Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
As an AI Engineering Manager on our Core AI team in India, you will be a cornerstone of FloQast's AI transformation and a key leader in our growing global engineering organization. You will manage and scale a team…
团队介绍：字节跳动 Seed 团队成立于 2023 年，致力于寻找通用智能的新方法，追求智能上限，为科技和社会发展作出贡献。 Seed 团队在 AI 领域拥有长期愿景与决心，团队研究方向涵盖 MLLM、GenMedia、AI for Science、机器人等，在中国、新加坡、美国等地设有实验室和岗位。目前，团队已推出业界领先的通用大模型以及前沿的多模态能力，支持豆包、即梦、TRAE 等超过 50…
训练方向： 负责分布式训练框架的设计与优化，支撑医学大模型（LLM及多模态）的预训练、SFT微调、Post-Training（RLHF/GRPO/PPO等强化学习对齐）全流程训练任务。 构建高效稳定的训练数据Pipeline，包括数据预处理、数据加载与调度、Checkpoint管理（异步快照、分布式Checkpoint、断点续训）等基础设施。…
Join our Team About the Opportunity: Ericsson Enterprise Wireless Solutions (BEWS) drives Ericsson's Enterprise Networking and Security business. Our growing portfolio spans WAN, LAN, and enterprise security…
About Turing Turing is one of the world’s leading AGI infrastructure companies, working with frontier AI labs to accelerate model development through high-quality training data, evaluations, and engineering talent.…
我们是飞猪AI智能体和导购团队，负责飞猪商业化Agent的核心能力建设与业务落地、以及度假、酒店、品牌广告的投放的全链路工作。 你将参与以下核心工作： 1、负责飞猪商业化 Agent 的优化与迭代，包括但不限于 Agent 架构设计、工具调用、多轮对话管理、长上下文推理等关键能力的提升 2、与产品、工程团队紧密协作，将算法能力转化为可落地的用户体验，持续优化 Agent 的业务指标…
Description Own end-to-end frontend architecture for AI and Non-AI Platform products, defining patterns for streaming UI, real-time agent responses, tool-call visualization, citations/grounding display, and multi-turn…
Job Description Summary Responsible for designing and programming a small module or a large component and designing a feature, set of features, or whole feature area. She/he will work independently and contribute to…
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Manager, Applied Researcher About Capital One Canada For 30 years, we've been on a mission to change banking for good. We challenge the traditional bank…
Обязанности: По данной вакансии просим звонить по номеру: 8 (800) 333-30-73. Обязанности: Проектировать и обучать большие языковые и мультимодальные модели (от 7B параметров): подготовка корпусов, токенизация,…
Forward-deployed product manager embedded with enterprise customers to drive AI/ML deployments to production, translate operational reality into product feedback, and expand customer value.
Research and develop post-training techniques (SFT, RLHF, reward modeling) to improve large language and multimodal models, publish findings, and collaborate with top AI labs.
Scale's LLM post-training platform team builds our internal distributed framework for large language model training. The platform powers MLEs, researchers, data scientists, and operators for fast and automatic…
Builds and maintains identity infrastructure (SSO, MFA, OAuth/OIDC, RBAC/ABAC/ReBAC) for a company powering large-scale AI models with RLHF and human evaluation.
Staff Full Stack Engineer at Scale AI building and evolving the Gen-AI data platform that powers LLMs via RLHF, vector databases, and cloud-native infrastructure.
Build observability, evaluation, and improvement loops for production-grade AI agents, ensuring reliability and performance across enterprise and government use cases.
Develop evaluations, benchmarks, and diagnostic methods to identify and analyze failure modes in frontier LLMs and multimodal models, applying post-training expertise (SFT, RLHF, reward modeling) and publishing research at top AI conferences.
Staff-level hands-on engineer who owns the platform and hard engineering behind Scale's RL environments for LLM training: sandboxed execution, packaging, rollout orchestration, trajectory capture, and trustworthy verifiers/graders. Core stack is Python plus another systems language, Docker/Kubernetes/gVisor/Firecracker, distributed backend systems, and LLM agent tooling.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
