Principal Research Scientist, Comp Vis & ML (PhD)

Oracle•Apply•Published 8 days ago•First seen 8 days ago

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.

Qualifications

Minimum Qualifications: PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning Techniques OR Masters or Bachelor's in one or more of these fields. Minimum 4 years work experience in the areas of machine learning, computer vision, natural language processing or data mining with a PhD OR 5+ years experience with a Master’s or Bachelor's. Preferred Qualifications: Scientific thinking and the ability to invent, with a track record of contributing to the advancement of the field. Demonstrated experience in successfully designing and shipping models using machine learning, deep learning, and statistical modeling across different data domains and modalities. Experience in optimization and scaling of ML solutions for real world business use cases. Training machine learning models with large scale data using techniques such as data and model parallels. Experience in technical leadership of data science groups/projects. Track record of innovation in creating novel algorithms and advancing state of the art solutions. Demonstrated experience in engaging and influencing business leaders in solution path design. Publications at top-tier peer-reviewed conferences or journals. Hands on experience in applicable programming languages in a production service environment. Depending on the job there may be additional minimum requirements and/or preferred qualifications.

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:

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