Research Internship, AI for Science at The Allen Institute for AI

Seattle, Washington, United States

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$94,320 – $140,000Compensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

AI, Scientific ResearchIndustries

Requirements

PhD student with a strong research background in Computer Science or a related field, with a specific focus on one or more of the team’s active research areas (e.g., Agentic planning, reasoning, learning, and evaluation; Automated and AI-assisted scientific discovery; Data-driven discovery; Human-AI Collaboration, esp Literature Sensemaking and Research Ideation; Human-Agent Collaboration: Proactivity, Long-running agent, Memory and context management; Scientific Literature Understanding, RAG, Multi-doc summarization; Continual learning, representation, and reasoning; Post-training, model tuning, distillation, and specialization)
Publication record in AI-related venues (e.g., ACL, EMNLP, CHI, UIST, CSCW, NeurIPS, ICML, ICLR, SIGIR, ASSETS)
Strong software engineering skills, with experience in system building (e.g., React and Typescript) OR deep learning frameworks (e.g., PyTorch) OR agentic frameworks (e.g., Autogen)
Ability to remain in a stationary position for long periods of time
Ability to communicate information and ideas so others will understand, and exchange accurate information
Ability to observe details at close range
Ability to work under deadlines
Willingness to work from offices in Seattle

Responsibilities

Conduct high-impact research and author scientific papers for publication in high-profile computing conferences and journals
Collaborate with and learn from a dedicated Ai2 mentor and other team members across Ai2, including scientists and engineers

Skills

Agentic Planning

Reasoning

Learning

Evaluation

Scientific Discovery

Data-driven Discovery

Human-AI Collaboration

Literature Sensemaking

Research Ideation

Human-Agent Collaboration

Proactivity

Memory Management

Context Management

Scientific Literature Understanding

RAG

Multi-doc Summarization

Continual Learning

Representation Learning

Model Tuning

Distillation

The Allen Institute for AI

Advances AI through research and engineering

About The Allen Institute for AI

The Allen Institute for Artificial Intelligence (AI2) focuses on advancing artificial intelligence through research and engineering. It develops technologies that improve machine reasoning, common sense for AI, and language modeling. AI2 works on various projects, such as AllenNLP for natural language processing and EarthRanger for environmental monitoring. Unlike for-profit companies, AI2 operates as a non-profit, relying on grants and donations to fund its initiatives. This allows them to provide their research and tools to the public for free, promoting collaboration in the AI field. The goal of AI2 is to tackle significant scientific and engineering challenges to benefit society.

Seattle, WashingtonHeadquarters

2014Year Founded

N/ACompany Stage

AI & Machine LearningIndustries

201-500Employees

Benefits

Medical

401(k)

Visa Sponsorship

Time off

Catered meals & free snacks

Training & development

Tuition reimbursement

Remote & hybrid work options

Risks

Competition from OpenAI's QwQ-32B model may reduce AI2's market influence.

AI2's reliance on grants poses financial risks during economic downturns.

Open-source models may face intellectual property risks and misuse.

Differentiation

AI2 focuses on open-source models, promoting transparency and collaboration in AI development.

AI2's projects like AllenNLP and Semantic Scholar address diverse scientific and societal challenges.

AI2 operates as a non-profit, relying on grants and donations for funding.

Upsides

AI2's open-source models attract researchers, enhancing collaboration and innovation.

Tülu3 and OLMo-2 models position AI2 as leaders in open-source AI.

AI2's multimodal models meet the demand for integrated data processing in various fields.

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