This internship offers a unique opportunity to contribute to cutting-edge research in AI in an exciting, fast-paced research environment.

As a Research Intern, you will have the opportunity to:

• 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 a high-profile conference or journal.

Qualifications:

• Pursuing a doctoral 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).

Bonus qualifications:

• A strong publication record at AI-related venues, such as NeurIPS, ICLR, ICML, COLM, ACL, EMNLP.
• Experience in related areas of foundation model research like training dynamics, scaling laws, efficiency, data curation, post-training methods (e.g., SFT, DPO, RL), agentic training and infrastructure, and applications in scientific domains.
• Contributions to open-source research libraries (e.g., PyTorch, Huggingface Transformers, olmo-core, AllenNLP).

Duration: 12 weeks Start date: Flexible

We are currently hiring for start dates in 2027. If you have questions, feel free to reach out to olmo-careers@allenai.org. Please apply by January 8, 2027 at 11:00pm Pacific Time to be considered for our Spring/Summer 2027 internships.

Benefits:

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
• Team members will accrue sick days per year in line with Seattle sick time requirements.

Job Data by YubHub.

The successful candidate will work at the intersection of machine learning and biology, designing careful experiments, working independently, and communicating with researchers from different disciplines.

Responsibilities:

• Develop a multimodal language model that combines single-cell gene-expression data with text, using an open model such as OLMo.
• Reproduce and evaluate relevant approaches, including scGPT, Geneformer, CellWhisperer, and C2S-Scale.
• Adapt and improve these approaches for brain and neurodegeneration data.
• Design controlled experiments to test whether language grounding improves performance over cell-only and text-free baselines.
• Develop representations at the brain-region and donor levels that incorporate pathology and disease progression.
• Evaluate models on held-out donors using measures such as cell-type and marker recovery, agreement with known patterns of regional vulnerability, and expert review of plain-language answers.
• Work with Allen Institute scientists to interpret results and identify predictions suitable for experimental follow-up.
• Release data, code, and model weights, and prepare the results for publication.

Requirements:

• A completed PhD, or a PhD expected within one year, in machine learning, computational biology, computational neuroscience, physics, or a related quantitative field.
• Hands-on experience training or fine-tuning transformer-based language models.
• Strong Python and PyTorch skills.
• Experience writing reliable, reproducible research code.
• The ability to carry out independent research on open-ended problems.
• The ability to communicate clearly with both machine-learning researchers and biological scientists.

Benefits:

• Medical, dental, vision, and employee assistance program coverage for team members and their families.
• Health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending account plans.
• 401k plan.
• $125 per month for commuting or internet expenses.
• $200 per month for fitness and wellbeing expenses.
• Up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year, and twelve paid holidays throughout the calendar year.
• Annual bonuses.

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You will join a small team to develop the desired NeuralGCM+ model and foster its uptake by the climate modeling community. This includes coupling it to an ML-based ocean model and designing approaches to demonstrably improve its skill in unseen climates.

As a YI, you will lead the design and evaluation of NeuralGCM+ training and testing cases, using both historical data and customized physics-based climate model outputs, and collaborate with other team members on conceiving and implementing NeuralGCM+ model improvements suggested by these cases.

Responsibilities:

• Select, design and evaluate NeuralGCM+ training and testing cases, using both historical data and customized physics-based climate model outputs.
• Conceive and implement NeuralGCM+ model improvements that increase its generalizability to unseen climates and improve the simulated coupling between earth system components such as the atmosphere, ocean, land, and sea ice, in collaboration with other team members.
• Present results at major relevant AI and climate modeling conferences and in peer-reviewed publications.
• Open-source code development as part of a tightly connected team, including daily meetings, code review, design documents and interaction with external collaborators.
• Mentor interns as appropriate.

Requirements:

• Substantial experience building and deploying a relevant ML application in a practical or academic research setting and be fluent in Python and collaborative coding practices.
• Ph.D. in computer or computational science, applied mathematics/statistics, or atmospheric science or a related geophysical science, with at least one accepted conference paper or peer-reviewed first-authored publication making extensive use of ML.
• Demonstrated excellent communications skills.

Benefits:

• Medical, dental, vision, and employee assistance program coverage for team members and their families.
• Health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending account plans.
• 401k plan.
• $125 per month for commuting or internet expenses and $200 per month for fitness and wellbeing expenses.
• Up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year, and twelve paid holidays throughout the calendar year.
• Annual bonuses.

