Research Scientist Intern, Responsible Ai

il y a 4 jours

Paris, France Meta Temps plein

**Research Scientist Intern, Responsible AI (PhD) Responsibilities**:

- Conduct independent research that investigates the practical impacts of generative AI models, including but not limited to benchmarking, empirical evaluations and theoretical contributions.
- 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.
- Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
- Produce and open source high quality code and reproducible results for the community.

**Minimum Qualifications**:

- 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.
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
- Experience with Python, PyTorch, and modern frameworks for efficient training, finetuning, or evaluating large-scale generative models.

**Preferred Qualifications**:

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

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.

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