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Job DescriptionJob Description Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of…
Applied AI ML Scientist at Cerebras (UAE): scopes customer AI engagements and builds custom large-scale models and agentic systems — designing training recipes, fine-tuning and aligning models (SFT, RLHF, DPO), analyzing training behavior, and scaling multi-billion-parameter workloads across clusters with Python and PyTorch.
Innodata is hiring a Data Program Manager to own end-to-end delivery of human data solutions (annotation, labeling, evaluation datasets) for off-the-shelf AI/ML products. The role blends client management with data operations — coordinating cross-functional teams, tracking quality metrics, and managing risks — with program management as the core skill and Python/SQL knowledge preferred.
Staff machine learning engineer on Google's Discover Feed Recommendation team, building AI-generated content (AIGC) quality frameworks, agentic feedback loops, and LLM evaluation systems to ensure factuality and coherence of AI content served on proactive surfaces like Discover and Notifications.
We are sharing a specialised consulting opportunity for experienced Lawyer/Legal Writers with strong expertise in legal writing, document review, critical analysis, content evaluation, editing, and written legal…
Leads a team of forward-deployed researchers to solve complex AI data challenges for enterprise customers, focusing on training data, evaluation frameworks, and RL environments while coaching team members and shaping technical strategy.
飞猪正在重构下一代 AI Native Search，打造旅行行业的AI搜索引擎。我们希望通过大语言模型、Agent、Reasoning、Semantic Retrieval 等技术，构建能够理解用户真实需求、具备推理能力的新一代搜索系统。如果你希望参与搜索范式的变革，而不仅仅是调排序模型，这将是一个非常好的机会。 你将负责 1）构建 AI Native Search Engine，提升复杂旅行需求的搜索理解与满足能力；…
1、AI摘要Agent研发: 设计并实现基于LLM的搜索摘要Agent,提升对搜索结果与旅行内容的理解、推理与结构化总结能力。 探索 LLM Reasoning 技术(思维链、多步推理),优化复杂查询的 Deep Research 模式,实现长文本理解与跨内容/跨商品的信息融合。 构建端到端系统,涵盖意图理解、知识与商品检索、结果生成与偏好对齐,持续提升用户体验。 2、AI搜推链路升级:…
Senior AI/ML engineer builds and ships LLM-powered health features like recommendations and conversational insights using Python, Databricks, AWS, and Terraform in a hybrid London office.
About the role As Zalos's Founding Full-Stack Engineer, your job is to build the product experience that makes this real. You'll be designing and shipping the application surfaces, backend services, and…
1、负责构建集团级多模态内容安全防控体系，研发基于VLM的内容审核与大模型安全对齐算法，保障通义千问、夸克AI等核心产品的业务安全； 2、深耕多模态大模型安全领域，重点突破跨模态通用表征、AI Agent安全防御、AIGC生成内容检测及大模型后训练安全调优等关键技术； 3、利用大模型能力构建自动化风险挖掘系统，通过合成对抗样本、长尾场景泛化及自我博弈，主动发现线上潜在的安全盲区与新型攻击模式，实现从“被动拦截”到“主动治理”的转变；…
1. 推动大模型在搜索系统的落地，利用大模型升级召回链路，探索生成式召回、语义召回、检索增强等技术； 2. 负责大模型的训练与效果优化，包括监督微调（SFT）、强化学习及相关后训练技术，结合搜索业务数据持续提升模型效果； 3. 构建面向搜索算法研发的智能Agent，将大模型应用于效果评测、问题诊断及策略优化的全链路优化，全面提升算法迭代效率和效果； 4.…
AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business…
The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on AWS Trainium, Amazon's custom machine learning…
We are looking for a Senior Machine Learning Engineer who will serve as a technical leader, driving the design and delivery of complex, large-scale ML systems that have significant business impact. In this role, you…
Leads X (Alphabet's moonshot factory) central Applied AI team, hands-on building and deploying ML/AI — focused on LLMs, transformers, and foundation models — across early-stage moonshot projects, while hiring, coaching, and setting technical direction for a team of research scientists.
Early, high-ownership role at Handshake Labs defining its post-training practice: designing SFT, RL, and preference-optimization methodologies, evaluation frameworks, and data pipelines for frontier models, then turning research insights into reusable AI products and platforms. Core stack is Python and PyTorch, based in San Francisco/Mountain View.
A Summer 2027 research internship at AMD's Santa Clara office, prototyping reinforcement-learning methods for post-training large language and code models — running controlled experiments, analyzing failure modes like reward hacking, and contributing to papers. Core stack: Python, PyTorch, GPUs.
A Summer 2027 PhD intern role as a Technical Program Manager within AMD's AI research team in Santa Clara, CA. Day to day the intern coordinates research roadmaps, experiment schedules, datasets, evaluations, and GPU capacity while tracking benchmarks, risks, and handoffs between research and engineering.
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