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.
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.
Senior ML engineer builds and deploys perception models for autonomous maritime vehicles, optimizing them for edge hardware and validating performance in real ocean conditions.
Senior Software Engineer at Stack AV developing online/offline mapping algorithms and ML/deep-learning systems for L4 self-driving trucks. Day to day: design, train, and optimize perception models (camera/lidar) for real-time, safety-critical onboard deployment using PyTorch, Python, C++, and TensorRT.
Senior/Staff engineer building the multi-modal perception stack for Gatik's Level 4 autonomous middle-mile trucks — designing object detection, tracking, and sensor-fusion components, training and evaluating models, and building large-scale training/inference infrastructure. Core tech: modern C++, Python, OpenCV, CUDA/TensorRT, Docker/Kubernetes, TensorFlow/PyTorch, on-site in Santa Clara, CA.
Builds and scales the AI infrastructure platform behind Gatik's autonomous trucking models: distributed multi-GPU training (PyTorch, Ray, H100/A100 clusters), MLOps lifecycle automation (MLflow, Argo, Kubernetes), AI-agent-driven ops, data pipelines, and observability. Onsite 5 days/week in Santa Clara, CA.
Gatik AI is hiring a Machine Learning Engineer (onsite, Santa Clara, CA) to own the full ML lifecycle for autonomous vehicle models — from data strategy and training through optimization and real-time deployment on vehicle hardware. Core work spans perception/prediction models, model compression (quantization, pruning), CUDA/TensorRT inference optimization, and scalable training/data pipelines in
Build and scale edge ML infrastructure for Hudl’s smart cameras, compiling models to hardware-specific inference engines and deploying them globally to tens of thousands of devices.
Technical Account Manager (TAM) at Alibaba Cloud in Beijing serving major internet key-account customers: owns enterprise AI Agent delivery (RAG, prompt engineering, multi-agent orchestration), LLM training/inference support on PAI, AI cloud-native stability and observability, and cloud architecture optimization on GPU compute.
A technical writer on CoreWeave's Knowledge Architecture team who writes and maintains internal documentation, runbooks, and onboarding content for Product and Engineering, managing content in Confluence and handling requests via Jira. Preferred background includes documenting cloud, Kubernetes, GPU, and AI/ML infrastructure.
The AI Teams at Agile Robots are looking for a Senior Machine Learning Engineer (m/f/d) Computer Vision for Robotics , who will design and train deep-learning models for visual servoing in precision robot manipulation.…
Multiverse Computing Multiverse is a well-funded, fast-growing deep-tech company founded in 2019. We are the largest quantum software company in the EU and have been recognized by CB Insights (2023 and 2025) as one of…
Develop real-time object detection and tracking models for UAV aerial video, optimizing inference pipelines for edge hardware like NVIDIA Jetson.
1. 负责AI模型以及大模型（LLM、VLM、VLA) 的部署和推理优化，结合AI软硬件特性实现优化计算和推理效率优化，包括但不限于多模型部署、KV Cache 管理、 Inflight Batching 等技术。 2. 在边缘AI上适配SOTA开源框架和SOTA模型，分析解决适配过程中发现的功能、性能与精度问题，为客户提供问题支持和解决方案。 3. 深入挖掘边缘AI软件栈和系统性能瓶颈，提出软硬件的加速解决方案。 1.…
Ozon Банк — компания, в которой тесно переплетаются финансы и IT. Мы создаём новые для рынка продукты и сервисы для физических и юридических лиц. Гордимся атмосферой в командах: каждый сотрудник может влиять на…
О нас Мы делаем голосовой AI для бизнеса. Наши модели каждый день разговаривают с абонентами в реальном времени. Мы резиденты «Сколково» и никогда не останавливаемся на достигнутом. Мы трансформируемся в AI-native…
Центр изучения и сетевого мониторинга молодёжной среды – аккредитованная IT-компания , созданная по поручению Президента России в 2018 году. Наша миссия – разработка социально значимых технологических решений для…
FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI…
We couldn't check your fit for this role — add a CV to your profile to see it next time.
