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.
Optimize AI/ML performance across Apple devices by benchmarking workloads, profiling hardware/software, and driving insights to enhance customer experiences.
Build and deploy deep-learning models for vision-based AI systems, focusing on pose, facial, and action recognition using CNNs, transformers, and embedding techniques.
About Sunset At its core, Sunset was founded to help founders. We started by supporting startups through shutting down, but we have since expanded into unlocking a new revenue stream for all types of businesses. In…
Optimize and deploy large language models for enterprise customers, tuning inference engines and post-training pipelines to meet performance targets.
Мы – сплоченная команда единомышленников, которая разрабатывает сервисы доставки с использование беспилотных технологий. Присоединившись к нам, вам предстоит принять непосредственное участие в развитии одного из самых…
Company: Qualcomm Middle East Information Technology Company LLC Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: About Us As a leading technology innovator, Qualcomm pushes the…
The Company: Faraday Future is a California-based technology company focused on the design, engineering, and development of intelligent, connected electric vehicles and related artificial intelligence–enabled…
Senior ML engineer builds NLP and computer-vision models to automate returns, disputes and call-center reviews for a large marketplace.
On-site engineer deploying and optimizing AI systems for regulated clients using Kubernetes, Docker, and AI-driven automation tools like vibe coding and agent swarms.
Build and deploy computer-vision models for early detection of eye diseases using TensorFlow/PyTorch on AWS, focusing on segmentation, detection, and explainable AI for global healthcare impact.
Build and maintain an AI/MLOps platform to deploy large language models and AI agents, optimize distributed training, and manage GPU clusters on public clouds.
Lead the design and development of AI-driven robotics systems for Dyson’s vacuum robots, focusing on perception, sensor fusion, and adaptive cleaning behaviors using C++/Python and ML frameworks.
Build and maintain data pipelines and ETL workflows for AI systems, integrate ML components, and optimize inference and RAG pipelines in Python.
Senior DevOps engineer builds and maintains Kubernetes-based infrastructure for AI (biometrics/Computer Vision) and blockchain products, automating deployments and ensuring high availability.
Build and optimize deep-learning models for autonomous-driving perception and planning, using PyTorch and model-efficiency techniques to speed up real-world deployment.
Build and deploy production AI systems for a global bio-resources company, including GenAI pipelines, document processing, and computer vision for industrial operations.
Own the AI inference performance roadmap at NVIDIA, turning deep optimization techniques into products that improve latency, efficiency, and cost per token across the inference stack for LLM deployments.
Develops and optimizes 2D traffic sign detection models for autonomous driving using PyTorch, TensorRT, and ONNX, from data curation to edge deployment.
Build and optimize scalable generative AI inference pipelines and APIs for Adobe’s Firefly suite, integrating models like diffusion transformers into Photoshop, Illustrator, and other products.
Build and own the shared AI platform that trains and serves Adobe’s generative AI products at global scale, focusing on GPU fleet utilization, model serving, and distributed systems for low-latency inference.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
