Student Researcher - Fall 2026

Join aisafety as a Research Engineer Intern for the Fall 2026 term! This internship is an excellent opportunity to gain hands-on experience in the field of safety engineering, where you will collaborate with seasoned professionals on innovative projects. You will be involved in research and development activities, contributing to advancements in safety solutions.

Join Sierra as an Intern in Agent Development for the Fall 2026 semester! This is an exciting opportunity to gain hands-on experience in a dynamic and innovative environment. As an intern, you will collaborate with our talented team to support various projects aimed at enhancing agent performance and development strategies.

Join Notion Labs Inc. as a Software Engineer Intern for the Fall 2026 semester! This is an exciting opportunity to work in a dynamic environment where you will contribute to innovative projects and gain hands-on experience with cutting-edge technologies.As an intern, you will collaborate with our talented engineering team to develop and improve our software solutions. You'll have the chance to enhance your skills in programming, problem-solving, and teamwork while making a real impact in our organization.

Astranis builds advanced satellites for high orbits, expanding access to secure and dedicated networks for clients such as large enterprises, governments, and the US military. With five satellites in orbit and more launches ahead, Astranis supports a commercial contract backlog exceeding $1 billion. The company is headquartered in Northern California and employs 450 engineers and entrepreneurs, backed by over $750 million from investors like Andreessen Horowitz, Blackrock, and Fidelity. The Associate Mechanical Engineer - Fall 2026 Program is a twelve-week, salaried role based in San Francisco. This program is designed for candidates who have completed or will complete their bachelor’s degree before joining. The position offers the chance to work on projects that match the complexity and impact of those assigned to full-time engineers. Role overview Work alongside the engineering team to design, build, and test satellite hardware or software. What you will do Associate Engineers at Astranis contribute directly to challenging engineering projects. Past participants have designed and tested hardware or software for the company’s first satellite. Many have continued on to full-time roles. This program emphasizes hands-on experience and meaningful project ownership. Requirements Bachelor’s degree completed or expected before the program start date Interest in satellite hardware or software engineering Note: Current college students should consider applying for the Astranis Internship program instead.

About HandshakeHandshake stands at the forefront of the evolving AI economy, serving as a vital career network that connects over 20 million knowledge workers, 1,600 educational institutions, and 1 million employers, including all Fortune 50 companies. Our platform is trusted for career discovery, hiring, and skills development, facilitating everything from freelance AI training gigs to internships and full-time careers. Our unique value proposition has resulted in exceptional growth, with our annual recurring revenue tripling in 2025.Why you should join Handshake now:Play a pivotal role in shaping the careers of individuals in the AI economy, impacting your community and peers.Collaborate closely with leading AI labs, Fortune 500 partners, and top-tier educational institutions.Be part of a team guided by experts from renowned companies such as Scale AI, Meta, xAI, Notion, Coinbase, and Palantir.Contribute to building a rapidly expanding business with substantial revenue potential.About the RoleAs an AI Research Intern at Handshake during the summer of 2026, you will be integral to our research team, which specializes in developing data engines that drive the next generation of large language models. This internship will offer you the opportunity to engage in focused projects that could lead to publishable research contributions and immediate application within our production stack. The internship is set to commence between May and June 2026.Projects You Could TackleLLM Post-Training: Explore innovative RLHF/GRPO pipelines, enhance instruction-following capabilities, and refine reasoning-trace supervision.LLM Evaluation: Develop new multilingual and domain-specific benchmarks, conduct studies comparing automatic and human preferences, and perform robustness diagnostics.Data Efficiency: Implement active-learning loops, assess data value, generate synthetic data, and devise low-resource fine-tuning strategies.Each intern will own a defined research project, receiving mentorship from a senior scientist, with the goal of producing a manuscript suitable for archival or submission to a top-tier conference.

Join Cloudflare as a Research Engineer Intern for the Summer 2026 session! This is a fantastic opportunity for students and recent graduates to gain hands-on experience in a leading tech company. As a Research Engineer Intern, you will collaborate with experienced engineers and be involved in groundbreaking research projects that enhance our product offerings and overall service quality.

Join Cloudflare as a Research Engineer Intern for Summer 2026! This is a unique opportunity to contribute to cutting-edge projects and collaborate with talented engineers in a dynamic environment. You will gain hands-on experience in research and development while working directly with our engineering teams. This internship is designed for ambitious individuals looking to kickstart their careers in technology.

Join Cloudflare as a Research Engineer Intern for the summer of 2026, where you'll have the opportunity to tackle cutting-edge challenges within a dynamic and innovative environment. This internship is designed for aspiring engineers looking to deepen their expertise while contributing to groundbreaking projects that enhance internet security and performance.

Join Anthropic as a Research Engineer focusing on Economic Research. In this role, you will leverage your analytical skills to conduct in-depth economic analysis and contribute to innovative projects aimed at enhancing our understanding of economic models and their implications.

