Monetization AI Research Scientist — CoreML & LLMs

Meta; San Francisco (CA); On-site; USD 154,000 - 217,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta's Monetization AI Research organization in San Francisco is seeking an AI Research Scientist to advance SOTA research across our monetization stack, including ranking, retrieval, model architecture, and optimization for ads.

You will design and implement large-scale model architectures, scale training, explore RL/RLHF and causal learning, and collaborate with hardware-software co-design experts to improve performance and efficiency.

Qualifications

• PhD in Computer Science, AI, or related field.
• Experience as researcher in industry, academia, or government.
• Publications in ML/AI or related fields.
• Proficient in Python with PyTorch.

Responsibilities

• Develop and implement large-scale model architectures for monetization using ranking, retrieval, and optimization techniques.
• Prioritize training scalability and signal scaling to improve model performance and efficiency.
• Apply NextGen sequence learning and generative modeling for data augmentation.
• Research graph-aware large language models and AutoML pipelines.
• Collaborate with cross-functional teams to optimize ML systems and resource efficiency.

Skills

Python

PyTorch

NLP

Deep learning

Reinforcement learning

Rankings/Recommendations

Education

PhD in Computer Science / AI / related field

Bachelor's degree in CS / Computer Engineering or related field

Tools

PyTorch

Job description

Meta's Monetization AI Research organization in San Francisco is seeking an AI Research Scientist to advance SOTA research across our monetization stack, including ranking, retrieval, model architecture, and optimization for ads.

You will design and implement large-scale model architectures, scale training, explore RL/RLHF and causal learning, and collaborate with hardware-software co-design experts to improve performance and efficiency.