Artificial Intelligence Researcher

Key Responsibilities

Provide strategic leadership for the AI Alignment division, covering Trust & Safety, interpretability, and pricing-related information integrity.

Develop and implement strategies for AI alignment, including safety protocols, interpretability techniques, and robust red-teaming frameworks.

Drive integration of advanced alignment and safety methods such as RLHF, DPO, PPO, LIME, and SHAP across the AI pipeline.

Design new algorithms and model architectures extending beyond alignment protocols to support broader AI advancements.

Build, train, and optimize large-scale ML / AI models end-to-end.

Create evaluation benchmarks, including those tailored to Indian linguistic, cultural, and domain-specific contexts.

Collaborate with engineering teams to translate research into scalable, production-ready systems.

Oversee cloud infrastructure usage (AWS, GCP, Azure) to support model training, deployment, and monitoring.

Promote open-source contributions and collaboration (e.g., PyTorch, Hugging Face).

Work with product and research teams to embed safety, transparency, and interpretability into all AI systems.

Lead cross-functional initiatives to ensure safety and interpretability throughout the AI development lifecycle.

Represent the organization in industry forums, conferences, and regulatory discussions on AI alignment and ethics.

Manage budgeting, resource planning, and strategic operations for the AI Alignment division.

Mentor and develop team members, fostering a collaborative and innovative research culture.

Report progress, challenges, and strategic recommendations to executive leadership.

Required Qualifications

Master’s or Ph.D. in Computer Science, AI, ML, Mathematics, or related fields.

Strong understanding of machine learning, deep learning, reinforcement learning, and alignment methodologies.

Experience with ML frameworks such as TensorFlow, PyTorch, or JAX.

Proficiency in programming languages like Python, C++, or Java.

Experience with large-scale datasets, distributed computing, and cloud environments (AWS / GCP / Azure).

Strong analytical, problem-solving, and independent research skills.

Excellent written and verbal communication abilities.