Research Engineer, Monetization AI

Lensa; Sunnyvale (CA); On-site; USD 70,000 - 208,000; Full time

Job summary

A leading company is seeking motivated AI specialists for its Monetization Ranking AI Research organization in Sunnyvale, CA. You will work on cutting-edge AI and ML technologies to enhance personalized ads. Successful candidates will possess strong research skills and relevant programming experience.

Qualifications

• Minimum 2 years in a research or applied role.
• Experience in deep learning, NLP, and RL.
• Strong programming skills in Python.

Responsibilities

• Develop and implement large-scale AI model architectures.
• Design generative modeling solutions for data augmentation.
• Collaborate with teams on machine learning system optimization.

Skills

Deep Learning

Reinforcement Learning

Natural Language Processing

Computer Vision

Python

Education

Bachelor's degree in Computer Science

Master's degree or PhD in relevant fields

Tools

PyTorch

Job description

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Summary

We are the Monetization Ranking AI Research organization, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI and ML technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization. By consistently integrating cutting-edge AI/ML advancements, we help Meta’s products achieve long-term goals and have contributed tens of billions in revenue. With our growing impact, we’re seeking motivated AI specialists to join our team and drive SOTA research across the Monetization organization.

Required Skills

Research Engineer, Monetization AI 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 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 (RL) techniques, including long-term value optimization, RLHF, and RL4Reason.
• Use causal learning to identify and understand the cause and effect of relationships across data.
• 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

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 2+ years of experience holding an industry, faculty, or government researcher or applied researcher position, or related position.
• Research experience in deep learning, reinforcement learning, natural language processing, computer vision, 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, and maintain ongoing work authorization during employment.
  
  

Preferred Qualifications

Preferred Qualifications:

• Master's degree or PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field.
• First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL).
• Experience taking ideas from research to production.
• Experience working and communicating cross functionally in a team environment.
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.
  
  

Public Compensation

$70.67/hour to $208,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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