Research Engineer, Monetization AI

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

Job summary

A leading company in AI research seeks a Research Engineer in Sunnyvale, CA to drive advancements in Monetization AI. You will develop cutting-edge model architectures, leverage machine learning techniques, and collaborate cross-functionally to enhance product effectiveness. Candidates should possess strong programming skills, preferably in Python, and have research experience across various AI domains including deep learning and NLP. This role offers a competitive salary with additional benefits, reflecting the importance of your contributions to maximizing user utility and advertiser value.

Qualifications

• Minimum 2 years in industry as a researcher or related position.
• Experience in deep learning, NLP, and computer vision.
• Strong programming skills in Python.

Responsibilities

• Develop and implement large-scale model architectures.
• Research and develop graph-aware large language models.
• Collaborate with teams to optimize ML systems.

Skills

Deep Learning

Reinforcement Learning

Natural Language Processing

Python

Education

Bachelor's degree in Computer Science

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].

If you have questions about this posting, please contact [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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