Job Data by YubHub.

The ideal candidate will have significant experience building and training modern foundation models, including developing training pipelines and curating high-quality training data.

The Open Ecosystem team, responsible for the Olmo and Molmo model series, develops and releases truly open AI research and best-in-class artifacts that transform the way researchers, scientists, and practitioners think about and participate in AI research, development, and societal impact.

Responsibilities:

• Provide scientific leadership and define and conduct ground-breaking research
• Lead small teams and help drive and refine Ai2's mission in an exciting, fast-paced research environment
• Oversee and implement software systems supporting Ai2's research
• Author and present scientific papers and presentations for peer-reviewed journals and conferences
• Develop collaborative and strategic relationships with relevant academic, industrial, government, and standards organizations

Requirements:

• Strong foundation (PhD level) in areas of artificial intelligence, machine learning, or related domains
• Significant experience building and training modern foundation models, including developing training pipelines and curating high-quality training data
• Expertise in agentic training, passion for applying AI to accelerate scientific discovery, and experience with multimodal data

Benefits:

• Medical, dental, vision, and employee assistance program
• Health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending account plans
• 401k plan
• $125 per month for commuting or internet expenses
• $200 per month for fitness and wellbeing expenses
• Up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year, and twelve paid holidays throughout the calendar year
• Annual bonuses and long-term incentive plan

Job Data by YubHub.

Key responsibilities:

• Building and optimizing infrastructure for LLM, multimodal, and agentic research
• Designing, training, and evaluating multimodal models and agentic workflows
• Scoping and leading research projects, prioritizing experiments for highest impact
• Bringing strong software engineering practices to a research environment
• Contributing to and supporting the open-source community through model releases, datasets, public APIs, and technical reports

Requirements:

• 8 years of industry experience with 4+ years of ML infrastructure experience
• Experience with end-to-end model development, including dataset construction, training, fine-tuning, evaluation, profiling, and monitoring
• Familiarity with modern model architectures, including LLMs, vision-language models, and agentic systems
• Strong software engineering fundamentals, with proficiency in Python and a major ML framework
• Familiarity with cloud and containerization, such as GCP, AWS, or Docker
• Strong communication and collaboration skills

Benefits:

• Medical, dental, vision, and employee assistance program coverage
• Health savings account plan, healthcare reimbursement arrangement plan, and flexible spending account plans
• 401k plan
• $125 per month for commuting or internet expenses
• $200 per month for fitness and wellbeing expenses
• Up to 10 sick days, 7 personal days, and 20 vacation days per year
• 12 paid holidays throughout the calendar year
• Annual bonuses and long-term incentive plan

Job Data by YubHub.

As a Senior Product Manager, you will own the engineering and data frameworks of Asta, working closely with researchers and engineers to define requirements, build roadmaps, and drive execution.

Key responsibilities include:

• Defining Asta engineering requirements by working directly with Ai2 researchers
• Building and sequencing the roadmap for Asta's agentic framework and its supporting tools
• Creating and running a continuous feedback loop between engineering and research
• Driving adoption of Asta's tools among Ai2's own researchers
• Project managing and driving execution across Asta engineering workstreams
• Owning the Semantic Scholar platform end to end
• Developing and executing Ai2's benchmarking strategy for scientific agents
• Ensuring regulatory and governance compliance for these products

Requirements:

• Bachelor's degree and 5-8+ years of product management experience
• Demonstrated ability to translate ambiguous needs into concrete engineering requirements
• Experience partnering closely with an engineering team on a technical platform
• Genuine interest in AI research, agentic systems, and their application to scientific discovery
• Strong written communication and excellent stakeholder management skills

Nice to have:

• Direct experience with agent frameworks, LLM tooling, or orchestration platforms
• Experience building or maintaining public-facing developer products
• Familiarity with data privacy and governance regulations
• Experience in a research organization, national lab, or academic environment

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Responsibilities:

• Develop and maintain complete control stacks for robotic systems, including low-level control, motion planning, and integration of learned policies.
• Develop and maintain the sim-to-real pipeline, including system identification, understanding simulation models, and deploying learned policies from simulation to real hardware.
• Lead robot set-up across manipulation and mobile hardware platforms, including integration, calibration, and system tuning.
• Diagnose and resolve complex system behaviors across hardware, software, and runtime.
• Collaborate closely with researchers to translate algorithms into reliable, real-world robotic behavior.
• Work with modern GPU-accelerated simulation frameworks to enable large-scale experimentation.

