Description:
As a Machine Learning Research Engineer, you will be at the forefront of developing cutting-edge AI models for search. This is a highly technical role where you'll work on everything from training large-scale models to designing novel architectures that enhance search capabilities. You'll be part of a collaborative, forward-thinking team that thrives on solving some of AI's toughest problems.💼
What You’ll Do:
🔍 Train large-scale transformer models to improve search accuracy and efficiency.
🛠️ Build and optimize a reinforcement learning framework to advance search capabilities.
🚀 Innovate and design new AI architectures to push the limits of search technology.
🌐 Develop large-scale datasets to train and refine search models.
What We’re Looking For:
🌟 Experience developing and training large-scale machine learning models, especially transformers in NLP or search.
💻 Proficiency in PyTorch and deep learning frameworks with the ability to code models from scratch.
🧠 Understanding of advanced machine learning techniques like self-supervised learning and reinforcement learning.
💡 Passion for solving complex search and knowledge organization challenges.
Organization | Quantix Search |
Industry | Engineering Jobs |
Occupational Category | Machine Learning Research Engineer |
Job Location | San Francisco,USA |
Shift Type | Morning |
Job Type | Full Time |
Gender | No Preference |
Career Level | Intermediate |
Experience | 2 Years |
Posted at | 2024-10-17 12:49 pm |
Expires on | 2024-12-01 |