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This listing was closed on Aug 22, 2026.
Browse Open JobsResearch Engineer, Asta
Summary by AIEngineer.careers
Research Engineer, Asta is a AI Research Engineer role (full-time). with The Allen Institute for Artificial Intelligence. in SEATTLE, US. Compensation shown: $119K–$178K. Imported listing (source: jobs-radar.com). Apply on the employer's site (jobs-radar.com).
Imported listing (source: jobs-radar.com) · Apply on jobs-radar.com
SEATTLE · US
$119K–$178K
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobs-radar.com
AI2's Asta Project is seeking a Research Engineer to develop AI research assistants for scientific discovery. The role involves building infrastructure for LLMs and agentic research, creating AI tools for science, and bridging research to product. Ideal candidates have experience with Python, PyTorch, agentic frameworks, and cloud computing.
Responsibilities
- Build infrastructure for next-generation LLM and agentic research
- Create AI tools to facilitate scientific discovery in domains like biology, cancer research, neuroscience, etc.
- Design, build, and train machine learning or language models for agentic workflows
- Bridge cutting-edge research to widely adopted products
- Bring software engineering best practices to research environment
- Support and collaborate with open-source community
- Release contributions as open source software, model releases, and datasets
Requirements
- Bachelor's degree in CS/EE/Data Science/Applied Mathematics/Statistics/ML/NLP or related field
- 2+ years experience building agentic infrastructure
- 2+ years experience building infrastructure for data preprocessing and ML model training, evaluation, deployment
The Allen Institute for Artificial Intelligence
Seattle · US · 316+ employees
The Allen Institute for Artificial Intelligence (Ai2) is a non-profit research institute founded in 2014 by Paul Allen. It conducts high-impact research and engineering in artificial intelligence, focusing on areas such as large-scale open models, data, robotics, and conservation.
