Machine Learning Research Scientist
1 day ago
Transforming Search with AI
San Francisco Bay Area
$140k-$200k DOE + Equity
About Quantix Search
We're tackling one of AI's most complex challenges: building models that can search and organize the world's knowledge more effectively than ever before. Our innovative techniques in representation learning and search infrastructure allow LLMs to intelligently find relevant information.
The Role
As a Machine Learning Research Engineer, you'll be at the forefront of developing cutting-edge AI models for search. This highly technical role involves working on everything from training large-scale models to designing novel architectures that enhance search capabilities.
Key Responsibilities
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.
Requirements
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.
Bonus Points
Competitive programming or research experience is a plus.
Familiarity with massive datasets and distributed systems for scaling machine learning models.
Tech Stack
Rust, C, C++, Go, Python, CUDA
If you're interested in this role, we'd love to hear from you.
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