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At River AI, our mission is to create personal AI owned and shaped by each individual. To achieve this, we are rewriting the entire stack from scratch: personal hardware for local inference, custom training…
Build and maintain AI data pipelines, ETL workflows, and integrate ML components into production systems, focusing on model inference and RAG optimization.
Build and deploy AI models: clean datasets, train neural networks, convert models to APIs, and integrate them into apps and cloud systems.
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major…
Principal engineer optimizing AI/ML compilers and runtime for AMD GPUs, focusing on MLIR/LLVM transformations and ONNX operators to accelerate training and inference workloads.
Principal Engineer designs and leads backend infrastructure for Encord’s AI data platform, building scalable distributed systems and APIs that power model training and evaluation at scale.
Build and deploy real-time Vision AI and edge-inference systems using PyTorch/TensorFlow, ONNX/TensorRT, and NVIDIA stacks for object detection, video analytics, and multimodal models.
Build and integrate computer-vision models into client stacks using PyTorch, OpenCV, and Gradio; prototype cutting-edge algorithms and ship them in Datature’s MLOps platform.
Build and scale the ML infrastructure powering ByteDance’s global ad, search, and e-commerce ranking systems using C/C++, CUDA, Python, and frameworks like TensorFlow/PyTorch.
Backend engineering intern building scalable recommendation infrastructure using multi-modal content processing, vector retrieval, and RAG systems in Python/C++.
Build and optimize low-latency, high-throughput ML inference services for CTR/CVR prediction and generative recommendation using LLMs, focusing on GPU acceleration and end-to-end pipeline optimization.
Build and optimize a LiDAR/SLAM pipeline in C++ for point-cloud processing, design AWS-based cloud pipelines, and develop FastAPI backends and JavaScript UIs for spatial-data tools used by architects.
Build and optimize distributed ML training/inference pipelines for low-latency trading systems using PyTorch, CUDA, and GPU acceleration.
Build open-source developer tools in Go to streamline Linux-based workflows, containers, and cloud integration for engineers using Ubuntu.
Lead the design and deployment of AI/ML solutions using Azure ML, OpenAI APIs, and Generative AI for computer vision tasks like object detection and retail shelf analysis.
Senior software engineer designing and implementing high-performance signal processing algorithms for radar and sensing systems using C++, Python, and MATLAB.
Senior ML engineer building perception systems for autonomous maritime robots using computer vision, sensor fusion, and real-time ML pipelines.
Senior DevOps ML Engineer builds and runs AI platforms, splitting time between GPU-accelerated Kubernetes, backend services, and MLOps to productionize LLMs and digital avatars.
Stereolabs est pionnier mondial des solutions de vision 3D, transformant la robotique et l'industrie 4.0. Grâce à nos innovations en vision par ordinateur, IA et hardware, nous permettons aux machines de comprendre…
Build and operate sovereign AI infrastructure for government clients, deploying GPU clusters in air-gapped data centers and cloud (Azure/GCP) using Kubernetes, GitOps, and offline artifact pipelines.
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