Research Scientist Intern, Responsible AI (PhD)

Meta; London; On-site; GBP 80,000 - 100,000; Full time

Job summary

An innovative firm is seeking Research Scientist Interns who are passionate about advancing responsible AI. This internship offers a unique opportunity to engage in groundbreaking research on AI systems that prioritize fairness and reliability. Interns will conduct independent studies, publish their findings, and collaborate with leading researchers. Join a team that is dedicated to pushing the boundaries of technology and making a meaningful impact on society through responsible AI practices. If you're ready to contribute to transformative projects and expand your knowledge in a supportive environment, this role is perfect for you.

Qualifications

• Currently pursuing a PhD in relevant technical fields.
• Experience with Python and PyTorch for training generative models.

Responsibilities

• Conduct independent research on generative AI models.
• Publish research papers focused on fairness and inclusivity.

Skills

Python

PyTorch

Machine Learning

Artificial Intelligence

Computer Science

Reinforcement Learning

Education

PhD in Machine Learning or related field

Tools

Generative Models

Open-source Software

Job description

Research Scientist Intern, Responsible AI (PhD)

Meta is seeking Research Scientist Interns passionate about understanding and improving state-of-the-art AI systems, making key contributions to research on fairness, inclusion, and the reliability of modern machine learning approaches. We operate across modalities and are deeply committed to understanding the impacts of AI in real-world social contexts. We welcome applications from those with experience in diverse subject areas including but not limited to responsible AI, computer vision, audio and speech processing, and natural language processing. We offer twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year.

Responsibilities

1. Conduct independent research that investigates the practical impacts of generative AI models, including but not limited to benchmarking, empirical evaluations, and theoretical contributions.
2. Publish state-of-the-art research papers in responsible AI with particular focus on developing fair, inclusive, and reliable AI systems that work well for everyone.
3. Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
4. Produce and open source high quality code and reproducible results for the community.

Minimum Qualifications

1. Currently has or is in the process of obtaining a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Information, Reinforcement Learning, Mathematics, or relevant technical field.
2. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
3. Experience with Python, PyTorch, and modern frameworks for efficient training, finetuning, or evaluating large-scale generative models.

Preferred Qualifications

1. Intent to return to a degree program after the completion of the internship/co-op.
2. Proven track record of achieving significant results as demonstrated by grants, fellowships, or patents, as well as publications in leading workshops or conferences such as NeurIPS, ICLR, ICML, ACL, EMNLP, FAccT, AIES, or similar. Contributions to affinity workshops are welcome.
3. Demonstrated experience and self-driven motivation in solving novel, complex problems.
4. Demonstrated software engineering experience via an internship, work experience, coding competitions, or contributions to open-source repositories (e.g., on GitHub).
5. Experience working and communicating cross-functionally in a team environment.
6. Interest or experience in communicating across disciplines, incorporating diverse perspectives, and conducting interdisciplinary research.

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.

Equal Employment Opportunity and Affirmative Action

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, 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.

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 [e-mail].