Research Engineer, Core ML - Monetization AI

Meta; Sunnyvale (CA); On-site; Full time

Job summary

An innovative firm is seeking a Research Engineer specializing in Core ML and Monetization AI. This role involves developing cutting-edge AI models and optimizing machine learning systems to enhance user experience and advertiser value. Join a dynamic team focused on advancing AI technologies and contributing to impactful projects that shape the future of social technology. If you have a passion for research and a strong background in deep learning and NLP, this opportunity is perfect for you. Be part of a collaborative environment that fosters creativity and innovation in AI.

Qualifications

• Research experience in deep learning, reinforcement learning, NLP, or related fields.
• Programming experience in Python and frameworks like PyTorch.

Responsibilities

• Develop and implement large-scale model architectures for AI applications.
• Collaborate with teams to design and optimize ML systems.

Skills

Deep Learning

Reinforcement Learning

Natural Language Processing

Computer Vision

Python Programming

PyTorch Framework

Model Optimization

Generative Modeling

Education

Bachelor's in Computer Science

Master's or PhD in Computer Science

Job description

Research Engineer, Core ML - Monetization AI

Join to apply for the Research Engineer, Core ML - Monetization AI role at Meta.

This role offers a salary range provided by Meta, with actual pay based on skills and experience. Discuss with your recruiter for more details.

Base pay range

$56.25/hour - $173,000/year

About the team

We are the Monetization Ranking AI Research organization, focused on delivering personalized ads that maximize user utility and advertiser value. We advance AI and ML technologies in ranking, retrieval, model architecture, and optimization, contributing significantly to Meta’s revenue. We seek motivated AI specialists to join us and push state-of-the-art research.

Responsibilities

• Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques.
• Optimize training scalability, signal scaling, and model performance for efficiency and reliability.
• Apply NextGen sequence learning techniques to natural language processing and understanding.
• 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, including long-term value optimization, RLHF, and RL4Reason.
• Use causal learning to analyze cause-and-effect relationships in data.
• Collaborate with cross-functional teams to design and optimize ML systems, focusing on hardware-software co-design, quantization, compression, and resource-efficient AI.
• Innovate solutions for data challenges using semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models.

Minimum Qualifications

• Research experience in deep learning, reinforcement learning, NLP, computer vision, recommendations, ranking, search, or related fields.
• Experience in an industry, academic, or government research role.
• Programming experience in Python and frameworks like PyTorch.
• Work authorization in the country of employment at hire and ongoing.
• Currently pursuing or having completed a Bachelor's degree in Computer Science, Engineering, or a related field prior to joining Meta.

Preferred Qualifications

• Master's or PhD in Computer Science, AI, ML, or related fields.
• First-author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ACL).
• Experience translating research into production.
• Strong cross-functional teamwork and communication skills.
• Ability to solve complex problems, evaluate solutions, and consider trade-offs.

About Meta

Meta develops technologies to connect people, foster communities, and grow businesses. From Facebook to immersive AR/VR experiences, we aim to shape the future of social technology. We are an Equal Employment Opportunity employer committed to diversity and inclusion. We provide reasonable accommodations for candidates with disabilities. Learn more about benefits at Meta.