Research Internship, OLMo at The Allen Institute for AI

Seattle, Washington, United States

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$94,320 – $140,000Compensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

AI Research, Natural Language ProcessingIndustries

Requirements

Pursuing a degree in Computer Science or similar field with research experience in 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 a master/undergraduate student with a strong research background
Ability to work from offices in Seattle
Must be able to remain in a stationary position for long periods of time
The ability to communicate information and ideas so others will understand and exchange accurate information

Responsibilities

Define and lead a high-impact research project
Train and release leading models
Collaborate with and learn from team members across Ai2
Build open-source software for the research community
Author scientific papers for publication in a high-profile conference or journal

Skills

Key technologies and capabilities for this role

Natural Language ProcessingMachine LearningOpen Language ModelsModel TrainingOpen-Source SoftwareScientific ResearchPaper Writing

Questions & Answers

Common questions about this position

What is the compensation for the Research Internship?

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

Is this internship remote or does it require office work?

Persons in these roles are expected to work from our offices in Seattle.

What qualifications are required for the Research Internship?

Candidates must be a PhD candidate or a master/undergraduate student pursuing a degree in Computer Science or similar field with research experience in machine learning, natural language processing, or language.

What is the company culture like for this internship?

The internship offers a fast-paced research environment where interns are paired with mentors, encouraged to lead high-impact projects, collaborate openly including with external researchers, and publish papers freely, with a commitment to open science.

What makes a strong candidate for this internship?

Strong candidates are PhD candidates or master/undergraduate students pursuing a degree in Computer Science or similar with a strong research background in machine learning, natural language processing, or language.

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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