Senior Software Engineer, Data

• Improve the coverage and quality of the Semantic Scholar corpus across academic papers, patents, and new domain-specific datasets
• Build and maintain scalable data pipelines for corpus integration, citation resolution, and metadata enrichment
• Develop and deploy ML models for entity disambiguation, author linking, and topic classification
• Design and extend APIs that expose structured scholarly data to academic researchers and AI agent workflows
• Contribute to dashboards and tools for evaluating data quality and model precision
• Collaborate across engineering and research teams to ensure maintainability, test coverage, and robust deployment, Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at

• Bachelor's degree and 8+ years of technical experience; relevant experience may substitute for education.
• Strong Python engineering skills, especially for building and maintaining data pipelines
• Experience with SQL and schema design in production settings (PostgreSQL preferred)
• Familiarity with ML workflows (training classifiers, tuning models, deploying for inference), particularly for large-scale or ambiguous structured datasets
• Comfortable working with structured data formats (XML/JSON/Parquet) and writing ETL code
• Experience with workflow orchestration tools (Airflow or similar) and cloud infrastructure (AWS, S3, Docker)
• Strong communicator and a strong sense of ownership for results

Preferred:

• Experience with author disambiguation, entity resolution, or record linkage problems
• Experience applying vector-based similarity or topic modeling techniques to real-world corpora at scale
• Exposure to citation networks or scholarly data systems (e.g., arXiv, OpenAlex, USPTO)
• Familiarity with building APIs or data services consumed by automated or agent-based workflows

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• 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. Must be able to exchange accurate information in these situations.
• The ability to observe details at close range.
• Can work under deadlines.

The Allen Institute for Artificial Intelligence flexible benefit account, paid holidays, sick time, 401(k) United States, Washington, Seattle 2157 North Northlake Way (Show on map) May 02, 2026 Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter. Our base salary range is $126,000 - $189,000, and in addition we have generous bonus plans to provide a competitive compensation package., * Team members and their families are covered by medical, dental, vision, and an employee assistance program.

• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company's 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

The Allen Institute for AI (Ai2) is hiring a Senior Data Engineer to build the data infrastructure behind AI research agents that explore and reason over scholarly literature. You'll work on the Semantic Scholar corpus, expanding what it covers and improving the quality of what's already there, and create the APIs and tooling that these agents rely on at scale. This role sits at the intersection of data engineering and applied ML. You'll own pipelines, design schemas, and ship production services, but you'll also apply practical ML techniques (entity resolution, text classification, embedding-based similarity) to improve data quality and enrich metadata at scale, directly shaping what the agents can do. We're looking for a strong engineer who is comfortable across that full range. Who We Are: The Agentic Applications team builds open, production-grade systems that power scientific discovery and large-scale AI research. We focus on creating high-quality structured datasets, integrating diverse content types, and enabling downstream applications across search, citation analysis, and model training. The team combines strong engineering practices with close collaboration across Ai2's product and research orgs to deliver tools and infrastructure used by millions of researchers and developers worldwide., 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. 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 a 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 200+ (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. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links. This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org.