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Develop and maintain production ML/computer vision systems that sort thousands of batteries per hour using PyTorch and OpenCV, integrating with factory hardware while monitoring model performance and collaborating across engineering and manufacturing teams.
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 ML Engineer builds and optimizes high-performance inference engines for autonomous vehicle ML models, balancing real-time onboard constraints with offboard data center demands using frameworks like JAX, XLA, and CUDA.
Develops and optimizes real-time computer vision algorithms — target detection, tracking, sensor calibration, and pose estimation — for a software-defined weapon optic running on resource-constrained embedded (Qualcomm-based) hardware. Core stack is C++ and Python with edge inference frameworks; on-site in Costa Mesa, CA, and requires security clearance eligibility.
Builds and operates the large-scale GPU compute and data infrastructure behind Gatik's autonomous trucking stack: Kubernetes clusters optimized for GPU workloads, distributed training support (Ray, PyTorch), sensor-data pipelines, MLOps/model serving, and observability. Onsite 5 days a week 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.
Senior systems-focused AI engineer at Orca AI building and optimizing real-time computer vision pipelines on edge hardware (NVIDIA Jetson, Triton) that process live video from vessels for maritime collision prevention. Day-to-day work centers on profiling and tuning CPU/GPU/memory performance, deploying production CV models, and ensuring reliability in safety-critical conditions.
Senior ML engineer at OPSWAT (on-site in Timișoara) who leads the training, evaluation, deployment, and monitoring of machine learning models for cybersecurity and malware detection, while mentoring engineers and setting team ML standards. Core stack: Python, scikit-learn/TensorFlow/PyTorch, cloud (AWS), and MLOps practices.
Build and own AI/ML detection systems end-to-end: from data pipelines and model training to production deployment and telemetry, focusing on threat classification and adversarial robustness.
Mid-level Rust engineer at OPSWAT's Budapest Technology Office, building high-performance Rust components for on-prem, cloud, and hybrid products and helping the Data Science team wrap AI models into a unified SDK for Aether. Core stack: Rust/Cargo, Docker, CI/CD (TeamCity), with optional Tokio, ONNX Runtime, and AWS.
About CircuitHub CircuitHub is reshaping electronics manufacturing with The Grid, a factory-scale robotics platform that makes small-batch, high-mix electronics assembly radically more efficient. Think…
We are seeking a motivated and talented Embedded AI Software Engineering Intern/Co-op to join our team for the summer. As an intern, you will work on cutting-edge embedded AI and computer vision applications for mobile…
Develop real-time object detection and tracking models for UAV aerial video, optimizing inference pipelines for edge hardware like NVIDIA Jetson.
Designs and optimizes machine learning models for Cloudflare’s global inference platform, focusing on low-latency serving, reliability, and performance across GPUs and accelerators.
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…
Unlock your potential with Dassault Systèmes, a global leader in Scientific Software Engineering as an Applicative Data Scientist in Daegu, K o rea ! About the Role CATIA, a pioneer in 3D CAD and generative design, is…
𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟯𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟱𝟬𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟯𝟬-𝟱𝟬 𝗟𝗣𝗔) Experience: 1+ yrs Location:…
Enabler for smaller, more powerful, and energy-efficient microchips Working for tomorrow today. Around 80 percent of all microchips worldwide are produced using ZEISS technologies. As the centerpiece of every…
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