Urgent: Ai Internship

AI Research Intern - AryaXAI AI Alignment Labs Commitment Full-time internship 6 months potential extension or full-time offer Start Date Rolling About AryaXAI AI Alignment Labs AryaXAI AI Alignment Labs based out of Mumbai India and Paris France is the alignment and explainability division of part of Aurionpro Solutions We work on AI interpretability and trustworthiness for mission-critical sectors Our open-source initiatives include the xai evals benchmarking suite and the DLBacktrace explainability framework both designed to make AI more transparent reliable and aligned with human values What You ll Do Collaborate closely with our research and engineering teams on one of the areas Library Development Architect and enhance open-source Python tooling for alignment explainability uncertainty quantification robustness and machine unlearning Model Benchmarking Conduct rigorous evaluations of LLMs and deep networks under domain shifts adversarial conditions and regulatory constraints Explainability Trust Design and implement XAI techniques LRP SHAP Grad-CAM Backtrace across text image and tabular modalities Mechanistic Interpretability Probe internal model representations and circuits using activation patching feature visualization and related methods to diagnose failure modes and emergent behaviors Uncertainty Risk Develop implement and benchmark uncertainty estimation methods Bayesian approaches ensembles test-time augmentation alongside robustness metrics for foundation models Research Contributions Author and maintain experiment code run systematic studies and co-author whitepapers or conference submissions General Required Qualifications Strong Python expertise writing clean modular and testable code Theoretical foundations deep understanding of machine learning and deep learning principles with hands-on experience with PyTorch Transformer architectures fundamentals comprehensive knowledge of attention mechanisms positional encodings tokenization and training objectives in BERT GPT LLaMA T5 MOE Mamba etc Version control CI CD Git workflows packaging documentation and collaborative development practices Collaborative mindset excellent communication peer code reviews and agile teamwork Preferred Domain Expertise Any one of these is good Explainability applied experience with XAI methods such as SHAP LIME IG LRP DL-Bactrace or Grad-CAM Mechanistic interpretability familiarity with circuit analysis activation patching and feature visualization for neural network introspection Uncertainty estimation hands-on with Bayesian techniques ensembles or test-time augmentation Quantization pruning applying model compression to optimize size latency and memory footprint LLM Alignment techniques crafting and evaluating few-shot zero-shot and chain-of-thought prompts experience with RLHF workflows reward modeling and human-in-the-loop fine-tuning Post-training adaptation fine-tuning practical work with full-model fine-tuning and parameter-efficient methods LoRA adapters instruction tuning knowledge distillation and domain-specialization Additional Experience Nice-to-Have Publications contributions to CVPR ICLR ICML KDD WWW WACV NeurIPS ACL NAACL EMNLP IJCAI or equivalent research experience Open-source contributions prior work on AI ML libraries or tooling Domain exposure risk-sensitive applications in finance healthcare or similar fields Performance optimization familiarity with large-scale training infrastructures What We Offer Real-world impact address high-stakes AI challenges in regulated industries Compute resources access to GPUs cloud credits and proprietary models Competitive stipend with potential for full-time conversion Authorship opportunities co-authorship on papers technical reports and conference submissions