๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ด๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ฑ๐ฌ-๐ด๐ฌ ๐๐ฃ๐)
Experience: 7+ yrs
Location: Bengaluru, Karnataka, India, Karnataka
As a Research Scientist Core AI, you will spearhead cuttingโedge research and development in reinforcement learning and generative AI, designing intelligent agents that can navigate and thrive in complex simulation environments. You will collaborate with crossโfunctional teams to translate theoretical breakthroughs into scalable technology stacks, ensuring that our AI systems maintain stateโofโtheโart performance and robustness. Your role will involve deep experimentation, rigorous benchmarking, and the publication of findings in top conferences and journals, while also mentoring junior researchers and contributing to open source initiatives. You will be the bridge between academic excellence and industrial impact, driving innovation that shapes the future of autonomous AI.
Requirements
๐๐ฒ๐ ๐ฅ๐ฒ๐๐ฝ๐ผ๐ป๐๐ถ๐ฏ๐ถ๐น๐ถ๐๐ถ๐ฒ๐
โข Develop and benchmark advanced reinforcement learning algorithms for realโworld applications.
โข Design generative models capable of producing highโfidelity synthetic data for training and testing agents.
โข Build and manage scalable agent frameworks that support multiโagent coordination and learning.
โข Create realistic simulation environments that emulate complex dynamics for policy evaluation.
โข Conduct endโtoโend system integration, ensuring seamless interaction between RL agents and simulation backโends.
โข Publish research papers, patents, and technical reports to disseminate knowledge within the community.
โข Mentor junior scientists and engineers, fostering a culture of continuous learning and collaboration.
โข Evaluate emerging AI technologies and propose strategic adoption into product pipelines.
โข Collaborate with data engineering teams to curate largeโscale datasets and monitor data quality.
โข Present technical findings to stakeholders, translating complex concepts into clear business insights.
๐ช๐ต๐ฎ๐ ๐ ๐ฎ๐ธ๐ฒ๐ ๐ฌ๐ผ๐ ๐ฎ ๐๐ฟ๐ฒ๐ฎ๐ ๐๐ถ๐
โข Ph.D. or M.S. in Computer Science, Machine Learning, or related field with a strong emphasis on RL or generative models.
โข 7+ years of industry experience in AI research or a comparable research environment.
โข Proven track record of published research in top-tier conferences such as NeurIPS, ICML, ICLR, or CVPR.
โข Expertise in popular RL libraries (e.g., OpenAI Gym, RLlib, Stable Baselines) and generative frameworks (e.g., GPT, diffusion models).
โข Proficiency with simulation tools like Unity MLโAgents, MuJoCo, PyBullet, or custom physics engines.
โข Strong programming skills in Python, C++, and familiarity with GPU acceleration (CUDA, cuDNN).
โข Demonstrated ability to translate theoretical insights into productionโgrade code.
โข Excellent communication skills, able to explain complex technical concepts to nonโtechnical audiences.
โข Experience leading crossโdisciplinary teams and managing project timelines under resource constraints.
โข Passion for staying ahead of AI trends and driving forwardโlooking research initiatives.