Research Scientist, Mosaic
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.
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.
In addition to AI2’s core mission, we also aim to contribute to humanity through our treatment of each member of the AI2 Team. Some highlights are:
- We are a learning organization – because everything AI2 does is ground-breaking, we are learning every day. Similarly, through weekly AI2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, AI2 is place where you will have opportunities to continue learning alongside your coworkers.
- We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind.
- We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
- We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
- We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
- We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
- We are friendly– chances are you will like every one of the 100+ (and growing) people who work here. We do.
AI2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
If you need assistance or an accommodation due to a disability, you may contact us at email@example.com or you may call us at 206-548-5600.