This role is for one of Weekday’s clients
Salary range: Rs 5000000 - Rs 10000000 (ie INR 50 - 100 LPA)

Min Experience: 3+ years
Location: Bengaluru, Karnataka, India
JobType: full time

We are looking for a highly skilled and research-oriented Research Scientist with 3–6 years of experience in machine learning, reinforcement learning, and large language model (LLM) alignment. The ideal candidate will have strong hands-on experience with Reinforcement Learning from Human Feedback (RLHF), Reinforcement Learning from AI Feedback (RLAIF), and Reward Modeling, and will contribute to developing and improving advanced AI systems.

You will work on research problems related to model alignment, preference learning, reward optimization, evaluation, and post-training. This role requires a strong understanding of modern machine learning techniques, the ability to translate research ideas into working systems, and experience conducting rigorous experiments on large-scale models.

Requirements

Key Responsibilities
- Design, implement,



and evaluate RLHF pipelines for training and aligning large language models with human preferences.
- Develop and improve RLAIF methodologies using AI-generated feedback, preference signals, and automated evaluation frameworks.
- Build, train, and validate reward models that accurately capture human or AI preferences and desired model behaviors.
- Experiment with reinforcement learning and preference optimization techniques to improve model helpfulness, accuracy, safety, and instruction following.
- Analyze model behavior and training outcomes using quantitative evaluations, benchmarks, and controlled experiments.
- Develop data-generation, preference-collection, ranking, and annotation strategies for alignment and post-training datasets.
- Collaborate with research engineers and ML engineers to scale training and experimentation pipelines.
- Investigate failure modes in reward models, preference datasets, and alignment techniques, and propose res

📌 Research Scientist (Bengaluru)
🏢 Weekday AI
📍 Bengaluru