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Specialized ML research role at a reputable AI firm makes applicant pool moderately competitive.
Highly domain-specific ML research skills and advanced degree needs limit cross-industry transferability.
Requires Master's/PhD and mandatory LLM, PyTorch, cloud, and publication-oriented research experience.
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Develop and improve Large Language Models (LLMs) including finetuning, quantization, distillation, inference optimization, and model merging.
Build rapid prototypes and conduct experimental studies in AI domains such as Generative AI, NLP, Multimodal AI, Computer Vision, and Reinforcement Learning.
Collaborate with researchers and engineers to create novel models and baselines, contribute to publications, patents, and technical content dissemination.
Master’s or PhD degree preferred.
From new graduates up to 3+ years of research experience post graduation.
In-depth understanding of machine learning concepts with strong mathematical foundation.
Hands-on experience with LLM development techniques, Python programming, ML frameworks (PyTorch), agent frameworks (Langchain, ADK), and cloud environments (GCP/Azure).
Experience or strong interest in cutting-edge AI research and next-gen AI innovation such as generative AI and multi-agent systems.
Capability to translate complex technical concepts into multiple knowledge dissemination formats (blogs, presentations, publications).
Flexible and fast learner comfortable adapting to new concepts and technologies in a dynamic R&D setting.