San Francisco, California17 days ago
p>Our founding team comes from the AI labs at Stanford and Carnegie Mellon and our board of directors include famed robotics and AI legends including Fei-Fei Li (Chief Scientist of AI at Google and Director of Stanford’s AI Lab), Marc Raibert (founder of Boston Dynamics), and Sebastian Thrun (founder of GoogleX, Waymo; Stanford Professor and considered the father of autonomous vehicles). About Nimble
Nimble is an AI robotics company building the autonomous supply chain to power fast, efficient and economical commerce.
Mountain View, CA29 days ago
From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.
Burlingame, CA30+ days ago
p>• Drive research on improved machine learning models for speech quality • Run computational experiments and report findings • Implement ML models that emulate aspects of human auditory perception • Develop next-gen audio quality models • Independently implement ML training pipelines, models, and evaluation frameworks • Regularly report on project progress, dependencies, and risks to stakeholders • Support research scientists and engineers within the team • Execute on applied coding tasks in support of the teams goals. The role requires independently implementing end-to-end ML pipelines, data preparation, model training, hyperparameter tuning, and evaluation using metrics like Mean Absolute Error (MAE), Pearson correlation, Signal-to-Noise Ratio (SI-DR), PESQ, and STOI.
Los Altos, CA30+ days ago
p>The Future Factory team in TRI''s Energy and Materials division focuses on developing cutting-edge tools and methods to accelerate change and increase flexibility and efficiency in Toyota''s product design and manufacturing, to speed the transition to an emissions-free world. As a researcher on the team, you will design and implement learning pipelines from scratch, run experiments to evaluate a wide range of architectural, data, and algorithmic choices, and help shape how we apply modern machine learning to the challenges of robotic assembly.