Jobs at Ai2

Lead product design for AI-powered environmental conservation and Earth-observation products. Conduct user research, solve complex data-heavy interaction problems, and design interfaces involving maps, dashboards, model training, evaluation metrics, agents, and geospatial data. Own work end to end from problem framing through shipping and iteration, while building design systems and collaborating closely with product, engineering, ML research, and global users.

Design, build, and operate large-scale AI/HPC infrastructure spanning job scheduling (Beaker), runtimes, networking, and storage. Drive automation, performance optimization, root-cause analysis for distributed GPU workloads, mentor engineers, and collaborate with researchers to prioritize and deliver scalable orchestration and cluster health tooling.

The Research Engineer will build AI tools for scientific discovery, developing ML and language models, and ensuring software engineering best practices in collaboration with an open-source community.

The Research Engineer will design and implement scalable machine learning systems for next-gen language models, optimizing training and inference processes, while working collaboratively and contributing to open-source projects.

As an Infrastructure Engineer, you will automate systems, troubleshoot internal systems, and enhance infrastructure to support the company's IT initiatives. You'll collaborate with teams to improve user management and security processes.

Deploy and adapt OlmoEarth machine learning models for partner use cases in Earth observation. Responsibilities include model fine-tuning, training-loop debugging, task-specific head development, large-scale deployment, partner communication, infrastructure improvements, research collaboration, UI enhancements, and agent evaluation. The role also develops repeatable processes, explores novel geospatial applications, and contributes across model pretraining, fine-tuning, inference, and platform infrastructure.

Lead end-to-end development and deployment of large open models (Olmo, Molmo), building and optimizing training/inference pipelines, dataset curation, and large-scale preprocessing; design, train, and evaluate multimodal and agentic systems; scope and run high-impact research projects; apply strong software engineering to bridge research to production and contribute to open-source releases.

Coordinate virtual and onsite interviews, manage complex calendars, serve as primary candidate contact, maintain Greenhouse records, assist with job postings and recruiting admin, troubleshoot scheduling issues, and support recruiting events and process improvements to deliver a positive candidate experience.

Temporary 9-month Senior Accountant responsible for month-end and year-end close, general ledger and bank reconciliations, grant accounting and compliance reporting, accounts payable and purchase card reporting, financial statement and management reporting, and supporting audits and process improvements.

The role involves developing AI-powered user interfaces and backend services, collaborating with teams, improving system reliability, and mentoring junior engineers.

The Research Scientist will develop core research problems in robotics, engage in simulations, lead projects, mentor interns, and collaborate widely.

Senior HR business partner responsible for advising leaders, designing and executing talent programs, workforce planning, employee relations, compliance, and employee experience initiatives. Drives talent assessment, development, employer branding, and data-driven people decisions while partnering with cross-functional teams to attract, retain, and grow technical talent.

The role involves developing and maintaining robotic control stacks, managing sim-to-real pipelines, and collaborating with researchers on robotic learning projects.

The Young Investigator in Robotics will focus on developing and applying AI methods in robotics, including manipulation, skill learning, and sim-to-real transfer while individually pursuing independent research.

The Research Scientist will develop AI systems with deep reasoning capabilities, contribute to open-source research, and mentor early-career researchers. Responsibilities include leading foundational research, authoring technical reports, collaborating with teams, and advancing agentic systems.

Own end-to-end biweekly multi-state US payroll and manage international payroll via EOR partners. Maintain integrations, automate processes, build AI-assisted payroll dashboards, perform reconciliations and tax filings, administer 401(k), maintain audit-ready SOPs, and partner with People Operations and Finance to resolve payroll issues and ensure compliance.

Collaborate with Ai2 researchers on language-model and NLP research, gain hands-on experience with Ai2's data and engineering infrastructure, co-author papers for top venues, and prepare for PhD studies. Work is research-focused with mentorship and no teaching/admin duties. On-site work in Seattle is expected.

Manage federal and private grant lifecycles including onboarding, post-award administration, subrecipient monitoring, budget tracking, reporting, and maintaining audit-ready records. Act as GMS power-user, support federal submission systems, schedule meetings, document control, and help implement AI-augmented administrative workflows.

The role involves leading a research project on large language models, mentoring junior researchers, and publishing scientific papers, with a focus on advanced natural language processing methods.