About the Company
Pocket FM is on a mission to deliver personalized and immersive audio experiences to listeners worldwide. We are revolutionizing the audio entertainment industry through long-form storytelling, supported by our cutting-edge platform that serves millions of listeners and generates billions of minutes of engagement monthly. We leverage Generative AI in producing content and streamlining operations, developing innovative solutions for cutting-edge challenges in the AI landscape across all modalities—text, audio, and images. With strong backing and rapid user base growth, Pocket FM is an exciting and dynamic place to join.
About the Role
We are looking for a passionate and driven Research Scientist Intern to innovate in long-form content generation and localization. In this role, you will have the opportunity to contribute to seamless, culturally-tailored storytelling experiences and work on evaluating content quality through user engagement and quality metrics. You will gain hands-on experience working with large-scale language applications and help refine how language models interact with external data sources, such as knowledge graphs. Additionally, you will assist with fine-tuning techniques, such as Reinforcement Learning from Human Feedback (RLHF), to improve our production models for cultural and linguistic accuracy. You’ll be collaborating with our Machine Translation (MT) and Large Language Model (LLM) teams to help enhance Pocket FM’s global reach, enabling millions of listeners worldwide to enjoy stories in their native language. Throughout your internship, you’ll be mentored by senior research scientists and collaborate closely with engineers on R&D experiments that drive real-world impact for the company. This internship offers a unique opportunity to apply your academic knowledge in a fast-paced, cutting-edge AI environment. The team is open for the candidate to be located anywhere in North America with the requirement to travel occasionally to meet the team in person.
Key Responsibilities
- Assist in implementing algorithms, running experiments, and designing evaluations to improve content creation, adaptation, and translation across multiple languages
- Support the implementation and optimization of finetuning pipelines using techniques like RLHF and LoRA for training large-scale language models
- Contribute to the development of scalable distributed information retrieval systems (search engines, knowledge graphs, indexing, ranking, and query understanding)
- Ensure the quality and consistency of AI-generated content through rigorous testing and evaluation
- Support the team in publishing research findings in top-tier AI conferences and journals
Qualifications
- Currently has or is in the process of obtaining a Ph.D. degree in Machine Learning, Artificial Intelligence, or relevant technical field
- Strong proficiency in Python and familiarity with research methodologies
- Experience in frameworks such as PyTorch or TensorFlow
- Demonstrated experience in deep learning, especially language modeling with transformers and machine translation
- Familiarity with methods of training and fine-tuning language models, including reinforcement learning, policy optimization, and supervised fine-tuning
- Experience building and iterating on knowledge extraction and graph-based representation of information
- Preference for fast-paced, collaborative projects with concrete goals, quantitatively tested through A/B experiments
Join us as an intern and gain valuable experience contributing to groundbreaking research in Generative AI technologies at Pocket FM!