Requirements:

• Master's + 3 years experience or PhD in robotics or relevant field. Exceptional candidates with a bachelor's degree and 3+ years of industry experience are also welcome to apply.
• Proficiency in Python and modern robotics / simulation ecosystems.
• Strong depth of experience working with either physical robots or robotic simulation.
• Strong development and debugging skills across the full robotics stack.
• Clear communication and ability to collaborate effectively with research teams.
• A structured, systems-oriented approach to building and improving complex robotic infrastructure.

Benefits:

• Medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program.
• Voluntary life insurance program, voluntary accidental death and dismemberment program, health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending account plans.
• 401k plan.
• $125 per month to assist with commuting or internet expenses.
• $200 per month for fitness and wellbeing expenses.
• Up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year, and twelve paid holidays throughout the calendar year.
• Annual bonuses and long-term incentive plan.

Job Data by YubHub.

You will experiment with large-scale simulation tools and robots in the real world, and work on multiple exciting research projects. You will also have the opportunity to lead projects, mentor interns and pre-doctoral candidates, author and present scientific papers, and collaborate with researchers at other organizations.

Our team is led by Dieter Fox, and we aim to develop and leverage scalable simulation domains to scientifically investigate the scaling and generalization capabilities of foundation models for robotics. We are committed to fully open-source research and work toward application domains with a positive impact on society.

Responsibilities:

• Develop and investigate core research problems in foundation models for robotics
• Contribute to the development of open methods, data sets, benchmarks, and models
• Experiment with large-scale simulation tools and robots in the real world
• Lead projects, mentor interns and pre-doctoral candidates, author and present scientific papers
• Collaborate with researchers at other organizations

Requirements:

• A strong foundation (typically PhD level) in one or more of the following areas: robot manipulation, planning and control, RL and imitation learning, real-world robot systems, simulation environments and sim2real, and world models and foundation models
• A strong publication record in AI-related areas
• Strong software engineering skills
• Experience working with real robot systems and/or with deep learning frameworks

Benefits:

• Medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program
• Voluntary life insurance program, voluntary accidental death and dismemberment program, health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending account plans
• 401k plan
• $125 per month to assist with commuting or internet expenses
• $200 per month for fitness and wellbeing expenses
• Up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year, and twelve paid holidays throughout the calendar year
• Annual bonuses and long-term incentive plan

Job Data by YubHub.

You will join a small team to develop the desired NeuralGCM+ model and foster its uptake by the climate modeling community. This includes coupling it to an ML-based ocean model and designing approaches to demonstrably improve its skill in unseen climates.

Responsibilities:

• Designing, implementing and testing a strategy for coupling NeuralGCM with the chosen ocean model.
• Designing, implementing and testing a strategy for decomposing physical parameterizations and constraints into parts encoded based on physical equations vs. parts that can be learned from historical observations.
• Presenting results at major relevant AI and climate modeling conferences and in peer-reviewed publications.
• Open-source code development as part of a tightly connected team, including daily meetings, code review, design documents and interaction with external collaborators.
• Mentoring postdocs and interns.

Requirements:

• Substantial experience building and deploying a relevant ML application in a practical or academic research setting.
• Fluent in Python and collaborative coding practices.
• Ph.D. in computer or computational science, applied mathematics/statistics, or atmospheric science or a related geophysical science.
• At least one accepted conference paper or peer-reviewed first-authored publication making extensive use of ML.
• Demonstrated excellent communications skills.

Benefits:

• Medical, dental, vision, and employee assistance program coverage for team members and their families.
• Health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending account plans.
• 401k plan.
• $125 per month for commuting or internet expenses.
• $200 per month for fitness and wellbeing expenses.
• Up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year, and twelve paid holidays throughout the calendar year.
• Annual bonuses and long-term incentive plan participation.

Job Data by YubHub.

Your Role: You will be a part of the core team of research scientists and machine learning engineers at Ai2, leading foundational research to advance agentic systems, shaping our strategic direction, and laying the groundwork for future innovations. You will work towards long-term ambitious research goals while identifying intermediate milestones.

Key Responsibilities:

• Contribute to Ai2's open-source research environment to innovate, study, and advance the science of generative AI and agentic systems.
• Take a leading role in building artifacts and implementing software systems with real-world impact.
• Author and present high-quality scientific technical reports, papers, and presentations.
• Collaborate with and learn from team members across Ai2, including scientists and engineers.
• Mentor early-career researchers and interns on their projects.
• Develop collaborative relationships with relevant academic, industrial, government, and standards organizations.

