Research Scientist, Mosaic

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

Who You Are:

Applicants for Research Scientist on the Mosaic team at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, computer vision and machine learning, or question answering and explanation. We look favorably upon extensive work experience and publishing demonstrating application of your research.

AI2’s Mosaic team seeks a creative Research Scientist who has a strong foundation in NLP and machine learning. Research Scientists at AI2 contribute to AI2's impact-driven mission in an exciting, fast-paced research environment. They also have the opportunity to:

• Author and present high-quality scientific papers and presentations for peer-reviewed journals and conferences
• Take a leading role in implementing software systems supporting AI2’s research,
• Collaborate with and learn from team members across AI2, including scientists and engineers, 
• Mentor early-career researchers and interns on their projects, and
• Help develop collaborative relationships with relevant academic, industrial, government, and standards organizations.

The Mosaic team collaborates frequently with researchers on AI2’s other teams focused on machine learning and the Semantic Scholar engine, among others. Researchers excited about such internal and external collaborations are encouraged to apply.

Why Mosaic:

Interested in building machines with commonsense intelligence? With the Mosaic team, you will be at the forefront of research in Commonsense in AI. As a Young Investigator, you’ll have the opportunity to work on various aspects of commonsense in AI:

• How should we model commonsense reasoning capabilities?
• How should we represent commonsense in our AI models?
• How should we reason across modalities -- e.g. images and text?
• How should we collect and organize commonsense knowledge?
• How should we benchmark commonsense reasoning capabilities of AI?
• How should we reason through generation?
• How should we identify and mitigate biases in our datasets?
• How should we <your ideas here>?

Your Next Challenge:

AI2 currently has projects in the following areas:

• Language and Vision
• Information extraction and semantic parsing
• Question answering
• Language and reasoning
• Machine learning and theory formation
• Semantic search
• Natural language processing
• Diagram understanding
• Visual knowledge extraction and visual reasoning
• And more….

AI2 Research Scientists will have a primary focus in one of these specific areas but will also have the opportunity to contribute and engage in a variety of other areas critical to our research and mission. These include opportunities to participate in or lead select R&D projects, work with management to develop the long term vision for knowledge systems R&D, take a leading role in overseeing and implementing software systems supporting AI2’s research, author and present scientific papers and presentations for peer-reviewed journals and conferences, and help develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations.

What You’ll Need:

Applicants for Research Scientist at AI2 should have a strong foundation (typically PhD level) in one or more of the following areas: natural language processing, machine reading, automatic knowledge base construction, large-scale textual inference and entailment, knowledge representation and reasoning, computer vision and machine learning, or question answering and explanation. We look favorably upon extensive work experience and publishing demonstrating application of your research.

Who We Are:

The Allen Institute for Artificial Intelligence is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni. The core mission of AI2 is to contribute to humanity through high-impact research in artificial intelligence.