Full-Time

Senior Software Engineer

AI Infrastructure

The Allen Institute for AI

The Allen Institute for AI

201-500 employees

Non-profit AI research institute and tools

Compensation Overview

$126k - $189k/yr

+ Bonus

Seattle, WA, USA

In Person

On-site requirements vary by position and team; Seattle office.

Category
Software Engineering
Required Skills
Python
Computer Networking
Docker
Go
Linux/Unix

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Requirements
  • 8+ years of professional experience developing business-critical software and operating large-scale compute infrastructure.
  • Proficiency in Go and/or Python.
  • Bachelor's degree in a related field; relevant advanced degree may substitute for equivalent years of technical work experience.
  • Linux expertise: expert-level knowledge of Linux internals, and container runtimes like Docker.
  • Distributed systems expertise: proven track record of designing, debugging, and optimizing high-scale distributed systems and databases.
  • Excellent writing skills and ability to drive consensus across diverse groups of researchers and engineers.
  • A principled approach to engineering: focus on how systems are built and the constraints of a non-profit research environment.
Responsibilities
  • Designing and scaling the orchestration layer to ensure the highest value workloads receive GPU time.
  • Moving HPC operations from manual intervention to high-level automation.
  • Working directly with researchers to optimize GPU-accelerated computing environments.
  • Independent full-stack ownership to design and deliver critical systems spanning from the Beaker job scheduler to the execution runtime.
  • Build tooling and software-defined infrastructure to accelerate researcher velocity and automate cluster health management.
  • Conduct root-cause analysis on complex distributed system failures and implement optimizations for distributed workloads.
  • Provide input into the roadmap for managing large-scale HPC systems, including deployment of compute, networking, and storage in partnership with leadership.
  • Foster a high-performance culture by reviewing code/design documents, mentoring team members, and driving process improvements.
  • Collaborate effectively with internal research staff to share system designs, gather feedback, and support engineers on implementation tasks.
Desired Qualifications
  • Applied experience with workload schedulers (like Kubernetes or Slurm) and high-performance networking (NCCL and InfiniBand).
  • Prior experience training or fine-tuning frontier AI models.
  • Deep systems administration expertise or Site Reliability Engineering background in an HPC context.
  • Experience contributing to open-source infrastructure or orchestration projects.
  • Familiarity with on-prem storage systems like WEKA and Ceph.
The Allen Institute for AI

The Allen Institute for AI

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AI2 advances artificial intelligence through nonprofit research and open engineering that benefits society. It builds open projects—such as AllenNLP, Aristo, Semantic Scholar and others—that researchers use to do language understanding, reasoning, science Q&A, and literature search. Unlike many AI firms that sell products, AI2 is funded by grants and donations and releases its tools and datasets openly to the public. Its goal is to improve AI reasoning and language understanding and apply these advances to real-world problems in education, science, and policy for the public good.

Company Size

201-500

Company Stage

N/A

Total Funding

N/A

Headquarters

Seattle, Washington

Founded

2014

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Simplify Jobs

Simplify's Take

What believers are saying

  • MolmoBot achieves zero-shot sim-to-real transfer, boosting robot pick-and-place success from 56% to 76% without real-world training data.
  • OLMoEarth V1.1 reduces computational overhead for Earth system science, accelerating climate research and environmental monitoring globally.
  • SERA-32B matches closed coding agents like GLM-4.5 Air at repository level automation while training 26x cheaper via supervised learning.

What critics are saying

  • Fund for Science and Technology shifts to proposal-based funding favoring applied AI, threatening OLMo and Molmo frontier model development within 12 months.
  • Microsoft hired AI2 CEO Ali Farhadi and leads Hanna Hajishirzi and Ranjay Krishna, eroding open-model talent and widening capability gaps versus frontier labs.
  • Closed-source agents like OpenAI ChatGPT Atlas dominate web automation, limiting enterprise adoption of AI2's superior but open MolmoWeb despite strong benchmarks.

What makes The Allen Institute for AI unique

  • AI2 releases fully open models with training data, code, and checkpoints, defining 'fully open' AI research.
  • AI2 uniquely combines frontier AI research with applied projects like EarthRanger for illegal fishing and OLMoEarth for climate science.
  • AI2 operates as a non-profit funded by Paul Allen's estate and the Fund for Science and Technology, prioritizing common good over revenue.

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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

voco Hotels by IHG
Jun 8th, 2026
Ai2's Shippy AI: ocean data for maritime analysis.

Ai2's Shippy AI: ocean data for maritime analysis. 2h ago · 0:00 listen · Source: GeekWire Summary. The Allen Institute for AI, or Ai2, has launched an AI agent named Shippy. This agent helps maritime analysts answer questions about ocean activities, like illegal fishing or vessels that have disappeared. Shippy operates on Skylight's live vessel-tracking and satellite data. Every answer it provides links back to original records for verification. Skylight, a free ocean-monitoring platform, is used by over 300 organizations in about 70 countries. It flags suspicious behavior by combining satellite data with commercial imagery and tracking feeds. Ai2 has made the computer-vision models behind this project open-source. Shippy will also be free for governments, fisheries bodies, and eligible nonprofits. It currently has limited access but will expand to more users. Shippy focuses only on maritime questions and does not make legal judgments. It also declines defense-related requests and avoids guessing when data is insufficient. This tool aims to assist human decision-makers in addressing critical ocean issues. This is an AI-generated audio summary. Always check the original source for complete reporting.

