of a seasoned Machine Learning Engineer possessing a profound inclination for innovation at the nexus of customer experience, deep... learning, and large-scale machine-learning systems. This role will spearhead the technical trajectory of ML solutions, working...
of services of Pottstown Recovery Learning Center and mentor and develop the staff working there. Program Managers are responsible... of recovery education classes and/or groups and activities. Develops and tracks outputs and outcomes for the Recovery Learning...
with customers in a friendly and professional manner and work to resolve issues quickly and effectively Use efficient learning... techniques to acquire and apply new knowledge and skills; use training, feedback, or other opportunities for self-learning...
Center 1 (19052), United States of America, McLean, Virginia Senior Machine Learning Engineer (Python, MLOPS...) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning...
- with a high relevance bar and strict latency constraints. We are looking for Machine Learning Engineers who are excited to build... the next-generation of Relevance Machine Learning systems and improve the search results for hundreds of millions...
human-centered AI, energy and materials, machine learning, and robotics. This is a Fall 2024 paid 12-week internship...
. Learning to Work (LTW) Program will provide services to 200-250 students, ages 16-21 who are over-aged for grade...
Applied Reinforcement Learning team is responsible for all reinforcement learning applications across Meta's Family of Apps... and Reality Labs. We conduct state-of-the-art industry research in reinforcement learning to bridge the gap between theoretical...
1.7 million New Yorkers today. The Learning to Work (LTW) for Transfer Schools Program will provide services to students, ages...
large-model machine learning platform to support the development and efficient iteration of large models for TikTok; 2... architecture modifications, computer vision, or multimodal large models. - Research experience in the field of machine learning...