A World-Changing CompanyPalantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more.The RoleWe are looking for research interns to join our Machine Learning Team at Palantir. Our team develops novel machine learning techniques to address immediate customer needs and to ensure Palantir's platforms offer unparalleled machine learning capabilities.Ideal candidates are graduate students that are passionate about computer vision, natural language processing and deep learning. If you like to push the boundaries of what is possible, and want to address hard problems on top of unique datasets, this is the right opportunity for you! You will help us push the research boundaries across 3 different areas:Edge AI: Implementing and customizing novel techniques to enable efficient object detection model inference on edge hardware ranging from ARM and Intel CPU architectures all the way to Jetson NVIDIA GPUs. Exploring both software-only and hardware-aware approaches to optimize the latest object detection architectures on edge hardware.Few-shot learning and vision-language models: Driving novel few-shot learning solutions using the latest vision-language models to enable accurate object detection in overhead aerial imagery.Natural Language Processing (NLP): Enabling end-to-end solutions in entity, event and relationship extraction and classification, as well as in the areas of structured text extraction from documents.Technologies We UsePythonPyTorchONNXTensorRTHugging FaceDockerCore ResponsibilitiesRead, present and implement research papers in the relevant research areas of interestModify and/or invent techniques in object detection and inference optimization to optimize performance on resource constrained hardware such as ARM, Intel CPUs and NVIDIA Jetson GPUsFine-tune vision language models on unique overhead aerial imagery datasetsModify and/or invent techniques in entity, event and relationship extraction/classification, and in the area of structured text extraction from documentsWhat We ValueExperience with software-only and/or hardware-aware techniques for model inference optimization on edge devicesBackground in Computer Vision Deep Learning and Object Detection in particularExperience with TensorRT, ONNX and other optimization frameworks such as TVM and OpenVINOExperience with implementing or fine-tuning innovative deep learning models in the areas of NER and structure text extraction from documentsBackground in NLP and Deep LearningExperience with few-shot learning techniquesExperience tuning vision-language models such as CLIP or GLIPProficiency with any of the major Deep Learning frameworksBS in Computer Science or related fields. Candidates are expected to be enrolled students in a graduate program (MS or PhD).Excellent communication and collaboration skillsSalaryThe estimated salary range for this position is estimated to be $9,800/month. Further note that total compensation for this position will be determined by each individual's relevant qualifications, work experience, skills, and other factors. This estimate excludes the value of any benefits offered; and the potential future value of any long-term incentives.Life at PalantirWe want every Palantirian to achieve their best outcomes, that's why we celebrate individuals' strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-bein