AI Research Intern
Kitware
AI Research Intern
Kitware
Develops open-source scientific computing software
Salary Range: 40 to 60 (Currency: USD) (Pay period: per-hour-wage)
Be part of Kitware's overall mission of positive social impact through work in areas such as environmental monitoring, national and global security, ethical and responsible AI, open science, scientific computing, and medical computing.
Develop robust solutions in the various areas of AI, including Computer Vision, Natural Language Processing (NLP), Large Language Models (LLMs), Vision Language Models (VLMs), Foundation Models, etc.
Develop algorithms to solve interesting, challenging technical problems: object detection, classification, and tracking; video/image understanding and search; 3D reconstruction from aerial imagery; reasoning and alignment in decision-making; threat detection and decision alignment in cybersecurity; and many more.
Ph.D. students in Computer Science or a related AI field.
Knowledge and experience in computer vision, foundation models, LLMs, machine learning, audio processing, or related areas.
Proficiency in Python, PyTorch, Tensorflow, or other related tools.
Candidates should include a list of publications as part of their resume/CV.
Due to contractual requirements, only U.S. citizens will be considered for this position.
This is an on-site position with the expectation of 5 days/week in office.
Experience with multiple large multimodal AI models, including image, text, and speech modalities.
Publication history and desire to publish in premier academic conferences like CVPR, ICCV, ACL, EMNLP, AAAI, ICML, NeurIPS, etc.
Experience and interest in contributing to open source software community projects.
Kitware develops and supports open-source software for scientific computing and data analysis, along with custom software development, consulting, and support services. Its key projects include VTK for 3D graphics, ParaView for data visualization on VTK, CMake for cross-platform build management, ITK for medical image analysis, and Girder for web-based data management. The company combines an open-source foundation with professional services and optional proprietary solutions, and it remains employee-owned. Its goal is to help users own and control their software by providing tailored solutions and ongoing support without vendor lock-in for researchers, industry, government, and academia.
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