The Allen Institute for Artificial Intelligence
Artificial Intelligence
ResearchEngineer
“Research Engineer at The Allen Institute for Artificial Intelligence. Skills: AI, LLM, agentic systems, scientific discovery, machine learning, natural language processing, Python, PyTorch/Jax/Tensorflow, cloud computing, containerization. Building infrastructure to facilitate the next generation of LLM and agentic research. Creating AI tools to facilitate scientific discovery”
What You'll Achieve.
rapidly advance science; accelerate science with intelligent and interactive research assistants; deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond; powerful research results which drive our mission forward
Industry & Context.
Must be able to remain in a stationary position for long periods of time, The ability to observe details at close range, Can work under deadlines, Equal Opportunity employer, participates in E-Verify, reasonable accommodations to employees and applicants with disabilities
What They're Looking For.
Must Have
expertise in building ML infrastructure, 2+ years of experience building agentic infrastructure that handles tools, skills, and other artifacts, 2+ years of experience building infrastructure that handles data preprocessing/transformation and machine learning model training, evaluation, inference, and deployment, Knowledge of modern deep learning, natural language processing, and reinforcement learning techniques, software engineering skills, particularly around building performant systems and debugging, experience with Python and PyTorch/Jax/Tensorflow, agentic frameworks (e.g., MCP), Familiarity with cloud compute resources (e.g., GCP, AWS, Modal) and containerization (e.g., Docker), collaboration and communication skills
Nice to Have
Advanced degree in CS/EE/Data Science/Applied Mathematics/Statistics/ML/NLP or related fields and/or relevant and equivalent engineering experience, Contributions to open-source ML or research libraries (e.g., spaCy, AllenNLP, transformers, langchain), Experience successfully operating at scale in a production setting, Experience in HPC settings, Curiosity about AI research
What You'll Do.
Building infrastructure to facilitate the next generation of LLM and agentic research
Creating AI tools to facilitate scientific discovery
and training machine learning or language models for agentic workflows
Bridging the gap between cutting-edge research and a widely adopted product
Bringing software engineering best practices to a research environment
Supporting and collaborating with an open-source community
Releasing contributions back to the broader community in the form of open source software
and additions to Ai2’s public API and open research datasets
as well as technical reports
How You'll Work.
Team & Collaboration
collaborating with an open-source community; working closely with others, sometimes with complementary skills/perspectives; collaborative environment; team members are happiest and most productive when their work/life balance is optimized; collaborative and transparent
Communication Scope
ability to communicate information and ideas so others will understand; exchange accurate information
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