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Specialized ML research skills and mentorship needs moderate applicant density despite Bangalore metro availability.
Requires deep ML research expertise transferable across industries but depends on strong domain research experience.
Explicit years, advanced degree options, required promotions/mentorship proof, and specific ML tooling create strict filters.
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Lead end-to-end ML research projects, from problem definition to model deployment, delivering novel, production-ready machine learning solutions.
Develop complex models such as embeddings, transformers, diffusion, and multi-modal systems, including custom color and image-related models for application features.
Provide mentorship and technical leadership to junior researchers and collaborate cross-functionally to align research with product and engineering needs.
Master's degree in ML, Computer Science, Applied Math with 5-6 years industry experience OR Ph.D. with 2-3 years post-grad industry experience.
Proven track record owning ML research projects from design through deployment.
Experience mentoring junior researchers with at least one direct promotion from ML Researcher I to II.
Proficiency in Python and modern ML frameworks such as PyTorch or JAX; familiarity with production constraints and model lifecycle management.
Experienced in leading high-impact ML research initiatives, able to drive technical strategy and innovation within the team.
Skilled in designing and implementing state-of-the-art ML models including generative and multi-modal architectures.
Effectively collaborates cross-functionally with product, engineering, and data teams while providing mentorship and establishing research best practices.