SiliconANGLE Media
Mar 24th, 2026
Ai2 releases open-source visual AI agent that can take control of web browsers.

Ai2 releases open-source visual AI agent that can take control of web browsers. Allen Institute for AI, a prominent Seattle-based nonprofit research organization working on advancing artificial intelligence models and systems, today launched a new open-source AI agent that can take control of web browsers on a user's behalf and automate tasks. Web agents represent the next step of what is called vision-language models, which move large language models from understanding images and text through captions and answering questions to taking actions. Today, the company announced MolmoWeb, built on the Molmo 2 multimodal model family, available in two sizes: 4 billion and 8 billion parameters. It will be available for free, along with the weights, training data and code (coming soon), as well as the evaluation tools used to build it. It's designed to be self-hosted locally or in the cloud. To take actions, AI agents must interpret instructions from humans and what can be seen. That includes a set of tasks written in conversational language and a live web page. The AI model observes the web page through a series of screenshots and then interacts directly with it via the interface by predicting what will happen when it takes actions such as clicking, typing characters into text fields, or scrolling up and down. The company said that, unlike other open-weight web agents, MolmoWeb was trained without compressing a proprietary vision-based agent. The data comes from synthetically generated text-only accessibility agents and human usage of actual web browsing activities. The agent interface supports navigating URLs, clicking on screen coordinates, typing text into fields, scrolling through pages, opening and switching browser tabs and sending a message back to the user. All of these actions work directly within the browser, with click locations represented as coordinates in pixels when executed. Ai2 said the agent was designed this way so that it won't break if the underlying webpage code or HTML changes on the fly. For example, some web pages obfuscate, or hide, how they operate under the hood in order to protect themselves. Some of them use specialized JavaScript engines in order to detect bots, stop ad blockers, display animations, track users and more. Using the underlying code can also consume tens of thousands of tokens, the essential currency of AI operations. Visual interfaces also behave much more closely to how humans interact with web interfaces: What a person sees is how they will approach the page. It means it's easier to debug why the model did what it did. In spite of the compact size, Ai2 said MolmoWeb achieves state-of-the-art results among open-weight web agents. When tested on popular evaluation suites, the 8B model scored 78.2% on WebVoyager, 42.3% on DeepShop, and 49.5% on TailBench. It outperformed leading open-weight models such as Fara-7B across all four benchmarks. The company said that MolmoWeb can also outperform agents built on GPT-4 that rely on annotated and structured page data. Ai2 said that's a particularly important result given that those models can "see" deeply into the very code of the webpage and also have substantially larger parameter sizes - by colossal orders of magnitude. like comparing a mouse to an elephant. More access to open-weight browser AI agents will also help researchers and hobbyists develop their own web-using automations. Closed-source large language model providers have already dipped their toes into the market with agentic web browsers capable of automating web tasks, including OpenAI Group PBC and Perplexity AI Inc., with ChatGPT Atlas and Perplexity Comet, respectively. Image: allen Institute for AI. A message from John Furrier, co-founder of SiliconANGLE: Support its mission to keep content open and free by engaging with theCUBE community. Join theCUBE's Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities. * 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more * 11.4k+ theCUBE alumni - Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network. About SiliconANGLE Media SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios - with flagship locations in Silicon Valley and the New York Stock Exchange - SiliconANGLE Media operates at the intersection of media, technology and AI. Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Its new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.

NJUDEV
Mar 24th, 2026
AI2's VLA harness: robot tests get standardized.

AI2's VLA harness: robot tests get standardized. AI2 released an open-source framework for evaluating visual-language-action (VLA) models on robot simulations. This provides a unified way to compare model performance across different benchmarks. What it means for you. This tool simplifies testing AI models for robotics, potentially allowing you to integrate more advanced automation into your services and gain a competitive edge.

NJUDEV
Mar 24th, 2026
AI2's MolmoPoint: sharper vision-language understanding.

AI2's MolmoPoint: sharper vision-language understanding. AI2 presents MolmoPoint, an advancement improving how vision-language models process information. This enhancement leads to more accurate and nuanced understanding in AI systems that combine images and text. What it means for you. You'll likely see AI tools that can better understand images and text together, leading to more accurate content analysis and creation.

GeekWire
Mar 23rd, 2026
Microsoft hires former Ai2 CEO Ali Farhadi and key researchers for Suleyman's AI team.

