21 of 21 ONNX Jobs

model results. • Demonstrated experience with verification and validation test benches. • Demonstrated experience with Explainable AI (XAI) techniques. • Demonstrated experience with Open Neural Net Exchange (ONNX). More ❯

NLTK, spaCy, or Hugging Face Transformers. Familiarity with time-series databases and analysis tools. Knowledge of AI model serving frameworks like TensorFlow Serving or ONNX Runtime. Experience with AI ethics and bias mitigation techniques. Familiarity with GPU acceleration and distributed computing for AI workloads. Why Join warpSpeed: Career Growth and More ❯

cloud service (AWS, GCP, Azure etc.) Nice to Have Hands-on experience with autonomous driving systems Experience with model deployment with NVIDIA stack (e.g. ONNX graphs, TensorRT, profiling) Familiarity with recent breakthroughs in ML (e.g. foundation models, pre-training and efficient fine-tuning, multimodal Transformer architectures) Knowledge of autonomous driving More ❯

models with wearable data (e.g., continuous heart rate, motion, respiration). Exposure to embedded AI or edge model deployment (e.g., TensorFlow Lite, Core ML, ONNX). Knowledge of healthcare data privacy and security (e.g., HIPAA, GDPR). Familiarity with GMLP (Good Machine Learning Practice) and clinical evaluation frameworks. The successful More ❯

understanding of docker and containerization. (Good to have) Experience with Pytorch and Python3, and comfortable with C++. (Good to have) Understanding of Torch script, ONNX runtime, TensorRT. (Good to have) Understanding of half-precision inference and int8 quantization. What we offer Company equity % in an early-stage startup. More ❯

understanding of Docker and containerization. (Good to have) Experience with Pytorch and Python3, and comfortable with C++. (Good to have) Understanding of Torch script, ONNX runtime, TensorRT. (Good to have) Understanding of half-precision inference and int8 quantization. What we offer Company equity % in an early-stage startup. More ❯

and PyTorch. Hands-on experience with data pre-processing, feature extraction, and model optimization. Experience with edge computing and model deployment (e.g., TensorFlow Lite, ONNX Runtime). Strong problem-solving skills and ability to work independently or as part of a team. Excellent communication skills, both written and verbal. Commitment More ❯

fusion concepts and real-time data synchronization across sensors. Experience integrating or optimizing AI/ML models on embedded edge devices (e.g., TensorFlow Lite, ONNX on Jetson, Coral, or NPU-based SoCs). Basic knowledge of embedded Linux platforms (Yocto, U-Boot, kernel-level familiarity as needed). Proficiency in More ❯

communicating methodological choices and model results. • Demonstrated experience with verification and validation test benches. • Demonstrated experience with Explainable AI (XAI) techniques. • Demonstrated experience with ONNX (Open Neural Net Exchange) Salary Range: $150,000-$200,000 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex More ❯

optimization. Benchmark, analyze, and improve AI workload performance. Collaborate with the hardware team to guide architectural decisions. Extend support to additional frameworks (e.g., TensorFlow, ONNX). Produce developer documentation and resources. Requirements: 5+ years of experience in AI/ML software development. Deep understanding of PyTorch internals and other major More ❯

of: CUDA, OpenCL, HIP, SYCL Knowledge of deep learning algorithms Interested in optimising tough linear algebra equations Knowledge of AI framework internals (PyTorch, TensorFlow, ONNX etc) Full details are available. Please don't hesitate to get in touch with max@ platform-recruitment. com to learn more. More ❯

Have proven hands-on experience of complex analytics at scale for example in the areas of IoT and sensor data. Understand the PMML and ONNX model portability standards. Have experience with Teradata partner's analytical products, Cloud Service providers such as AzureML and Sagemaker and partner products such as Dataiku More ❯

practices. PREFERRED EXPERIENCE & SKILLS Strong Computer Science fundamentals and problem-solving skills. Strong understanding of applied machine learning using current ML Frameworks: Pytorch, Tensorflow, ONNX, CNTK, R, etc.; Exposure to C/C++, Go, Rust a plus. Good understanding of multi-core compute hardware and device driver fundamentals. Good knowledge More ❯

Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) We have several exciting new positions available for Machine Learning Engineers to join a forward-thinking AI company. This is your opportunity to … Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) This is your chance to contribute to an innovative, technically demanding project focused on developing a cutting-edge machine learning application from the More ❯

Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) We have several exciting new positions available for Machine Learning Engineers to join a forward-thinking AI company. This is your opportunity to … Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) This is your chance to contribute to an innovative, technically demanding project focused on developing a cutting-edge machine learning application from the More ❯

Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) We have several exciting new positions available for Machine Learning Engineers to join a forward-thinking AI company. This is your opportunity to … Flask (for building APIs), FastAPI, Docker, MLflow, DVC (Data Version Control), AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform, TensorFlow Serving, ONNX (Open Neural Network Exchange) This is your chance to contribute to an innovative, technically demanding project focused on developing a cutting-edge machine learning application from the More ❯

Riverside Overview Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical More ❯

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we More ❯

or MLIR Work with hardware teams to ensure the software stack fully leverages the capabilities of our OTPU architecture Extend ML frameworks (e.g. PyTorch, ONNX, OpenXLA) to better support performance-critical inference paths Lead design reviews, mentor engineers, and promote best practices in HPC and performance engineering Stay on the … applications Hands-on experience with ML compilers (e.g. LLVM, MLIR), and knowledge of runtime and scheduling optimisations Practical knowledge of ML frameworks like PyTorch, ONNX, or OpenXLA, and how to optimise their execution Experience scaling AI workloads across clusters or custom infrastructure—not just deploying on standard cloud setups Strong More ❯

or MLIR Work with hardware teams to ensure the software stack fully leverages the capabilities of our OTPU architecture Extend ML frameworks (e.g. PyTorch, ONNX, OpenXLA) to better support performance-critical inference paths Lead design reviews, mentor engineers, and promote best practices in HPC and performance engineering Stay on the … applications Hands-on experience with ML compilers (e.g. LLVM, MLIR), and knowledge of runtime and scheduling optimisations Practical knowledge of ML frameworks like PyTorch, ONNX, or OpenXLA, and how to optimise their execution Experience scaling AI workloads across clusters or custom infrastructure—not just deploying on standard cloud setups Strong More ❯

to measure and optimize model performance - Build robust monitoring solutions to ensure reliable model serving at scale - Explore and evaluate emerging optimization techniques including ONNX Runtime and other ML compilers - Maintain high engineering standards through proper testing, documentation, and code review practices A day in the life - Optimize transformer blocks … Track record of optimizing ML models for production PREFERRED QUALIFICATIONS - Expertise in NVIDIA's ML stack (cuDNN, CUDA Graph, etc.) - Experience with ML compilers (ONNX Runtime, TVM, etc.) - Experience with transformer model optimization - Background in performance profiling and optimization - Experience working directly with research teams - Track record of building robust More ❯