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Salary: RM 6,000 – RM 8,000 per month Role Overview We are seeking a high-caliber AI Research Engineer to bridge the gap between cutting-edge algorithmic research and high-performance system implementation. In this…
1. 负责搜索与推荐算法的设计与研发，综合运用深度学习、大语言模型、多模态理解等技术，持续提升用户体验、流量效率与商业转化。 2. 深入理解业务与产品逻辑，能够与产品、运营、工程等团队高效协作，将业务需求转化为可落地的算法方案。具备从数据洞察到模型上线的全链路能力，支撑业务增长。 3. 持续跟踪AI前沿进展，包括但不限于大模型微调、模型蒸馏、多模态大模型、AI Agent等方向，结合业务场景评估并推动新技术的工程化落地。 1.…
1、构建面向电商场景的智能Agent系统： 负责设计、开发和迭代面向商品理解与匹配的智能Agent系统，基于大语言模型（LLM）构建具备自主规划、工具调用、多步推理和记忆管理能力的Agent架构，实现商品多模态信息（文本、图片、价格等）的深度理解与智能决策。 2、Agent核心算法研发与优化： 负责Agent核心算法的研发，包括但不限于：Agent规划与决策策略、工具学习与技能进化（Tool Learning、Skill…
About This Role — The Mission Precision product development is one of the last frontiers where AI has not yet been systematically deployed at the physics level. We are changing that. As the ML Technical Lead on this…
Software Engineer, Robotics & VLA Systems Mountain View, CA · Full-Time · Physical AI Team About Deccan AI Deccan AI is a model training and evaluation startup (Mountain View, CA; delivery center in Hyderabad).…
About Jarmin Jarmin builds AI Employees for human-level roles. An AI Employee learns its responsibilities, understands your data, embeds into your systems, and becomes part of your team's day-to-day workflow.…
Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites…
Machine Learning Engineer — Brand Intelligence Predict The Opportunity Join us at Adobe as a Machine Learning Engineer (MLE 50) on the Adobe Brand Intelligence Predict team in San Jose, CA! Help us build the next…
Senior Applied Scientist — Brand Intelligence Predict The Opportunity Join us at Adobe as a Senior Applied Scientist 5 on the Adobe Brand Intelligence Predict team in San Jose, CA! Help us build the next generation of…
Applied Researcher 5 (AI Foundations, LLM Core and Agentic AI) At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in…
Applied Researcher 4 (AI Foundations, LLM Core and Agentic AI) At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in…
Applied Researcher 4 (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has…
Senior ML engineer owning model quality for Apple Intelligence features like Summarization and Writing Tools: designing modeling pipelines, driving data curation, prompt engineering, and evaluation workflows, and applying post-training techniques (SFT, PEFT, RLHF, distillation) to ship privacy-preserving language models across Apple platforms.
Senior engineer on FloQast's Core AI team architecting and scaling production AI features — chatbots, document processing, and agentic workflows — for its accounting automation platform, while building the centralized AI platform (model routing, vector search, MCP integrations) in Python, primarily on AWS.
ABOUT THIS ROLE GHX is standing up a new Human-in-the-Loop (HiTL) operations team in Hyderabad to support its ADM (Automated Document Management) platform — an AI-powered document processing system replacing legacy…
Gig-style engagement: ML/AI engineers join Prolific's Expert Network as paid participants to train and evaluate LLMs — auditing model reasoning, ML code, and RLHF quality via flexible hourly tasks paying up to $80/hr. Core tech: Python, PyTorch/TensorFlow, Hugging Face Transformers, RLHF/RAG workflows.
Paid participant gig via Prolific's Expert Network: senior AI/ML engineers work remotely to train and evaluate LLMs — auditing model reasoning and code, refining RLHF feedback, and benchmarking outputs — earning up to $80/hour. Core stack: Python, PyTorch/TensorFlow, Hugging Face, RLHF/RAG workflows.
Prolific is recruiting senior AI/ML engineers as paid participants in its Expert Network to train and evaluate LLMs: auditing model logic and ML code, providing RLHF feedback, and benchmarking outputs. Core stack: Python, PyTorch/TensorFlow, Hugging Face, RLHF/RAG workflows; pays up to $80/hour, remote from Austin, US.
Join Prolific's Expert Network as a paid participant helping train and evaluate LLMs: reviewing model architecture explanations, auditing ML code/notebooks, providing RLHF feedback, and benchmarking model outputs. Requires strong Python and PyTorch/TensorFlow skills plus LLM experience; pays up to $80/hour, remote (Belfast, UK).
Senior AI/ML engineers join Prolific's Expert Network as paid remote participants to train and evaluate LLMs — auditing model logic and code, providing RLHF feedback, and assessing chain-of-thought reasoning. Requires deep learning expertise (PyTorch/TensorFlow, Python, RLHF/RAG); pays up to $80/hour.
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