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Research Engineer, Monetization AI
Meta
Sunnyvale, USA
Full-time
Mid
Hybrid
USD 183997-257000 yearly / year
Discovered 1 weeks ago
PythonPyTorch
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Responsibilities
- Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques
- Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability
- Develop and apply NextGen sequence learning techniques to drive advancements in recommender systems and machine learning
- Design and implement generative modeling solutions for data augmentation
- Develop and deploy machine learning pipelines
- Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI, to drive performance improvements and efficiency gains
- Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Research experience in machine learning, deep learning, natural language processing, and/or recommender systems
- Experience with developing machine learning models at scale from inception to business impact
- Programming experience in Python and hands-on experience with frameworks such as PyTorch
- Exposure to architectural patterns of large scale software applications
Preferred Qualifications
- PhD in AI, Computer Science, Data Science, or related technical fields
- Master's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
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