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

• Masters 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.