scale. Day to day involves LLM/RAG evaluation, fine-tuning, analytics, and algorithm development with Python, Spark, and LLM tooling.
Technical Account Manager (TAM) at Alibaba Cloud in Beijing serving major internet key-account customers: owns enterprise AI Agent delivery (RAG, prompt engineering, multi-agent orchestration), LLM training/inference support on PAI, AI cloud-native stability and observability, and cloud architecture optimization on GPU compute.
Join the core team at Eclipse, where we’re building an AI agent-first marketplace that connects intelligence with real-world tasks, starting with data collection and labeling. We are seeking a Data Scientist to…
Role Title: Dentist for AI training Role Type: Contractor Location: Remote micro1 is engaging experienced dentists to participate in AI data training opportunities for a customer’s project. In this role, you'll…
Leads the AI behind Altana Nexus, an agentic platform for global trade: architecting models and AI agents that turn shipments, customs filings, and trade documents into real-time risk and compliance decisions. Core stack is PyTorch and the Python LLM ecosystem (RAG, agentic workflows, SFT/DPO/RL post-training, evals), with Databricks, vLLM, and LangGraph on AWS/Azure.
Senior Staff Machine Learning Engineer leading the AI behind Altana Nexus, an agentic platform for global trade: designing pipelines from trade-data ingestion to real-time risk/compliance decisions, post-training LLMs (SFT, DPO, RL), and building eval/observability stacks. Core stack: Python, PyTorch, LLM/RAG tooling, Databricks, AWS/Azure.
Role Title: Dentist (DDS/DMD) - Dental Technology Role Type: Contractor Location: Remote micro1 is engaging Dentist (DDS/DMD) - Dental Technology experts to contribute to a unique customer project at the intersection…
Recommendation algorithm expert for Meituan App's homepage: iterates full-pipeline recommendation strategies (supply, recall, ranking, mechanisms), builds end-to-end generative recommendation over ultra-long user behavior sequences, and applies LLM/VLM capabilities toward intent understanding, multimodal representation, cold-start mining, and agentic recommendation.
1. 千问 C 端数据体系设计与 Bad Case 挖掘：针对千问 C 端多种真实使用场景（日常问答、对话/多轮、办公类任务、开放性问题、安全对齐等）做结构化拆解（意图分类、场景分级、任务原子化），设计可复用的任务模板与数据构造方式；从线上真实对话与模型 rollout 中系统性发现 bad case（回答错误、意图误判、答非所问、拒答过度、多轮体验断裂、安全对齐问题等），做根因分类并输出结构化改进清单，驱动数据补充与评测修正。…
Domain data expert for Alibaba's LLM data production line: defines tasks and taxonomies, builds LLM/Agent-driven automated data pipelines, designs worker training and human QC logic, and creates multi-dimensional evaluation rubrics. Requires deep LLM training knowledge (pretraining, SFT, RLHF/RLAIF) and Agent architecture expertise.
Industry data expert at Alibaba building Agent/LLM-driven data production pipelines for the 'work' domain: defining tasks and taxonomies, designing QC rubrics and expert training, and running experiments to quantify and improve data quality. Requires deep LLM (SFT/RLHF) and Agent architecture expertise plus strong vertical-domain know-how.
Alibaba (Hangzhou) is hiring an image-domain data expert to drive AI training-data production: defining tasks and taxonomies, building LLM/Agent-driven data pipelines, and designing evaluation rubrics and manual QC. Requires a PhD in art/design/architecture/CS plus deep LLM (SFT, RLHF/RLAIF) and Agent architecture experience.
1. 策略后训练：负责 VLA / 基础操作模型的后训练全流程，在预训练/模仿学习得到的基座策略之上，通过强化学习微调（RLFT）、离线 RL、DAgger、HIL-SERL 、RECAP 等手段持续提升真实仓储任务的成功率与鲁棒性。 2. 奖励与数据闭环：设计任务奖励函数与自动成功判定，搭建 Reward Model /…
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.负责针对影视任务（如影视后期编辑、ai视效、ai短剧等）视频生成与编辑领域核心算法的研究与开发，涵盖 Text-to-Video、Image-to-Video、Video…
Job Summary : As a Senior Forward Deployed Engineer FDE) at Rackspace Technology, you will be embedded directly with our most strategic enterprise customers to architect, build, and deploy high-impact AI solutions.…
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