- Eliassen Group (Charleston, WV)
- …with extensive experience in building, evaluating, and deploying ML and neural network models in production environments. You'll collaborate cross-functionally ... machine learning, with 2+ years focused on deep learning and neural network applications. + Experience in Banking, Payments or Financial Services formulating… more
- quadric.io, Inc (Burlingame, CA)
- …unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge ... to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a… more
- quadric.io, Inc (Burlingame, CA)
- …unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge ... to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a… more
- quadric.io, Inc (Burlingame, CA)
- …unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge ... to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a… more
- General Motors (Mountain View, CA)
- …scalability, robustness, and safety-critical operation. + Champion innovation in neural network architectures, training methodologies, and inference optimization ... We leverage modern end-to-end machine learning approaches with sophisticated neural networks trained from large-scale driving data and using state-of-the-art… more
- Meta (Sunnyvale, CA)
- …tools for efficient ingestion of sensor data, scalable modal training and neural network architecture development, visualization of complex multi-modal sensor ... 8. Familiarity with modern machine learning algorithms, specifically Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), transformers,… more
- Walmart (Bentonville, AR)
- …have qualifications** + Deep understanding of optimization theory, the inner working of neural network , attention architecture + Proven track record of solving ... build large scale chat applications + Train large scale neural networks and deploy them as a automated batch...large scale business problems using neural networks utilizing distributed + Demonstrate ability of research… more
- Unlimit Ventures (San Diego, CA)
- …+ Deep learning expertise (knowledge of designing and implementing multiple neural network architectures, experience with transfer learning techniques, ... SciPy, etc.). + Understanding of a wide range of ML algorithms (SVMs, neural networks, clustering algorithms, etc.) and ensemble methods. + Experience with selecting… more
- Duolingo (Pittsburgh, PA)
- …and innovative work environment. + Contribute to the development and fine-tuning of large-scale neural network models, with a focus on agentic AI. + Collaborate ... research engineer, with extensive experience in developing, training, and fine-tuning large neural networks. On the security team, we're building AI systems to help… more
- General Motors (Mountain View, CA)
- …scalability, robustness, and safety-critical operation. + Champion innovation in neural network architectures, training methodologies, and inference optimization ... We leverage modern end-to-end machine learning approaches with sophisticated neural networks trained from large-scale driving data and using state-of-the-art… more