Join Our Innovative Team as a Research Scientist Intern at Meta's FAIR Chemistry Division

At Meta, we're driven by the mission to connect and empower global communities through cutting-edge technologies. Rigorous innovation has been at our core, notably influencing global communication dynamics over the past decade. With a vast network spanning over a billion users and numerous offices worldwide, Meta offers impactful career opportunities in an exhilarating growth environment.

We are at the forefront of artificial intelligence (AI), pioneering advancements across a broad spectrum of applications—from computational chemistry to natural language processing. To further our mission, we are on the lookout for passionate individuals skilled in areas like deep learning, machine learning, and generative modeling, to join our dynamic team.

Opportunity Highlight: Research Internship in FAIR Chemistry

The FAIR Chemistry team at Meta is dedicated to revolutionizing material science using AI-driven approaches. Our projects include developing innovative solutions for carbon reduction technologies, advancements in nano-porous materials, and breakthroughs in display technology. As an intern, you'll contribute directly to these transformative projects, making substantial algorithmic enhancements and experiencing their application on a global scale.

This internship varies from twelve (12) to twenty-four (24) weeks, with flexible start dates available throughout the year, accommodating your academic commitments.

Core Responsibilities

• Developing comprehensive datasets for training and testing AI models specialized in Chemistry.
• Formulating, advancing, and scaling AI models using PyTorch for various chemistry applications.
• Executing large-scale chemistry simulations integral to our research development.
• Optimizing both classical and machine learning-based chemistry software for enhanced efficiency.
• Contributing to research papers and the release of associated open source data/code.

Basic Qualifications

• Candidates must be in the process of obtaining or already hold a Ph.D. in relevant fields such as Machine Learning, Chemistry, or Artificial Intelligence.
• Prior experience applying AI in scientific domains, with an emphasis on real-system experiments and data-driven modeling.
• Proficient in programming languages like Python, C++, and experience with deep learning frameworks such as Pytorch or TensorFlow.
• Must be eligible to work in the country of employment during the time of internship and beyond.

Preferred Qualifications

• A strong desire to return to academia post-internship while showcasing a proven ability to deliver empirical research results.
• Robust problem-solving skills utilizing quantitative approaches backed by first-authored publications in top-tier conferences.
• Experience in software development, with a portfolio demonstrating contributions to open-source platforms like GitHub preferred.

About Meta

Meta's evolution from Facebook to a leader in immersive technological experiences enables deeper connections beyond the traditional barriers of physical and digital interaction. By fostering an inclusive environment and offering competitive compensation (US$7,650/month to US$11,333/month + benefits), Meta remains an attractive place to grow both professionally and personally.

Should you need specific accommodations during our hiring process, feel free to reach out. We are devoted to inclusive hiring, supporting diverse abilities and experiences.

Start Your Journey with Us

If you're ready to contribute to groundbreaking advancements in AI and chemistry, we would love to hear from you. Embark on a career path that's as dynamic as our technological ambitions. Your journey in making global impact starts here at Meta – where innovation meets purpose.