Research Scientist (RLHF/RL)

Location: Noida or BengaluruAbout the RoleThis is the most technically differentiated research role in the company.

You'll design the reward functions and RL algorithms that power the post-training behind the models we build — work that genuinely determines whether the models we ship are good.What You'll DoDesign reward functions and RL recipes, including PPO/GRPO/DPO-family algorithms, for both our platform and our own model post-trainingEnsure customer-supplied reward functions integrate cleanly and train stably on our platformDiagnose and resolve RL training instabilityCollaborate closely with our infrastructure team on rollout and environment requirementsTrack new RL research and make the call on what's actually worth adoptingWhat You'll Bring8+ years of relevant experience, including PhD training, in Machine Learning, Reinforcement Learning, or a closely related field — the underlying theory here takes years to build, and this is largely a PhD-level hiring barDeep, hands-on experience with modern RL algorithms (PPO, GRPO, DPO, or similar) and reward modelingProficiency in PyTorch or JAXStrong statistical intuition for diagnosing why an RL training run is or isn't workingEducationPhD in Machine Learning, Reinforcement Learning, Computer Science, Statistics, Mathematics, or Physics, from a Tier-1 institution.Nice to HaveA research background from a leading RL lab or applied AI companyPublication record in reinforcement learning or RLHF