Generative AI Applied Scientist

Pandita AI is a rapidly growing Applied AI startup headquartered in Palo Alto, California, with an Applied AI division based in Mysore, India. We specialize in building domain-specific LLMs, multimodal generative systems, and agentic workflows for real-world problems across scientific computing, document intelligence, and industrial automation. We are seeking a Generative AI Applied Scientist to join our core research team in Mysore. This role is ideal for individuals who excel at the intersection of deep research, problem discovery, and real-world deployment, offering high-impact opportunities and ownership. Key Responsibilities Proactively identify high-value problem areas where generative AI can deliver measurable impact. Translate ambiguous or emerging needs into well-defined ML tasks and deliver production-grade solutions. Design and develop custom generative models (e.g., Transformers, LLMs, Diffusion Models, VAEs). Own the end-to-end lifecycle of model development from prototyping to cloud/API deployment. Possess good communication skills to engage with customers, identify problem statements, and communicate impactful results. Collaborate across research, product, and engineering teams to embed generative AI into vertical solutions. Required Qualifications PhD or Masters with Thesis and 5+ years in Computer Science, Machine Learning, AI, or a closely related field. Strong research track record with publications in top-tier conferences (e.g., IEEE TPAMI, CVPR, ICML, ICLR, NeurIPS, ACL). Expertise in deep generative models, representation learning, and probabilistic methods. Experience in building models that solve real-world problems and can be scaled into production systems. Fluency in Python and modern ML stacks (e.g., PyTorch, JAX, Hugging Face). Willingness to work onsite in Mysore and collaborate across time zones with the US-based HQ. Involves travel about 25-50% to client locations. Preferred Qualifications Experience in LLM fine-tuning, multimodal systems, or diffusion-based generation. Familiarity with retrieval-augmented generation, causal inference, or workflow agents. Experience deploying models via Docker, ONNX, or cloud-native APIs (AWS/GCP). A track record of discovering novel application areas and developing first-of-their-kind solutions. What We Offer A fast-paced startup environment backed by cutting-edge research and global customers. ESOPs/Equity and competitive compensation. Access to high-performance compute (A100s, H100s), internal datasets, and modern MLOps tooling. Clear runway for career growth, technical leadership, and IP ownership. A collaborative and ambitious team working on some of the most important problems in applied AI from Mysore and Palo Alto.,