Research Scientist, AllenNLP at The Allen Institute for AI

Seattle, Washington, United States

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$167,030 – $260,570Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial IntelligenceIndustries

Requirements

PhD focusing on natural language processing, machine learning, or a related area
Expertise in one or more of the following: language models, reinforcement learning, experimental methodology, the science of deep learning, or efficient algorithms for deep learning
Curiosity about all of the above is a plus
Ability to own and pursue a research agenda to improve AI models

Responsibilities

Conduct research on language models and related AI techniques
Contribute to the development of open AI models and datasets
Collaborate with a team of AI researchers and engineers
Translate complex concepts into concrete research goals and implementation steps
Execute research effectively and communicate results clearly
Create real-world applications of AI models
Contribute to the advancement of AI and language models

Skills

Key technologies and capabilities for this role

Natural Language ProcessingMachine LearningLanguage ModelsReinforcement LearningDeep LearningExperimental MethodologyPre-trainingPost-trainingData Curation

Questions & Answers

Common questions about this position

What is the salary range for this Research Scientist position?

The salary range is $167,030 - $260,570 base, plus generous bonus plans.

Is this role remote or onsite, and where is it located?

It's a hybrid role requiring onsite work in Seattle, with remote options from the Greater Seattle Area.

What are the key requirements for this Research Scientist role?

Candidates need a PhD in natural language processing, machine learning, or a related area, expertise in areas like language models, reinforcement learning, experimental methodology, the science of deep learning, or efficient algorithms for deep learning, and the ability to own and pursue a research agenda.

What is the company culture like at the Allen Institute for AI?

The institute unites the best scientific and engineering minds for close collaboration on exciting AI ideas, focusing on open models, data, and real-world impact through rapid innovation.

What makes a strong candidate for this Research Scientist position?

A strong candidate holds a PhD in NLP, ML, or related fields, has expertise in language models or related areas, demonstrates curiosity, and can independently pursue a research agenda while collaborating effectively.

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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