Research Engineer, Language - Monetization AI
Description For Research Engineer, Language - Monetization AI
Meta's Monetization Ranking AI Research organization is seeking a Research Engineer focused on Language AI to advance their advertising technology. This role combines cutting-edge AI research with practical applications in Meta's monetization systems.
The position involves developing large-scale language models and architectures, implementing advanced NLP techniques, and applying reinforcement learning to optimize advertising systems. You'll work on innovative solutions for data challenges using semi/self-supervised learning, generative techniques, and state-of-the-art language models.
As a Research Engineer, you'll collaborate with cross-functional teams to design and optimize ML systems, focusing on both theoretical advances and practical implementations that drive billions in revenue. The role requires expertise in Python programming and deep learning frameworks like PyTorch.
The ideal candidate will have strong research credentials, potentially including publications at top AI conferences, and experience translating research ideas into production systems. This position offers the opportunity to work on challenging problems at scale while contributing to Meta's core business objectives.
Meta offers comprehensive benefits including equity, bonuses, and competitive base compensation ranging from $70.67/hour to $208,000/year. The company provides a collaborative environment focused on advancing AI technology while maintaining work-life balance and professional growth opportunities.
Responsibilities For Research Engineer, Language - Monetization AI
- Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques
- Prioritize training scalability and signal scaling to optimize model performance
- Develop and apply NextGen sequence learning techniques for NLP
- Design and implement generative modeling solutions for data augmentation
- Research and develop graph-aware large language models
- Develop and deploy AutoML pipelines
- Apply Reinforcement Learning techniques
- Use causal learning to identify relationships across data
- Collaborate with cross-functional teams to design and optimize ML systems
- Develop innovative solutions for data-related challenges
Requirements For Research Engineer, Language - Monetization AI
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Experience holding an industry, faculty, or government researcher position
- Research experience in natural language processing, large language modeling, deep learning, reinforcement learning, recommendations, ranking, search, or related areas
- Programming experience in Python and hands-on experience with frameworks such as PyTorch
- Must obtain work authorization in the country of employment at the time of hire
Benefits For Research Engineer, Language - Monetization AI
- Equity
- Bonus
- Medical Insurance
- Dental Insurance
- Vision Insurance
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