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Weekday AI
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Research Scientist Core AI

Location
Bengaluru, Karnataka, India
Work mode
On-site
Employment type
Full-time

About the job

๐—ง๐—ต๐—ถ๐˜€ ๐—ฟ๐—ผ๐—น๐—ฒ ๐—ถ๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—ผ๐—ป๐—ฒ ๐—ผ๐—ณ ๐˜๐—ต๐—ฒ ๐—ช๐—ฒ๐—ฒ๐—ธ๐—ฑ๐—ฎ๐˜†'๐˜€ ๐—ฐ๐—น๐—ถ๐—ฒ๐—ป๐˜๐˜€ ๐—ฆ๐—ฎ๐—น๐—ฎ๐—ฟ๐˜† ๐—ฟ๐—ฎ๐—ป๐—ด๐—ฒ: ๐—ฅ๐˜€ ๐Ÿฑ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ - ๐—ฅ๐˜€ ๐Ÿด๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ๐Ÿฌ (๐—ถ๐—ฒ ๐—œ๐—ก๐—ฅ ๐Ÿฑ๐Ÿฌ-๐Ÿด๐Ÿฌ ๐—Ÿ๐—ฃ๐—”) Experience: 7+ yrs Location: Bengaluru, Karnataka, India, Karnataka

As a Research Scientist Core AI, you will spearhead cuttingโ€‘edge 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 crossโ€‘functional teams to translate theoretical breakthroughs into scalable technology stacks, ensuring that our AI systems maintain stateโ€‘ofโ€‘theโ€‘art 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 ๐—ž๐—ฒ๐˜† ๐—ฅ๐—ฒ๐˜€๐—ฝ๐—ผ๐—ป๐˜€๐—ถ๐—ฏ๐—ถ๐—น๐—ถ๐˜๐—ถ๐—ฒ๐˜€ โ€ข Develop and benchmark advanced reinforcement learning algorithms for realโ€‘world applications. โ€ข Design generative models capable of producing highโ€‘fidelity synthetic data for training and testing agents. โ€ข Build and manage scalable agent frameworks that support multiโ€‘agent coordination and learning. โ€ข Create realistic simulation environments that emulate complex dynamics for policy evaluation. โ€ข Conduct endโ€‘toโ€‘end system integration, ensuring seamless interaction between RL agents and simulation backโ€‘ends. โ€ข Publish research papers, patents, and technical reports to disseminate knowledge within the community. โ€ข Mentor junior scientists and engineers, fostering a culture of continuous learning and collaboration. โ€ข Evaluate emerging AI technologies and propose strategic adoption into product pipelines. โ€ข Collaborate with data engineering teams to curate largeโ€‘scale datasets and monitor data quality. โ€ข Present technical findings to stakeholders, translating complex concepts into clear business insights.

๐—ช๐—ต๐—ฎ๐˜ ๐— ๐—ฎ๐—ธ๐—ฒ๐˜€ ๐—ฌ๐—ผ๐˜‚ ๐—ฎ ๐—š๐—ฟ๐—ฒ๐—ฎ๐˜ ๐—™๐—ถ๐˜

  • Ph.D. or M.S. in Computer Science, Machine Learning, or related field with a strong emphasis on RL or generative models.
  • 7+ years of industry experience in AI research or a comparable research environment.
  • Proven track record of published research in top-tier conferences such as NeurIPS, ICML, ICLR, or CVPR.
  • Expertise in popular RL libraries (e.g., OpenAI Gym, RLlib, Stable Baselines) and generative frameworks (e.g., GPT, diffusion models).
  • Proficiency with simulation tools like Unity MLโ€‘Agents, MuJoCo, PyBullet, or custom physics engines.
  • Strong programming skills in Python, C++, and familiarity with GPU acceleration (CUDA, cuDNN).
  • Demonstrated ability to translate theoretical insights into productionโ€‘grade code.
  • Excellent communication skills, able to explain complex technical concepts to nonโ€‘technical audiences.
  • Experience leading crossโ€‘disciplinary teams and managing project timelines under resource constraints.
  • Passion for staying ahead of AI trends and driving forwardโ€‘looking research initiatives.

From Weekday AI's careers page (Workable), checked 1 Nov 2026.

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