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Senior Machine Learning Engineer
Build and deploy production-grade LLM systems for an AI-native education platform, including RAG pipelines and agentic workflows to power adaptive learning and automated Q&A at scale.
Lead AI Engineer
𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟯𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟳𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟯𝟬-𝟳𝟬 𝗟𝗣𝗔) Experience: 8+ yrs Location:…
AI Systems Software Engineer - Neuromorphic Computing
Job Details: Job Description: About the Organization As part of Intel's CTO Office, you will join a vertically integrated incubation effort dedicated to bringing Intel's neuromorphic technology innovations to…
AI Software Engineer Level 3 or 4 (AHT)
RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible…
Staff Machine Learning Engineer, LLM Quantization & Deployment
Build and deploy optimized large language models for autonomous vehicles, focusing on quantization (PTQ/QAT), inference pipelines, and performance benchmarking on XPENG’s Turing AI chip.
Senior Machine Learning Engineer
Build and deploy quantized large language models for autonomous-vehicle inference, focusing on PTQ/QAT, mixed-precision, and runtime integration with PyTorch and TensorRT-LLM.
Senior AI/ML Engineer
Build and deploy AI/ML models for vision, audio, and language tasks using PyTorch/TensorFlow and cloud MLOps tools.
Senior Software Engineer, Robotics & Physical AI Integration
Own the integration layer between AI/ML models and physical robotics systems, implementing ROS 2 nodes, industrial fieldbus protocols, and real-time control loops to bridge model inference with hardware like motion controllers and actuators.
Senior Machine Learning Engineer, Physical AI
Owns the full ML lifecycle for physical AI, from sensor data pipelines to deploying optimized models on constrained hardware, collaborating with embedded teams to ensure reliability and performance in real-world devices.
Senior Software Engineer - Low-Level Systems, Compilers & Embedded AI
Build low-level compilers, runtimes, and AI/DSP optimizations for next-gen hardware in C++/Python, working closely with hardware teams.
Machine Learning Engineer
Build and deploy AI models for smart kitchen appliances, focusing on computer vision and embedded systems to enable autonomous cooking experiences.
AI Engineer – Model Training & Deployment
Build and deploy deep-learning models for industrial robotics, training vision and control models to run on real robotic work cells in factories.
Senior AI Platform Engineer
Design and run Absa’s multi-cloud AI platform (AWS Bedrock, Databricks, Azure AI Foundry) that powers 43 live AI projects across ten countries, focusing on FinOps, zero-trust security, agentic AI infrastructure, and enterprise-grade observability.
AI Platform Engineer (Cloud)
Build and run a secure, multi-cloud AI platform for a bank, deploying services on AWS Bedrock, Databricks, Azure AI, Hugging Face and Kubernetes while optimizing costs, security and observability for enterprise-scale AI workloads.
AI Platform Engineer (Cloud)
Build and run Absa’s multi-cloud AI platform, deploying services on AWS Bedrock, Databricks AI, Azure AI Foundry, Hugging Face and Kubernetes while ensuring security, cost control and observability for enterprise AI workloads.
Senior AI Platform Engineer
Design and run Absa’s multi-cloud AI platform (AWS Bedrock, Databricks, Azure AI Foundry) that powers 43 live AI projects across ten countries, including FinOps, zero-trust security, and agentic AI infrastructure.
Senior AI/Computer Vision Engineer
Build and deploy AI/computer-vision systems end-to-end, from data pipelines and model training to C++ edge integration and production validation.
[인턴] [NetsPresso] R&D AI Engineer (Quantization팀)
Research and implement model quantization algorithms to optimize AI models for on-device deployment using PyTorch, ONNX, and related tools.
[인턴] [NetsPresso] R&D AI Engineer (Model Representation팀)
R&D intern on Nota’s AI team optimizing models for deployment on edge devices using PyTorch, ONNX, and frameworks like ExecuTorch/TensorRT.
[인턴] [NetsPresso] R&D AI Research Engineer (XPU Enabler팀)
Research and develop quantization, pruning, and inference optimizations for LLM/VLM and MoE models to run efficiently on GPUs and NPUs.