Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Designs, develops, and deploys production computer-vision/ML solutions for retail at Everseen — owning ML components, running and presenting experiments, and moving models from research to production using Python, C++/CUDA, PyTorch, OpenCV, and Docker/Kubernetes on real-time video pipelines.
Designs, develops, and deploys production AI/ML and computer-vision systems for Everseen's retail vision-AI platform, leading R&D, owning major components, coaching teammates, and moving research prototypes into real-time video production. Stack: Python, C/C++, CUDA, PyTorch, OpenCV, TensorRT/ONNX, Docker/Kubernetes.
Designs, develops, and deploys production AI/ML and computer-vision systems for Everseen's retail vision AI products, independently owning ML components from research to latency-sensitive deployment. Core stack: Python, PyTorch, OpenCV, TensorRT/CUDA, and Docker/Kubernetes for real-time video processing.
Leads performance tuning, deployment, and resource scheduling of AI models across on-vehicle and cloud infrastructure for DiDi's autonomous driving unit — building low-latency inference pipelines and LLM serving environments. Core stack: C++, Python, CUDA, TensorRT, ONNX Runtime, and LLM frameworks like vLLM on NVIDIA GPUs.
Builds and owns the AI infrastructure behind Heidi's clinical AI products: model-serving pipelines, GPU cluster scheduling, inference performance tuning, and production reliability for LLMs at scale, partnering with researchers and platform engineers. Stack includes Kubernetes/Slurm, serving engines like vLLM, and Python plus systems languages.
В 2026 году Московской бирже исполнилось 34 года. Мы появились вместе с современной Россией и за эти годы с нуля создали рынок инвестиций. Сегодня миллионы людей и тысячи компаний доверяют нам и пользуются нашей…
Senior/Principal AI engineer at team.blue building the AI layer across its hosting/domains/SaaS ecosystem: architecting multi-agent orchestration and voice AI pipelines (STT/TTS, RAG), fine-tuning LLMs, owning observability, MLOps and CI/CD, and mentoring engineers. Core stack: Python, PyTorch, HuggingFace, vLLM, Langfuse.
Technical lead for LLM work at Social Discovery Group: speed up and scale LLM inference in production (SGLang, vLLM, distributed multi-GPU/multi-node setups), benchmark GPU hardware, train and fine-tune models, and guide the NLP and CV teams while staying hands-on with PyTorch.
Develops and optimizes C++ video-processing algorithms for embedded drone systems, working with computer vision and high-performance computing on Linux-based platforms.
At Mentee Robotics, we are redefining humanoid automation with an AI-first approach - combining perception, reasoning, and dexterous manipulation into fully autonomous systems that continuously learn and improve. We…
Algorithm engineer/expert in Alibaba's Group Security team applying large language models to data security: fine-tuning open-source LLMs (SFT/RL), building training data pipelines, using NLP for privacy protection (NER, classification), and landing RAG/Agent tech. Core stack: Python, PyTorch, Pandas/Spark/SQL, LangChain.
Alibaba Cloud's data-center intelligent ops team in Hangzhou is hiring an algorithm engineer to build a digital-twin-based predictive maintenance (PHM) system for IDC equipment (generators, UPS, chillers, HVAC). Daily work spans anomaly-detection and fault-prediction algorithm R&D on sensor time series, and edge/cloud inference deployment and operations.
TYTAN Technologies The PACE is fast. The expectations are high. The contribution matters. Working at TYTAN is more than a job, this is a mission. We push boundaries, think big, and hold ourselves to the highest…
1321_Autonomous Driving Software Engineer, Industrial & Off-road Mobility 仕事概要 【背景】 TIER…
NVIDIA is at the forefront of the generative AI revolution! The Algorithmic Model Optimization Team focuses on optimizing generative AI models such as large language models (LLMs), vision-language models (VLMs), and…
Job Details: Job Description: Join Intel's Datacenter and AI Software Ecosystem Engineering team to help accelerate the deployment and optimization of Generative AI solutions. This internship focuses on evaluating,…
Company Description Chooch helps build and run the best Computer Vision AI applications that make cameras intelligent, enhancing productivity & revenues, while reducing operational costs. Chooch has been named a…
The application window is expected to close on: 10/29/2026 Meet the Team Cisco's Enterprise AI Platforms & Infrastructure (EAIPI) organization is establishing a Physical AI and Common Services engineering field…
Designs, scales, and optimizes the GPU infrastructure behind large-scale generative AI/ML models in production — building NVIDIA GPU clusters for training and low-latency inference with Triton, vLLM, and TensorRT. Core stack: PyTorch, CUDA, Kubernetes/Docker, AWS/GCP, and Terraform, in a hybrid/on-site role in New York or San Francisco.
Own the perception and edge AI stack at a defence-tech startup: train computer vision and multimodal models for detection, tracking and segmentation, manage the data pipeline, and optimize and deploy models on edge hardware (Jetson, ARM) for systems that run in real field scenarios.
We couldn't check your fit for this role — add a CV to your profile to see it next time.