Research Internship, PRIOR at The Allen Institute for AI

Seattle, Washington, United States

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$94,320 – $140,000Compensation

InternshipExperience Level

InternshipJob Type

YesVisa

AI Research, TechnologyIndustries

Requirements

Pursuing a degree in Computer Science or similar field
Research experience in computer vision, robotics, machine learning, natural language processing, language and vision, or related areas
Strong software engineering skills, especially with deep learning frameworks (e.g., PyTorch)
PhD candidate or strong Masters/undergraduate student with a strong research background
Interest in computer vision, natural language processing, machine learning, robotics, agents, and/or embodied AI
Bonus qualifications
Strong publication record at vision- or AI-related venues, such as CVPR, ICCV, ECCV, CoRL, RSS, IROS, NeurIPS, ICLR, or similar

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
Working on team-based research in areas such as Language & Vision, Embodied AI / Robotics, Agents, or AI for Common Good

Skills

Key technologies and capabilities for this role

computer visionnatural language processingmachine learningroboticsembodied AIagentsvision-language modelsrobot foundation models

Questions & Answers

Common questions about this position

What is the compensation for the Research Internship?

Compensation is dependent on current degree enrollment: Research Intern, Undergrad: $94,320 annually; Research Intern, Masters: $106,110 annually; Research Intern, PhD: $140,000 annually.

Is this internship remote or on-site?

Persons in these roles are expected to work from our offices in Seattle, with on-site requirements varying based on position and team.

What skills or background are required for this internship?

The role targets PhD candidates or strong Masters/undergraduate students with a research background in AI-related fields, particularly computer vision, natural language processing, machine learning, robotics, agents, and/or embodied AI.

What is the company culture like for interns?

Interns work with world-class AI researchers and talented software engineers in a team-based environment focused on ambitious research for big breakthroughs in an exciting and interactive workplace, paired with a mentor and no restrictions on publications.

What makes a strong application for this internship?

Strong candidates are PhD candidates or Masters/undergraduates with a solid research background; familiarize yourself with PRIOR team projects like Molmo, MolmoAct, and apply to specific teams by January 10, 2026 for full consideration.

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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