Young Investigator, FlexOlmo at The Allen Institute for AI

Berkeley, California, United States

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$159,650 – $159,650Compensation

Internship, Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, ResearchIndustries

Requirements

Within one year of completing PhD or already have a PhD in Computer Science or similar field
Research experience in machine learning, natural language processing, language and vision, or related areas
Outstanding individual contributor (IC) skills, especially with deep learning frameworks (e.g., PyTorch)
Outstanding publication record at AI-related venues (e.g., NeurIPS, ICLR, ICML, COLM, ACL, EMNLP), evaluated for rigor and impact

Responsibilities

50% work leading and collaborating on an Ai2 project as an independent contributor (IC)
50% work mentoring junior researchers (PhD students/interns, predoctoral students/interns)
Opportunities to receive mentorship in academic activities such as grant writing and teaching (if desired)
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 high-profile conferences or journals

Skills

Key technologies and capabilities for this role

Large Language ModelsMixture-of-ExpertsLong-Context Language ModelsRetrievalNatural Language ProcessingMachine LearningOpen-Source SoftwareScientific Papers

Questions & Answers

Common questions about this position

What is the compensation for the Young Investigator position?

The compensation is $159,650.

Is remote work allowed for this role?

Persons in these roles are welcome to work remotely from Berkeley, CA, though Postdoctoral Young Investigators will be based in Berkeley, California.

What are the key qualifications for this position?

Candidates must be within one year of completing their PhD or already have a PhD.

What is the team culture like at FlexOlmo?

FlexOlmo is a small, tightly knit team focused on one high-impact project, encouraging open collaboration including with external researchers, and committed to open science.

What makes a strong candidate for the Young Investigator role?

Talented and motivated postdoctoral researchers within one year of PhD completion or with a PhD, interested in leading high-impact research on Mixture-of-Experts, long-context language models, and retrieval.

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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