Internship

Research Internship

Aristo

Posted on 7/19/2023

The Allen Institute for AI

The Allen Institute for AI

201-500 employees

Advances AI through research and engineering

Compensation Overview

$86.5k - $123.6k/mo

Seattle, WA, USA

Category
AI Research
Data Science
AI & Machine Learning
Data & Analytics
Connection
Connection
Connection
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Requirements
  • - Pursuing a BS, MS, or PhD in computer science or a related field
  • - Interest in cutting-edge artificial intelligence research
Responsibilities
  • - Reading the scientific literature to investigate and understand AI research
  • - Executing AI research under guidance of the mentor, which may include building AI systems or system components, developing datasets, and/or conducting experiments
  • - Meeting with the mentor to discuss research progress and ideas
The Allen Institute for AI

The Allen Institute for AI

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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, including AllenNLP for natural language processing, Aristo for scientific reasoning, 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 for free, promoting collaboration and accessibility in the AI field. The goal of AI2 is to tackle significant challenges in science and engineering to benefit society.

Company Size

201-500

Company Stage

N/A

Total Funding

N/A

Headquarters

Seattle, Washington

Founded

2014

Simplify Jobs

Simplify's Take

What believers are saying

  • The rise of open-source AI aligns with AI2's mission and enhances collaboration.
  • Increasing demand for explainable AI benefits AI2's projects like OLMoTrace.
  • AI2's focus on cost-effective models meets the growing industry need for efficiency.

What critics are saying

  • Competition from other open-source AI models may impact AI2's market influence.
  • Shifts in funding priorities could affect AI2's research sustainability.
  • Open-source models may lead to misuse, raising accountability concerns.

What makes The Allen Institute for AI unique

  • AI2 focuses on open-source AI models, unlike many proprietary competitors.
  • AI2's projects like OLMoTrace emphasize explainability in AI, a growing industry demand.
  • AI2's non-profit model allows for open collaboration and free public access to research.

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Benefits

Medical

401(k)

Visa Sponsorship

Time off

Catered meals & free snacks

Training & development

Tuition reimbursement

Remote & hybrid work options

Company News

Hugging Face
Apr 22nd, 2025
Finetuning olmOCR to be a faithful OCR-Engine

Recently, the Allen Institute for Artifical Intelligence introduced olmOCR, a model that has demonstrated impressive results in converting PDFs into clean, linearized plain text while preserving structured content.

MarkTechPost
Apr 11th, 2025
Allen Institute for AI (Ai2) Launches OLMoTrace: Real-Time Tracing of LLM Outputs Back to Training Data

The Allen Institute for AI (Ai2) recently introduced OLMoTrace, a system designed to trace segments of LLM-generated responses back to their training data in real time.

Aibase
Dec 10th, 2024
AI2 Launches Open Source Tülu3 Model, Performance Comparable to GPT-4o Mini

Recently, the Allen Institute for Artificial Intelligence (AI2) released the Tülu3 series models, a fully open-source advanced language model that competes with closed-source models like GPT-4o-mini.

Explain X
Nov 29th, 2024
QwQ-32B: OpenAI's New Challenger

Finally, the Allen Institute for AI has launched OLMo2, an advanced language model that builds on its predecessor's strengths.

DataPhoenix
Nov 28th, 2024
The Allen Institute for AI has released OLMo-2, a new family of fully open-source models

The Allen Institute for AI (AI2) has released the OLMo-2 model family, featuring fully open-source 7B and 13B-parameter models that demonstrate competitive performance against other open-weight models through innovative training techniques and transparency in model development.

INACTIVE