Microsoft hires former Ai2 CEO Ali Farhadi and key researchers for Suleyman's AI team. by Todd Bishop on Mar 23, 2026 at 3:32 pm Microsoft is hiring a group of top AI researchers from the Seattle-based Allen Institute for AI and the University of Washington, including former Ai2 CEO Ali Farhadi, GeekWire has learned. Farhadi, Hanna Hajishirzi, and Ranjay Krishna are expected to join Mustafa Suleyman's organization at Microsoft while retaining their faculty positions at the UW's Allen School of Computer Science and Engineering. Also joining is Sophie Lebrecht, the former Ai2 chief operating officer. The move follows Farhadi's departure from Ai2, announced March 12. Farhadi had led the Seattle-based nonprofit research institute for more than two and a half years. In a post on LinkedIn on Tuesday, Farhadi wrote that he was excited to join Microsoft. "I believe this is an opportunity to work on something that goes beyond what a frontier lab can do alone: exploring what becomes possible when AI is built from within a frontier ecosystem," he said. Suleyman, the CEO of Microsoft AI, narrowed his focus last week from overseeing consumer-oriented Copilot products to leading Microsoft's Superintelligence team. The hires come as Microsoft works to reduce its dependence on OpenAI for frontier AI models, competing against Amazon, Google, and others. Suleyman's Superintelligence team, formed in November, is part of a broader push to further develop advanced foundation models. Microsoft has already hired researchers from Google DeepMind, Meta, OpenAI, and Anthropic, and the addition of the Ai2 and UW group would bring deep expertise in open-source model development and training efficiency - where Ai2 has punched well above its weight. Backing from NSF and Nvidia. The exits represent a notable collective loss for Ai2, which was founded in 2014 by the late Microsoft co-founder Paul Allen. Hajishirzi is a co-lead of the OLMo open-source language model project and a co-principal investigator on a $152 million, five-year initiative backed by the National Science Foundation and Nvidia to build open AI models for scientific research. She represented Ai2 in multiple sessions last week at Nvidia's GTC conference in San Jose, including a panel on the future of open models alongside Nvidia CEO Jensen Huang. Krishna has led the development of Ai2's Molmo multimodal models, among other projects. He also presented at the Nvidia conference last week on behalf of the institute. Farhadi, a computer vision specialist, co-founded Ai2 spinout Xnor.ai, which Apple acquired in 2020 for an estimated $200 million. He led machine learning efforts at Apple before returning to lead Ai2 as CEO in July 2023. Ai2 interim CEO Peter Clark acknowledged the departures in a statement, saying the institute remains committed to its mission and its partnerships with the NSF and Nvidia, including the OMAI initiative. "These initiatives are backed by a broad, experienced team with the expertise and continuity needed to carry this work forward," Clark said. "We're confident in our ability to build on the strong foundation already in place and to expand the impact of these efforts in the months ahead." He added that the institute is "grateful for the leadership and contributions of Ali, Hanna, Ranjay, and others" in advancing Ai2's work, and wished them well. In a post about the hires on LinkedIn, Suleyman praised Farhadi for leading Ai2 in releasing more than 100 models in a single year and called Hajishirzi "one of the most cited researchers of natural language processing in the world, full stop." Suleyman described Lebrecht as having scaled Ai2's operations and open-source efforts, noting that she also co-founded the AI company Neon Labs and holds a PhD in cognitive neuroscience from Brown University. He said they will help pursue Microsoft's mission of "humanist superintelligence: safer, controllable, more capable AI systems in service of humanity and our toughest problems." When news broke earlier this month that Farhadi was leaving, Ai2 board chair Bill Hilf told GeekWire that Farhadi wanted to pursue research at the extreme frontier of AI, where for-profit companies are spending billions on training the most advanced models. At the time, Hilf said the board had to weigh whether a nonprofit's philanthropic dollars were best spent trying to keep pace, acknowledging that competing against tech giants at the largest scale of model development had become extraordinarily difficult. Changes in Ai2's funding realities. Behind the scenes, the changing nature of Ai2's funding environment has also been playing a role in the exits, according to people with knowledge of the situation. Ai2 was originally funded by Allen's Vulcan Inc. and later by his estate. Its primary backer is now the Fund for Science and Technology, a $3.1 billion foundation created under Allen's instructions and publicly launched in August, with a focus on applying science and technology to problems in areas aligned with Allen's passions, including AI, bioscience, and the environment. FFST, led by CEO Dr. Lynda Stuart, a physician-scientist who previously led the Institute for Protein Design at the UW, favors applied uses of AI over the costly work of frontier models. In addition, while all Ai2 programs for 2026 are fully funded, these people said, FFST is moving from providing Ai2 with overall annual funding to a proposal-based process, with future support expected to favor real-world applications of AI over building open-source foundation models. The shift helps explain the departures of researchers focused on model development. A spokesperson for the Fund for Science and Technology said Ai2's "work and mission remain the same" and that FFST's broader program strategies are still under development. Farhadi, Hajishirzi, and Krishna are researchers whose work centers on building and advancing AI models. Microsoft's Superintelligence team, backed by billions in compute investment, offers the resources and mandate to pursue that work at a much larger scale.