Sony Research India, located in Bengaluru, Karnataka, offers an excellent opportunity for aspiring engineers and computer scientists. As part of the larger Sony Research global network, we focus on innovation in electronics, entertainment, and financial fields. This internship offers a unique chance to work with frontline technologies and gain experience in a fast-paced, innovative environment.
About Sony Research India
Sony Research India (SRI) is dedicated to advancing research and development across a variety of disciplines. With a presence in multiple locations around the globe, including Japan, the United States, Europe, and Asia, SRI is leading the way in creating new technologies and products. Our goal is to nurture a diverse pool of talent to drive research excellence worldwide.
At SRI, you will work with a team dedicated to exploring cutting-edge technology and developing new products and services. We foster a collaborative environment, encouraging creativity and innovation in every aspect of our work. By joining our team, you will become part of a community that values dreams, curiosity, diversity, integrity, and sustainability.
Internship Details and Responsibilities
The LLM Intern at Sony Research India will work with a team of research scientists and other team members to develop large language models (LLM), retrieval augmented generation (RAG), and reinforcement learning from human feedback (RLHF). The internship involves daily basic development activities and requires a strong understanding of neural machine translation (NMT) tasks related to Indian languages.
Key Responsibilities Include:
- Collaborating with research scientists and other team members to develop LLM, RAG, and RLHF for NMT-related tasks.
- Participating in the development of innovative AI technologies for Indian languages.
- Contributing to the advancement of AI-based applications and pipelines.
Work Location and Duration
- The internship offers flexible working arrangements, with options for hybrid, Mumbai-based, or remote work.
- The program lasts for six months, starting in the third week of May 2024.
- Work hours are from 9:00 AM to 6:00 PM, Monday to Friday, full-time.
Required Experience and Skills
To be eligible for the LLM Internship at Sony Research India, candidates must have a Ph.D. or a Master’s degree in Computer Science, or a Bachelor’s degree with hands-on experience in Python and Natural Language Processing applications.
Must-Have Skills:
- Proficiency in PyTorch.
- Experience with deep learning and machine learning frameworks such as TensorFlow and scikit-learn.
- Strong knowledge of LLM, RAG, and RLHF-based pipelines.
- Familiarity with generative AI models.
Good-to-Have Skills:
- Additional expertise in PyTorch.
- Prior experience with Indian language NMT.
Sony Research India’s Core Values
Sony Research India is built on a foundation of values that guide our operations and workplace culture. These values reflect our commitment to innovation, diversity, integrity, and sustainability.
- Dreams & Curiosity: We believe in pioneering the future with dreams and curiosity. We encourage creativity and exploration in every project we undertake.
- Diversity: We pursue excellence by harnessing diverse talents and varying viewpoints. Our team is made up of individuals from different backgrounds, bringing unique perspectives to our work.
- Integrity & Sincerity: We earn the trust of the Sony brand through ethical and responsible conduct. Our commitment to integrity is reflected in every aspect of our work.
- Sustainability: We strive to fulfill our stakeholder responsibilities through disciplined business practices. Sustainability is at the core of our values, guiding our approach to business.
Equal Opportunity Commitment
Sony Research India is committed to equal opportunity in all employment practices, policies, and procedures. We ensure that no worker or potential worker will receive less favorable treatment due to any characteristic protected under applicable local laws.
By joining Sony Research India as an LLM Intern, you become part of a diverse and inclusive environment where you can grow your skills and contribute to groundbreaking research and development projects.
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