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Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric…
Line of Service Advisory Industry/Sector FS X-Sector Specialism Operations Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced…
Job Title: AI Platform Engineer Location: PAN India ( remote) Timings :11 am to 8pm Job Summary This is a hands-on build role on a new team. PairSoft is standing up a central AI services platform that will be consumed…
The application window is expected to close on: 10/04/2026 This is a hybrid role based out of Cisco's San Jose office. Meet the team Cisco’s AI Software & Platform team (AISWP) is the heartbeat of Cisco’s AI…
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About Thinking Machines The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and…
Get to Know the Team The Fulfilment Tech Family builds the systems that power Grab's marketplaces across Southeast Asia. We design real-time, distributed systems and Machine Learning (ML) solutions that process…
About Pelico Traditional industrial manufacturing systems were built for predictability. Supply chains no longer are. Today, real-time data is buried in legacy tools that weren't designed for constant disruption.…
Join our Team About the opportunity Ericsson’s Service Architecture team, within Service Management in the Operate Service Line, is building intelligent automation and decision-support systems for telecom-scale…
The Deep Learning Solution Architect will drive the development and optimization of reinforcement learning and post-training frameworks for LLMs and multimodal models, providing technical guidance to customers on NVIDIA's AI platforms.
NVIDIA is seeking talented Deep Learning Scientists / AI Researchers / Machine Learning Engineers to join our rapidly growing AI Safety and Responsibility efforts for Enterprise Risk Management. In this role, you will…
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce…
Design and implement RL and agentic systems that search over massive program spaces to optimize GPU kernels for a high-performance compute compiler, using PyTorch/JAX, LLM agents, and real-hardware reward signals.
The AI Engineer will build and maintain an agent platform for NewsBreak, focusing on orchestrating agent runtimes, designing evaluation harnesses, and managing context engineering. This role involves end-to-end development of AI-driven features using Python, React, and modern AI development tools.
Design, build, and evaluate ML systems for AI safety and model evaluation applications, including reinforcement learning, LLMs, and multimodal systems, using Python and frameworks like PyTorch or JAX.
淘天营销算法团队作为淘系核心的算法团队,致力于将大语言模型与电商营销场景深度融合,驱动从商品供给到前台推荐全链路的智能化升级,服务业务包括营销产品(聚划算、天天特卖、百亿补贴、有好价等)、大促活动(618、双十一、双十二等)等淘系核心场景。 具体职责包括但不限于: 1、研究大语言模型在电商营销场景的 Agent 规划与决策算法,探索 LLM…
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity,…
Research and develop post-training methods (RLHF, SFT, PEFT, reward-based optimization) for Enchant, Iambic's large multimodal transformer model used in drug discovery, using Python and PyTorch at scale.
Research and develop post-training methods for a large multimodal transformer model (Enchant) in drug discovery, focusing on fine-tuning, reinforcement learning, and evaluation frameworks to advance AI-driven therapeutic development.
This role involves building an agent evaluation platform to measure and improve AI agent performance through calibrated judges and reward models. You will design rubrics, calibrate against human labels, and develop methodologies to train agents using LLM-based evaluation.
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