Join Our Innovative FAIR Team as a Research Scientist at Meta

Meta is at the forefront of transformative artificial intelligence (AI) advancements, and we're looking for a skilled Research Scientist to join our Fundamental AI Research (FAIR) division, particularly within the Chemistry team. Our ambitious FAIR team is dedicated to pioneering significant AI breakthroughs that impact critical sectors like climate change and augmented/virtual reality.

About This Role

The selected candidate will be an integral expert in fields like machine learning, AI applied to chemistry, material science, computational statistics, and applied mathematics. Your expertise in deep learning, graphical models, reinforcement learning, computer perception, natural language processing, and data representation will be instrumental to our mission. You will primarily focus on enhancing our AI-driven methodologies for novel materials discovery, with current projects involving electro-catalysts, nano-porous materials, and new materials for display technologies.

Key Responsibilities

• Lead groundbreaking research to advance intelligent machine technology.
• Develop innovative AI applications within chemistry and material science.
• Create superior data-driven models for better prediction and analysis.
• Set and achieve long-term research objectives while establishing short-term goals.
• Contribute to and influence the global research community through publishing.
• Support Facebook product development with your research findings.
• Collaborate on global team projects and push the boundaries of AI science.

Minimum Qualifications

Candidates should be nearing the completion of or have obtained a Ph.D. in Machine Learning, Computer Science, Physics, Artificial Intelligence, or related fields. Demonstrable experience in applying AI to scientific domains, creating data-driven models, and implementing real-system experiments is essential. Proficiency in programming languages such as Python, C++, C, Julia, and experience with deep learning frameworks like Pytorch, Jax, or Tensorflow is required.

Preferred Qualifications

• Over 3 years of industry or research lab experience.
• Proven analytical problem-solving through quantitative approaches.
• Robust experience managing large scale, complex data sets from diverse sources.
• Optimization skills using machine learning and deep learning methods.
• Ability to navigate and contribute to multi-functional team environments.

Why Choose Meta?

At Meta, we build technologies that enable people to connect globally. From the launch of Facebook to revolutionary platforms like Messenger, Instagram, and WhatsApp, and now to cutting-edge AR/VR experiences, we create the tools that redefine human connection. Committed to diversity and inclusivity, Meta provides competitive compensation (ranging between $177,000 and $251,000 annually, plus bonuses and equity) and comprehensive benefits. Your engagement in our team will contribute directly to products that shape our future.

Interested candidates are encouraged to apply and help us shape an exciting digital future. Meta values diversity and is committed to providing accessible recruitment processes for all, including accommodations support.

Ready to redefine technological horizons? Apply now to become a Research Scientist in AI for Science at Meta and lead the evolution of AI technologies.

Benefits, Compensation, and Application Process

For full information on our compensation, benefits, and the application process, please visit our careers page. Join Meta and harness the power of technology to create a more inclusive, connected world.

Contact for Accommodation Support:

If you require accommodations at any stage of the application process, please email [email protected].

We look forward to considering your application and potentially welcoming you to our team.