Research Core AI Scientist - Foundation Models / Deep Learning

As a Research Scientist - Core AI Lead, your role will involve inventing new methods in deep learning and foundation models. You will be responsible for owning the research cycle from literature review to hypothesis formulation, method design, conducting experiments, writing papers, creating open-source artifacts, and transferring knowledge to product teams. Additionally, you will build rigorous evaluation processes including benchmarks, baselines, statistical tests, and ensuring reproducibility. Collaboration with engineers to scale training and inference by implementing distributed training, profiling, and improving efficiency will also be a key aspect of your role. Key Responsibilities: - Invent new methods in deep learning and foundation models - Own the research cycle end-to-end - Build rigorous evaluation processes - Collaborate with engineers to scale training and inference Qualifications Required: - PhD (preferred) or MS (Research) in AI/ML/CS - First-author, peer-reviewed papers proposing new models/algorithms/objectives in top venues within the last 3-4 years - Demonstrated experience in developing solutions for tabular/structured problems - Strong understanding of math and systems including linear algebra, probability, optimization, and experience with PyTorch or JAX - Exposure to agentic AI systems and experience in research related to single or multi-agent systems Additional Details: The company is not looking for candidates with computer-vision-heavy profiles or roles limited to prompting/RAG/agent wiring without novel methods or first-author papers. They are also not considering candidates with only application/survey papers without code or ablations to reproduce claims. If you meet the requirements and are interested in this position, you can share your resume to sandhia@hiresquad.in.,