Research Scientist Intern

As a Research Scientist Intern at Pluralis Research, your primary responsibility will be to conduct innovative research focused on Protocol Learning, specifically aiming for publication in top-tier machine learning conferences such as NeurIPS, ICML, and ICLR. You will collaborate closely with senior scientists to refine your research ideas and methods, and you'll be provided with the resources necessary to support your work, including access to substantial computing infrastructure.

To be considered for the Research Scientist Intern role at Pluralis Research, you should be a current PhD candidate with at least one publication in respected machine learning venues like NeurIPS, ICML, or ICLR. A specialization in distributed machine learning or model parallelism is preferred, and you should have a strong theoretical foundation in deep learning principles and demonstrated implementation skills using PyTorch and large-scale training infrastructure.

Interning as a Research Scientist at Pluralis Research provides numerous benefits. You will receive a competitive research stipend, valuable mentorship from experienced scientists, and access to significant research resources and infrastructure. This internship is designed to complement and enhance your ongoing PhD research while maximizing your potential for publishing. Moreover, you will be part of a mission-driven team that champions open collaboration in AI advancements.

Yes! The Research Scientist Intern position at Pluralis Research offers flexible working arrangements. You have the option to work remotely or from one of our dynamic hubs located in New York or Melbourne, making it easier to balance your personal and professional commitments while contributing to exciting research.

Protocol Learning is at the heart of Pluralis Research’s mission. It represents a decentralized approach to training and deploying AI models, allowing for collaborative contributions from many individuals rather than solely from well-resourced corporations. As a Research Scientist Intern, you will focus on this innovative research area, exploring methods that help prevent monopolization in AI model development, thereby contributing to a more equitable future in technology.

When answering this question, focus on defining Protocol Learning and its role in decentralizing AI systems. Highlight how it helps democratize access to AI and facilitates collaborative model training. Mention any relevant research you've done or papers you’ve read that have influenced your understanding here.

When discussing a past research project, walk through the problem you aimed to solve, your methodology, and the results. Be sure to express why you chose this project and what you learned from the experience, particularly in terms of collaboration, challenges faced, and outcomes achieved.

Detail your experience with PyTorch, including specific projects where you implemented it. Talk about the models you built, data sets used, and any challenges you faced. Emphasize your ability to adapt and learn quickly, and if applicable, mention any contributions you’ve made to the broader PyTorch community.

Discuss your academic writing experiences here. Emphasize a structured approach: outlining your document first, focusing on clarity, and ensuring accessibility for your target audience. Mention feedback or peer reviews that have helped you refine your writing style.

Address issues such as ethical considerations, data privacy, and monopolization of AI technologies by large corporations. Discuss how these challenges impact research directions and the importance of collaboration and open dialogue in the scientific community.

Talk about specific strategies and resources you use to keep abreast of advancements, such as following influential researchers on social media, subscribing to relevant journals, participating in workshops, or engaging with communities online. Highlight how this helps improve both your skills and research ideas.

Share your personal motivations, such as a passion for innovation, a desire to solve significant problems, or an interest in the impact of AI on society. Elaborate on what drives your curiosity and how it aligns with your work at Pluralis Research.

Be specific about a research-related challenge, detailing the context of the situation, the steps you took to address it, and the ultimate outcome. This showcases your problem-solving skills and ability to learn from potential setbacks.

Outline your system for prioritization, whether that involves goal setting, calendar management, or using project management tools. Explain how you ensure quality work while meeting deadlines and maintaining collaboration in a team environment.

Discuss your long-term goals in academia or industry and how the internship aligns with those aspirations. Consider mentioning your eagerness to publish, contribute to collaborative projects, or take on leadership roles in future research endeavors.