Senior Research Engineer – Post-Training & Reinforcement Learning

Senior Research Engineer – Post-Training & Reinforcement Learning

Take a base model and make it reason, follow instructions, and stay aligned — at frontier scale.

Location: Delhi NCR or Bengaluru | Experience: 4 – 12 years

About the opportunity

We are retained by a well-funded AI lab building foundation models from the ground up in India — real compute, real pretraining, not fine-tuning on top of someone else's model. The team is small and the work is unusually direct: what you build ships into the model.

The client's identity is confidential at this stage and will be shared on first call.

What you will do

• Drive model alignment and capability gains through supervised fine-tuning.

• Implement and scale preference optimisation (RLHF, DPO and successors) and reasoning-focused RL.

• Train robust reward models.

• Engineer verifier environments that support iterative capability scaling.

What we are looking for

• 4+ years of applied deep learning, concentrated in reinforcement learning, alignment, or post-training of foundation models.

• Working command of the modern post-training stack, not just API-level fine-tuning.

• Evidence of depth: publications, open-source contributions, or models you have shipped.

What is on offer

• Compensation is open and benchmarked to the top of the Indian market for this profile, with meaningful equity.

• Delhi NCR is the primary base, but the client is flexible on Bengaluru for the right person.

• Relocation support, including for candidates returning from outside India.

How to apply

Apply here, or write to [Confidential Information] with your CV and links to anything you have published, shipped or open-sourced. We reply to every serious application within 48 hours.