Hybrid Work Arrangement:
Persons in these roles are expected to spend part of their time on-site in our Seattle offices and may occasionally work remotely from their home in the Greater Seattle area. On-site requirements vary based on position and team. If you have questions about Hybrid work arrangements for this role, please ask your recruiter.
Compensation Range:
$167,030 - $260,570
Who You Are:
You are a creative, seasoned, hands-on Research Scientist who has experience with deep learning frameworks and a strong foundation in generative AI and natural language processing. You are excited to study and advance language models scientifically and openly. You thrive in collaborative environments, are action-oriented, and excited about contributing to Ai2's impact-driven mission in an innovative, fast-paced research environment. You can translate complex concepts and approaches into concrete research goals and implementation steps, set an approach, follow through, and present results. When it’s time to explain your ideas, you bring clarity to complex technical issues.
Who We Are:
Open Language Model (OLMo) is one of Ai2’s contributions to the science of language modeling. It is part of a larger Open Ecosystem designed to provide access to data, training code, models, and evaluation code necessary to advance generative AI through open research. Through our efforts we endeavor to empower academics and researchers more broadly to study the science of language models collectively.
Essential Functions:
- Contribute to Ai2’s open source research environment to study and advance the science of generative AI.
- 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.
- Develop collaborative relationships with relevant academic, industrial, government, and standards organizations.
What You’ll Need:
- A PhD with a focus on natural language processing or a closely related area.
- Experience holding a faculty, industry, or government researcher position.
- A specific focus and publication track record in one or more of these areas: pre-training or post-training language models; studying and understanding language models through data analyses and evaluation; generative AI in language or other modalities; experimental methodology; science of deep learning; efficient algorithms for deep learning.
- Excitement about collaboration and teamwork.
- Experience leading a team in solving analytical problems using quantitative approaches.
- Past contributions to open-source research libraries and an interest in continuing such activities, are a plus.
Physical Demands and Work Environment:
- Must be able to remain in a stationary position for long periods of time.
- The ability to communicate information and ideas so others will understand.
- The ability to observe details at close range.
A Little More About Ai2:
Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.
Commitment to 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.
Equal Opportunity Employer:
Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.