Requirements:

• A PhD focusing on machine learning, reasoning, natural language processing, human-computer interaction, or a related area, with expertise in one or more of the following: agentic orchestration/systems, interactive and intelligent interfaces, reinforcement learning, experimental methodology, language models, the science of deep learning, or efficient algorithms for deep learning.
• The ability to own and pursue a research agenda to improve AI model reasoning capabilities.
• Enthusiasm for collaboration and teamwork on ambitious projects aligned with the mission of advancing AI for Science.
• Contributions to open-source research libraries and an interest in continuing such work (a plus).

Benefits:

• Medical, dental, vision, basic life insurance, basic accidental death and dismemberment insurance, short-term disability, long-term disability, and an employee assistance program.
• Voluntary life insurance program, voluntary accidental death and dismemberment program, health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending account plans.
• 401k plan.
• $125 per month for commuting or internet expenses.
• $200 per month for fitness and wellbeing expenses.
• Up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year, and twelve paid holidays throughout the calendar year.
• Annual bonuses and participation in the long-term incentive plan.

Job Data by YubHub.

Responsibilities:

• Conducting AI research under the guidance of a mentor, which may include building AI systems or system components, developing datasets, and/or conducting experiments.
• Reading the scientific literature to investigate and understand AI research.
• Meeting with the mentor to discuss research progress and ideas.

Requirements:

• Pursuing a PhD in robotics, machine learning, or related fields.
• Have an interest and experience in cutting-edge artificial intelligence and robotics research.

Preferred Qualifications:

• Proven track record of publishing at robotics and AI conferences, such as CoRL, ICRA, IROS, RSS, and Neurips.
• Strong software engineering skills in physics simulation, machine learning, and robot control.

Benefits:

• Medical, dental, vision, and an employee assistance program.
• Health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending account plans.
• $125 per month to assist with commuting or internet expenses.
• $200 per month for fitness and wellbeing expenses.
• Accrue sick days per year in line with Seattle sick time requirements.
• Paid holidays.

Job Data by YubHub.

You will join a small team to develop the desired NeuralGCM+ model and foster its uptake by the climate modeling community. This includes coupling it to an ML-based ocean model and designing approaches to demonstrably improve its skill in unseen climates.

Responsibilities:

• Adapting the training pipeline and data needs of NeuralGCM to run efficiently on Google Cloud resources and on NVIDIA GPUs.
• Documenting this training pipeline and distributing code on a GitHub repo.
• Implementing and testing a strategy for coupling NeuralGCM with the chosen ML ocean model.
• Open-source code development as part of a tightly connected team, including daily meetings, code review, design documents and external collaborators.
• Develop and present tutorials on NeuralGCM+ to interested user groups.

Requirements:

• 2-4 years of experience building and deploying a relevant ML application in a practical or academic research setting and be fluent in Python and collaborative coding practices.
• A B.Sc. in computer or computational science, atmospheric science or a related geophysical science, or applied mathematics/statistics.
• Experience in developing ML training code for use in a cloud computing environment.
• Demonstrated excellent communications skills.

Benefits:

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

Job Data by YubHub.

The Predoctoral Young Investigator (PYI) program offers predoctoral candidates the opportunity to prepare for graduate-level research through partnership with strong mentors, participation in cutting-edge research, and co-authorship of papers at top venues.

Responsibilities:

• Gain strong research experience through direct collaboration with Ai2 researchers.
• Co-author papers with Ai2 researchers and get published in top venues.
• Learn about and leverage Ai2's data, engineering infrastructure, and research tools.
• Gain industry experience in a supportive, agile, mission-driven environment.

Requirements:

• A bachelor's or master's degree in a relevant field with a desire to enter a PhD program in the next 1-3 years.
• Ability to remain in a stationary position for long periods of time.
• Ability to communicate information and ideas effectively.
• Ability to observe details at close range.
• Ability to work under deadlines.

Benefits:

• Medical, dental, vision, and employee assistance program coverage for team members and their families.
• Health savings account plan, healthcare reimbursement arrangement plan, and health care and dependent care flexible spending account plans.
• 401k plan.
• $125 per month for commuting or internet expenses.
• $200 per month for fitness and wellbeing expenses.
• Up to 10 sick days, 7 personal days, and 20 vacation days per year.
• 12 paid holidays throughout the calendar year.

Job Data by YubHub.