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Tier-1 brand, metro Bengaluru location, and mid-level ML researcher profile drive high applicant competition.
Requires PhD-level research expertise and publications, limiting transferability across non-research industries.
PhD requirement, publication record, and specific ML research skills create strict shortlisting filters.
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Conduct research on large language models and develop novel algorithmic architectures to advance autonomous agents toward Artificial General Intelligence.
Design, implement, and evaluate models, agents, and software prototypes of large foundational models focusing on reinforcement learning and ML optimization methods.
Report research findings clearly and collaborate internally and externally, including with Responsible AI teams to ensure ethical AI development.
PhD in Computer Science, Artificial Intelligence, or related field, or equivalent practical experience.
At least 2 years experience with machine learning frameworks such as JAX, TensorFlow, or PyTorch.
Experience with advanced deep learning and reinforcement learning techniques.
Publication record in machine learning conferences or journals (e.g., NeurIPS, ICML, ICLR, KDD, AAAI).
Expertise in reinforcement learning and large foundational model development targeting autonomous AI agents and AGI.
Experience operating in high-impact, interdisciplinary research environments with collaboration across teams and external research labs.
Skilled at pushing research boundaries through novel methods and maintaining clear communication of findings to diverse audiences.