Develop and evaluate machine-learning algorithms, use behavioral and customer data to propose value, build prototype applications, collaborate with business teams, and publish research.
About this role
This internship is a research engineering role in a team developing natural language processing technologies for entertainment content creation and business data analysis. The work focuses on multilingual large language models and downstream applications intended to support content distribution and improve content-creation workflows across movies, anime, and games.
The role involves developing LLMs and downstream systems such as machine translation for content and natural language generation. The stated technical environment includes Python, C/C++, Linux and Windows, cloud computing, PyTorch, and TensorFlow. Work may also relate to business data such as financial, call-center, and manufacturing information.
Applicants need a master’s degree in natural language processing, artificial intelligence, machine learning, or a closely related area, or equivalent practical experience. The posting requires three years of experience with Python, C/C++, and Linux/Unix, two years in machine learning and NLP using frameworks such as PyTorch or TensorFlow, and research ability demonstrated through conference papers, open-source software, or other scientific activity.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Investigates speech and audio AI/ML methods, developing algorithms and analyzing data for speech-based large language modeling, diarization, and speech synthesis.
Investigates machine-learning methods for generating and editing video, sound, and 3D geometry, while studying memorization, concept erasure, and data attribution in generative AI.
Leads security operations, architecture, and implementation across Keyence’s global IT infrastructure, covering monitoring, incident response, threat analysis, cloud security, and security tools.
Oversee the overall security of Money Forward Kessai, collaborating with developers and information system staff to maintain and enhance security.
Work directly with business stakeholders to translate between data and business needs, analyze results, and communicate findings to senior leadership in the Tokyo-based Japan Central Ops role.