Remote Jobs at The Allen Institute for AI

- Proficiency in Python programming - Strong understanding of infrastructure concepts and technologies - Experience with modern deep learning techniques - Solid understanding of NLP principles and practices - In-depth knowledge of language models and the transformer architecture - Ability to work independently and collaboratively within a team - Strong analytical and problem-solving abilities - Ability to translate complex technical issues into clear explanations

- 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

Candidates should possess a Ph.D. in a relevant field such as Computer Science, Artificial Intelligence, or a related discipline, and have a strong foundation in AI and reasoning. They should be passionate about pushing the boundaries of research and engineering, thrive in collaborative environments, and be eager to contribute to Ai2’s mission. Strong skills in translating complex concepts into concrete research goals and implementation steps, defining clear approaches, and communicating results…

- Strong foundation (typically PhD level) in one or more of: robot manipulation, planning and motion generation, RL and imitation learning, real world robot systems, simulation environments and sim2real, vision-language-action models - Strong publication record in AI-related areas (e.g., ICRA, RSS, CVPR, ICCV, ECCV, NeurIPS, ICLR)

- Bachelor’s degree in Finance, Accounting, or a related field - 3-5 years of related experience - Strong proficiency in Microsoft Excel - Experience with financial software (preferably Sage Intacct and Workday Adaptive Planning), data visualization tools, and grant tracking systems - Solid understanding of fund accounting, grant budgeting, and compliance (including government funding regulations such as Uniform Guidance) - Highly organized and detail-oriented, with the ability to manage multipl…

- 8+ years of technical program or product management or related experience, ideally supporting platforms, infrastructure, or developer/research tools - Program leadership: Strong track record of leading complex, cross-functional programs

- Established track record of delivering complex software solutions to delight customers - Bachelor's degree and/or Master's degree in Computer Science, or equivalent experience - A minimum of 12 years of software development experience - (Preferred) Experienced coder in Python with over 4 years experience developing applications and services in that language (Version 3.10 and above) - (Preferred) Proven track record of architecting and delivering scalable SaaS solutions built with Django, utili…

- 12+ years of progressive HR experience - Strong foundation in total rewards, HR systems, and legal compliance - Ability to manage vendors, streamline processes, and deliver exceptional support to internal stakeholders - Analytical mindset, organizational excellence, and proactive approach to solving complex challenges - Collaborative and empathetic HR leader who thrives on helping people and improving systems - Creative thinking and clear communication skills - Ability to take pride in buildin…

- 8+ years of experience in UX, product, or interaction design for complex digital products - A strong portfolio demonstrating modern, user-centered design with measurable product impact - Expertise in end-to-end product design, from problem framing through polished UI execution - Proficiency in Figma and familiarity with modern design tools - Strong UX foundation with excellent interaction and visual design judgement - Ability to translate abstract AI concepts into approachable, powerful user e…

- PhD student with a strong research background in Computer Science or a related field, with a specific focus on one or more of the team’s active research areas (e.g., Agentic planning, reasoning, learning, and evaluation; Automated and AI-assisted scientific discovery; Data-driven discovery; Human-AI Collaboration, esp Literature Sensemaking and Research Ideation; Human-Agent Collaboration: Proactivity, Long-running agent, Memory and context management; Scientific Literature Understanding, RAG,…

- 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 inform…

- Candidacy in a doctoral program in computer or computational/data science, applied math/statistics, physical sciences, or engineering (PhD candidate in Computer Science or Informatics, or in a climate-relevant physical science) - Relevant coursework and practical experience with machine learning - Strong skills in Python and collaborative software development in git - Good communication skills - Graduate-level coursework in atmospheric or climate science or some area of fluid dynamics (preferr…

- Pursuing PhD (or, in exceptional cases, MS or BS) in computer science or a related field - Strong research background (for master/undergraduate students) - Demonstrated interest in advancing the state of the art in large language model (LLM) based agents and associated environments - Passionate, early-career researcher suitable for full-time 12-week internship - Ability to work from offices in Seattle (on-site requirements vary)

- Pursuing a PhD degree 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 - Research experience in large language models, training dynamics, scaling laws, and data …

- 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