Research Scientist, Meta AI (PhD) Full-time

Research Scientist, Meta AI (PhD)

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Menlo Park, CA

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Join Meta’s Generative AI organization as an Applied Research Scientist and play a pivotal role in shaping the future of Meta AI. While large language models (LLMs) have made significant strides, they often struggle to incorporate recent events and may generate inaccurate information. To address this challenge, we’re developing innovative retrieval augmented generation (RAG) techniques that enhance and ground LLMs’ knowledge. As an Applied Research Scientist on our team, you’ll have the opportunity to drive cutting-edge research, develop industry-leading AI models, and deploy them in products that impact billions of users worldwide. By pushing the boundaries of what’s possible in generative AI, you’ll help us create more accurate, informative, and engaging experiences for our users. We’re hiring talented applied researchers like you in multiple locations. If you’re passionate about advancing the state of the art in generative AI and making a meaningful impact, we encourage you to apply.

Research Scientist, Meta AI (PhD) Responsibilities

• Perform research to tackle unsolved real-world problems and push state of the art retrieval augmented generation (RAG) techniques.
• Independently design and implement algorithms, train SOTA models on large data, evaluate their performance, and launch to production.
• Drive applied research that can be applied to Meta product development.

Minimum Qualifications

• Currently has, or is in the process of obtaining a Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
• Currently has or is in the process of completing a PhD in the field of Artificial Intelligence, a related field. Degree must be completed prior to joining Meta.
• Research experience in one or more of these areas: NLP, speech, machine learning, deep learning, or related fields.
• Experience with development and implementation of LLM algorithm/systems and model training.
• Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Knowledge of deep learning and neural networks.
• Experience working with machine learning libraries like Pytorch.
• Familiar with scripting languages such as Python and shell scripts.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications

• Direct experience in generative AI and RAG research, and taking the solutions to production.
• First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
• Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
• Experience working and communicating cross functionally in a team environment.

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

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Data Center

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.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com .

$56.25/hour to $173,000/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.