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Job Responsibilities Design, develop, and deploy AI‑powered solutions. Build scalable AI systems and integrate AI / Machine Learning (ML) models into applications, optimizing AI workflows for production. Collaborate…
视频理解与时序语义建模 面向机器人操作、人与物交互及具身智能场景，研发视频理解和时序语义解析算法。 从视频及相关传感器数据中提取动作、目标、场景、状态和交互关系等关键信息。 研究长视频理解、时序动作定位、动作分段、动作识别及动作边界检测等问题。 针对连续操作、复合动作和多步骤任务，建立动作序列与技能语义表示。 探索视觉语言模型、视频语言模型、多模态模型及时序模型在具身智能数据理解中的应用。 动作与技能语义解析…
As an Applied Computer Vision Engineer focused on Data Driven Development, you will be a critical part of our feature team, responsible for building and scaling the infrastructure that powers our advanced perception…
Hume AI is looking for a systems-oriented engineer to own the path from trained model to production inference. Join us in the heart of New York City and contribute to our endeavor to ensure that AI is guided by human…
Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and…
Job Summary The role will focus on areas such as sensor-based presence detection, energy optimization, anomaly detection, predictive diagnostics, intelligent control, and edge AI deployment. Potential projects may…
This role is for one of our clients Compensation: $90-$120 per hour Join a leading AI lab's cutting-edge GenAI team and help build foundational AI models from the ground up. We're seeking MLOps Engineers with…
Company: Qualcomm Technologies, Inc. Job Area: Operations Group, Operations Group > Product Management General Summary: * Location: San Diego, CA (Preferred) or Santa Clara, CA * As a member of the Product…
Senior AI engineer at AMD designing and optimizing AI models and inference pipelines for autonomous systems — selecting/compressing models, GPU acceleration with ROCm/CUDA, and end-to-end performance profiling using tools like Nsight and TensorRT. Hybrid role based in San Jose or Austin.
Overview The Maia Model Enablement team owns the end-to-end technical work required to bring frontier AI models onto Microsoft's AI accelerators and make them successful in production. Our work spans model…
About Us: Havoc is a leader in all-domain collaborative autonomy. Its software-defined hardware approach powers military and commercial-grade autonomous systems across sea, air, and land to sense, decide, and act…
About the job FriendliAI is looking for a Director of Product to own the product strategy and evolution of our AI inference platform. As Director of Product Management, you will define how FriendliAI’s inference…
You design, implement, test, deploy, and maintain data- and model-centric systems that deliver production-grade ML functionality. Typical tasks span: Machine Learning Engineering Build end-to-end ML training pipelines…
About The Role At ARX Robotics, you will help advance the perception capabilities of next-generation unmanned ground vehicles. As a Staff Engineer – Robotics Perception, you will develop the systems that enable robots…
About The Role At ARX Robotics, you will help advance the autonomy stack of next-generation unmanned ground vehicles. As a Staff Engineer – Sensor Fusion & Localization, you will develop core state estimation and…
作为先进大模型安全体系的核心驱动力，负责构建覆盖“数据-训练-推理-应用”全生命周期的大模型安全防御体系。重点结合评测优先和内生安全等理念，从根本上设计并落地具备安全基因的大模型架构，对抗提示注入、越狱攻击、数据泄露及滥用等新型AI安全威胁，确保大模型在高风险业务场景下的可信、可控与合规。 【核心职责】 1. 安全评测体系建设 ●…
A hands-on lead role in Taipei: build and lead the Internal Tools team owning OV Pro Tools (OV Vault, OV Fleet, OV Train, OV Hub), turning them into a platform for deploying thousands of AI vision cameras, using React/TypeScript, Python backends, and LLM/GenAI features, with ~50% travel to customer factories in China.
The Senior Staff Machine Learning Engineer will lead the development and deployment of Edge AI models for in-vehicle health monitoring and failure prediction. This role involves managing the end-to-end ML pipeline, including model training, optimization for resource-constrained devices, and integration with vehicle systems.
The Staff Machine Learning Engineer will lead the development of Edge AI models for in-vehicle health monitoring and failure prediction. The role involves owning the end-to-end ML pipeline, including model training, optimization for resource-constrained devices, and deployment using technologies like PyTorch, TensorFlow, and C++.
Lead the ML/computer-vision team at Berry AI, which builds drive-thru analytics and loss-prevention platforms for quick-service restaurants. You own technical direction, mentoring, and hiring while staying hands-on across object detection, tracking, Re-ID, and edge deployment in Python/PyTorch on constrained edge hardware.
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