Description
The Machine Learning Research Group is searching for an outstanding PhD researcher with experience in Computer Vision and Vision Language Models to join our research team. We are passionate about research that both advances science and has impact in the real world. You will be part of an amazing collaborative research team that publishes at the top venues in machine learning and artificial intelligence. Our expertise includes recommender systems, content moderation, foundation models, privacy preserving technology, probabilistic programming, and AI agents, just to name a few. Your contributions have the chance to create real impact.
**Responsibilities
What you'll be doing:**
- Research and implement foundation models for video and image understanding. Topics of interest include but are not limited to, Video Question Answering, Video Captioning, and Video to Text Retrieval
- Contribute to research that may lead to publications or conference presentations
- Create new datasets that push the limits of existing AI and ML technology
- Collaborate with team members and cross-functional teams
- Transfer technology to product groups Collaborate with external researchers
What you'll bring:
- Ph.D. in the field of Computer Vision, Machine Learning, Artificial Intelligence, or equivalent
- 3+ years of post-PhD research or industry experience in Computer Vision, with a strong background in the theory and practice of Vision Foundation Models
- Excellent programming and debugging skills in Python
- Hands on experience with common machine learning frameworks, such as PyTorch
- Experience in analyzing and collecting data from various sources, and thorough understanding of experimental practices, error analysis, and evaluation approaches
- Outstanding research track record
- Experience collaborating in a team environment on research projects Excellent communication skills
The Team:
The Machine Learning Research Group is an advanced research organization in Oracle. We focus on the development of technologies that keep Oracle at the forefront of the computer industry. Our researchers look for novel approaches and methodologies, often taking on projects with high risk or uncertainty, or that are difficult to tackle within a product development organization. Our research is focused on real-world outcomes: our researchers aim to develop technologies that will play a significant role in the evolution of technology and society.
What you'll be doing:
- Research and implement foundation models for video and image understanding. Topics of interest include but are not limited to, Video Question Answering, Video Captioning, and Video to Text Retrieval
- Contribute to research that may lead to publications or conference presentations
- Create new datasets that push the limits of existing AI and ML technology
- Collaborate with team members and cross-functional teams
- Transfer technology to product groups Collaborate with external researchers
What you'll bring:
- Ph.D. in the field of Computer Vision, Machine Learning, Artificial Intelligence, or equivalent
- 3+ years of post-PhD research or industry experience in Computer Vision, with a strong background in the theory and practice of Vision Foundation Models
- Excellent programming and debugging skills in Python
- Hands on experience with common machine learning frameworks, such as PyTorch
- Experience in analyzing and collecting data from various sources, and thorough understanding of experimental practices, error analysis, and evaluation approaches
- Outstanding research track record
- Experience collaborating in a team environment on research projects Excellent communication skills
The Team:
The Machine Learning Research Group is an advanced research organization in Oracle. We focus on the development of technologies that keep Oracle at the forefront of the computer industry. Our researchers look for novel approaches and methodologies, often taking on projects with high risk or uncertainty, or that are difficult to tackle within a product development organization. Our research is focused on real-world outcomes: our researchers aim to develop technologies that will play a significant role in the evolution of technology and society.
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