Research Engineer, Monetization AI Sunnyvale, CA • AI Research • Artificial Intelligence Sunnyv[...]

Meta; Sunnyvale (CA); On-site; USD 7,000 - 208,000; Full time

Job summary

An established industry player is seeking motivated AI specialists to join their Monetization Ranking AI Research organization. This role involves developing cutting-edge AI and ML technologies to enhance personalized advertising, maximizing user utility and advertiser value. As part of a high-impact team, you will work on innovative solutions in natural language processing, generative modeling, and reinforcement learning. This position offers the opportunity to contribute significantly to the company's revenue goals while advancing your career in a dynamic and collaborative environment. If you're passionate about AI and eager to make a difference, this is the perfect opportunity for you.

Benefits

Bonus

Equity

Comprehensive benefits package

Qualifications

• 2+ years of experience in research roles focusing on AI and ML.
• Strong programming skills in Python with experience in deep learning frameworks.

Responsibilities

• Develop large-scale model architectures and optimize performance.
• Collaborate on ML systems design and implementation.

Skills

Deep Learning

Reinforcement Learning

Natural Language Processing

Python Programming

Model Architecture

Generative Modeling

Graph-aware Models

Causal Learning

Education

Bachelor's degree in Computer Science or related field

Master's degree or PhD in relevant field

Tools

PyTorch

Job description

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.

Research Engineer, Monetization AI Responsibilities

1. Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques.
2. Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability.
3. Develop and apply NextGen sequence learning techniques to drive advancements in natural language processing and understanding.
4. Design and implement generative modeling solutions for data augmentation.
5. Research and develop graph-aware large language models.
6. Develop and deploy AutoML pipelines.
7. Apply Reinforcement Learning (RL) techniques, including long-term value optimization, RLHF, and RL4Reason.
8. Use causal learning to identify and understand the cause and effect of relationships across data.
9. 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.
10. 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

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
2. 2+ years of experience holding an industry, faculty, or government researcher or applied researcher position, or related position.
3. Research experience in deep learning, reinforcement learning, natural language processing, computer vision, recommendations, ranking, search, or related areas.
4. Programming experience in Python and hands-on experience with frameworks such as PyTorch.
5. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications

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

For those who live in or expect to work from California if hired for this position, please click here for additional information.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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