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Type of Requisition: Regular Clearance Level Must Currently Possess: Top Secret SCI + Polygraph Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: None Job Family: Data Science and Data…
Staff deep learning engineer on Shield AI's Hivemind SDK State Estimation & Vision team, building learned components for GPS-denied vision-based navigation of autonomous aircraft. Day to day: develop and evaluate PyTorch models (feature matching, depth, pose, image-to-map localization), own data and training pipelines, and integrate with geometric state estimation.
At AMD in Markham, Ontario, this AI Models Software Engineer role focuses on researching and implementing methods to optimize and accelerate Generative AI models — including quantization, sparsity, and parallelism strategies for efficient training and inference — collaborating across teams using Python and deep learning frameworks like PyTorch, JAX, ONNX, and TensorFlow.
Develop and optimize deep learning models for autonomous truck perception, mapping, and planning using PyTorch, collaborating with cross-functional teams to integrate solutions into production pipelines.
Designs and leads the embedded OS architecture for AI-first consumer electronics, shaping kernel, middleware, and platform strategy across product lines from prototype to mass production.
Senior engineer on Microsoft's Windows AI Platform team building the Windows ML MLIR platform: production compiler and runtime components that optimize ML model execution across CPU, GPU, and NPU hardware (graph compilation, scheduling, memory, performance). Core stack: C++, MLIR/LLVM, ONNX Runtime-class technologies.
Designs, develops and maintains embedded C/C++ and Python software for DeepSea's IoT data-acquisition systems and onboard edge devices installed on ships worldwide — including a Yocto-based embedded Linux distribution, marine/industrial protocol integrations, secure OTA updates, and edge data pipelines. Based in Athens with a hybrid option.
Builds and ships AI agent features for CHILI publish's cloud content-automation platform used by brands and agencies: multi-step tool-calling agents, evals/benchmarks, retrieval pipelines, and production ownership with TypeScript/Python (Node/FastAPI, React) and LLM tooling. Hybrid — at least 2 days/week at the Aalst, Belgium HQ.
An AI engineer who deploys and integrates computer vision models onto edge devices, GPU systems and AI platforms (NVIDIA Jetson, TensorRT, ONNX), building real-time video processing apps that pull streams from IP cameras/NVRs and connect results to APIs, databases, dashboards and alarm systems. Core stack: Python, OpenCV, Linux.
Researches and implements 3D machine learning models to generate and verify CAD models for engineering tasks, using PyTorch, diffusion models, and 3D libraries.
Develops AI-driven backend services and agent orchestration systems for edge-cloud integration, focusing on LLMs, tool use, and real-time inference while collaborating with researchers and engineers.
When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people…
This is a remote position. We represent a technology player whose digital banking platform is transforming financial services in emerging markets making a real impact by embedding credit and savings products into the…
A senior NPU architect at Samsung's SoC Architecture Lab who defines next-generation NPU subsystem architectures for Galaxy chipsets, doing early-stage architectural exploration, cycle-accurate performance/power modeling, and hardware-software co-optimization. Core work spans Python/C++/SystemC modeling, ML workloads (CNNs, LLMs via TensorFlow/PyTorch/ONNX), and SoC microarchitecture.
A senior hands-on NPU architect at Samsung's SoC Architecture Lab defining NPU subsystem architecture, performance/power tradeoffs, and hardware-software co-optimization for next-generation Galaxy smartphone SoCs. Core tech: NPU/SoC microarchitecture, cycle-accurate modeling in Python/SystemC/C++, and ML frameworks like TensorFlow, PyTorch, and ONNX.
Senior Machine Learning Engineer at Nexxen (adtech, DSP/SSP) building applied ML infrastructure for real-time ad scoring, ranking, and bid optimization. Day-to-day is hands-on development of large-scale, high-performance services with data scientists, using Java, Python, Scala, TensorFlow/PyTorch, and Spark.
Lead the AI inference and optimization layer for agentic workflows, tuning models and runtimes for latency, throughput, and memory efficiency on real hardware within a cloud security company.
Hands-on Senior ML Engineer on a 5-person data science team at Oschadbank, designing and productionizing propensity models (custom PyTorch ensembles, XGBoost/LightGBM) for credit, card, and deposit products, with upcoming LLM work (fine-tuning, RAG). Stack: Oracle/ClickHouse, Feast, Airflow, MLflow/DVC, Docker, GitLab CI.
About Wabtec Corporation Wabtec Corporation is a global leader in rail technology, delivering innovative equipment, systems, and digital solutions that drive progress in freight and transit rail. With a legacy spanning…
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