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Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Senior Machine Learning Engineer - Physical AI and Synthetic Data Generation and Evaluation”. A match may be a passing mention rather than the job itself. Titles only.
22 roles across 23 listings · show every listing
…Architect Generative Pipelines : Develop and implement advanced image and video generation/editing/reasoning models to produce high-fidelity synthetic data for Physical AI applications…
…preserving machine learning, including synthetic data generation, anonymization, or differential privacy, and validating fidelity of transformed data - - Experience designing evaluation frameworks and metrics for…
…perception, and physical AI. Find areas where Cosmos models underperform or lack capability and recommend new solutions. These involve generating synthetic data, refining tuning…
…Machine learning for autonomous driving, robotics, simulation, synthetic-data generation, or other Physical AI applications. Distributed training across GPUs or nodes, CUDA optimization, or…
…Partner closely with software engineering, machine learning engineering, hardware teams, and product stakeholders to integrate AI capabilities into robotic systems and services. Evaluate and…
…Engineer with a passion for synthetic data generation and its application to training autonomous driving models of tomorrow. As part of NVIDIA's Physical…
…Learning paradigms applied to language or vision tasks ( focusing on improving System 2 thinking, logical deduction, and model alignment ). Demonstrated experience in Data Engineering…
…path planning, simulation, synthetic data generation, digital twins, edge inference, fleet learning, and warehouse automation. Assess which robotics and edge AI workloads are a…
…the core engineering team to build and maintain annotation tooling, implement active learning loops, and engineer synthetic data augmentation strategies - Develop evaluation frameworks to…
…build and maintain annotation tooling, implement active learning loops, and engineer synthetic data augmentation strategies - Develop evaluation frameworks that quantify system behavior and user…
…build and maintain annotation tooling, implement active learning loops, and engineer synthetic data augmentation strategies - Develop evaluation frameworks that extend beyond accuracy and CER…
…Data and Calibration team. We are searching for an engineer with robotics and machine learning expertise to develop synthetic sensor simulation models and algorithms…
…We are seeking an exceptional Senior Radar Perception Engineer to help design and productize NVIDIA’s next-generation autonomous driving perception stack. You will…
…Partner closely with software engineering, machine learning engineering, hardware teams, and product stakeholders to integrate AI capabilities into robotic systems and services. Evaluate and…
…and artificial intelligence and machine learning teams, and to drive consensus across organizational boundaries. Demonstrated ability to mentor and grow senior and principal engineers…
…to synthetic data generation, including noise simulation, Hamiltonian learning, or data augmentation for scientific AI models. Experience with large-scale model training and fine…
…evaluation, benchmarking, and diagnostics for NVIDIA Physical AI models, including world foundation models, world-action models, synthetic data generation systems, robotics, simulation, and embodied…
…physics parameter tuning, and visual domain adaptation, drawing on both classical and learned approaches. * Architect policy training pipelines that combine teleoperation data, synthetic demonstrations…
…Machine learning is revolutionizing this space, by enabling high-fidelity protein models. At Cradle, we offer a software platform for AI-guided discovery and…
…senior leadership. Develop a comprehensive hiring plan to staff and scale the AI team, including defining required roles (e.g., ML Engineers, Data Scientists…
…Leverage a combination of machine learning (ML) models and safety metrics from literature to evaluate the end-to-end driving behavior. Evaluate these metrics…
…large-scale distributed systems; data storage and processing systems; modern microservice architecture; machine learning, multithreading; x86 architecture; and software performance tuning and optimization, robotics…