About the TeamJoin the innovative Post-Training team at OpenAI, where we focus on refining and elevating pre-trained models for deployment in ChatGPT, our API, and future products. Collaborating closely with various research and product teams, we conduct crucial research that prepares our models for real-world deployment to millions of users, ensuring they are safe, efficient, and reliable.About the RoleAs a Research Engineer / Scientist, you will spearhead the research and development of enhancements to our models. Our work intersects reinforcement learning and product development, aiming to create cutting-edge solutions.We seek passionate individuals with robust machine learning engineering skills and research experience, particularly with innovative and powerful models. The ideal candidate will be driven by a commitment to product-oriented research.This position is located in San Francisco, CA, and follows a hybrid work model requiring three days in the office each week. Relocation assistance is available for new employees.In this role, you will:Lead and execute a research agenda aimed at enhancing model capabilities and performance.Work collaboratively with research and product teams to empower customers to optimize their models.Develop robust evaluation frameworks to monitor and assess modeling advancements.Design, implement, test, and debug code across our research stack.You may excel in this role if you:Possess a deep understanding of machine learning and its applications.Have experience with relevant models and methodologies for evaluating model improvements.Are adept at navigating large ML codebases for debugging purposes.Thrive in a fast-paced and technically intricate environment.About OpenAIOpenAI is a pioneering AI research and deployment organization dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We are committed to pushing the boundaries of AI capabilities while prioritizing safety and human-centric values in our products. Our mission is to embrace diverse perspectives, voices, and experiences that represent the full spectrum of humanity, as we strive for a future where AI is a powerful ally for everyone.

About Our TeamJoin the forefront of AI innovation with the RL and Reasoning team at OpenAI. Our team is dedicated to advancing reinforcement learning research and has pioneered transformative projects, including o1 and o3. We are committed to pushing the limits of generative models while ensuring their scalable deployment.About the RoleAs a Research Engineer/Research Scientist at OpenAI, you will play a pivotal role in enhancing AI alignment and capabilities through state-of-the-art reinforcement learning techniques. Your contributions will be essential in training intelligent, aligned, and versatile agents that power various AI models.We seek individuals with a solid foundation in reinforcement learning research, agile coding skills, and a passion for rapid iteration.This position is located in San Francisco, CA, and follows a hybrid work model of three days in the office per week. We also provide relocation assistance for new hires.You may excel in this role if:You are enthusiastic about being at the cutting edge of RL and language model research.You take initiative, owning ideas and driving them to fruition.You value principled methodologies, conducting simple experiments in controlled environments to draw trustworthy conclusions.You thrive in a fast-paced, complex technical environment where rapid iteration is essential.You are adept at navigating extensive ML codebases to troubleshoot and enhance them.You possess a profound understanding of machine learning and its applications.About OpenAIOpenAI is a pioneering AI research and deployment organization committed to ensuring that general-purpose artificial intelligence serves the greater good for humanity. We strive to push the boundaries of AI system capabilities while prioritizing safe deployment through our innovative products. We recognize AI as a powerful tool that must be developed with safety and human-centric principles, embracing diverse perspectives to reflect the full spectrum of humanity.We are proud to be an equal opportunity employer, welcoming applicants from all backgrounds without discrimination based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or any other legally protected characteristic.

Pluralis Research is at the forefront of Protocol Learning—an innovative decentralized approach to training and deploying AI models that democratizes access to this technology for individuals, rather than just large corporations. By aggregating computing resources from numerous contributors, incentivizing participation, and ensuring no single entity can dominate the model's complete weights, we are forging a truly open and collaborative pathway to cutting-edge AI.Role OverviewWe are seeking a passionate Developer Relations Lead to serve as the crucial technical liaison between Pluralis's research initiatives and the broader machine learning and systems communities. In this role, you will transform complex, groundbreaking research (including distributed training, communication-efficient model parallelism, and fault-tolerant optimization) into clear, engaging, and accessible content for researchers, engineers, and innovators.This position is not merely a traditional marketing role. We are looking for an individual who can digest our research papers, grasp the underlying architecture, and convey these insights effectively through blog posts, conference presentations, or social media updates. You will shape our technical narrative and become the face of Pluralis's contributions within the community.

abundant seeks a Research Lead based in San Francisco. This position steers research activities that help shape the company’s direction. The Research Lead partners with colleagues to analyze data, draw meaningful insights, and support projects where research has a clear business impact. Key responsibilities Plan, manage, and execute research initiatives from start to finish Work with team members to analyze data and spot important trends Turn research results into practical recommendations for the business Support projects that guide company strategy Collaboration and impact This role involves close teamwork and communication across departments. Research findings directly inform business decisions and contribute to the company’s ongoing growth.

OverviewBecome an integral part of our dynamic R&D team dedicated to developing fully automated research systems that push the boundaries of AI. Zochi has achieved a milestone by publishing the first entirely AI-generated A* conference paper. Locus has set a new industry standard as the first AI system to surpass human experts in AI R&D.Key ResponsibilitiesConceptualize and develop innovative architectures for automated research.Work collaboratively within a specialized team of researchers addressing cutting-edge challenges in long-horizon agentic capabilities, post-training for open-ended objectives, and environment crafting.Document and publish key internal findings alongside success stories from external collaborations.QualificationsPhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related discipline. Outstanding candidates with significant research contributions are encouraged to apply, regardless of formal qualifications.Demonstrated history of impactful AI/ML research contributions in academic or corporate environments.Expertise in developing long-horizon, multi-agent systems and/or model post-training, especially in scientific domains or for open-ended discovery objectives.A strong passion for advancing problem-solving processes and scientific discovery, thriving in high-autonomy roles and environments.Our CultureCompetitive compensation and equity options.Unlimited Paid Time Off (PTO), emphasizing team collaboration and a community-focused workplace.Opportunities for conference participation and engagement in community initiatives.Empowered roles with high levels of responsibility.#1: We are a small, passionate team of leading investors, researchers, and industry experts committed to the mission of accelerating discovery. Join us.

OpenAI’s Safety Systems team is building a dedicated group to tackle misalignment risks in artificial general intelligence. This San Francisco-based team focuses on identifying, quantifying, and reducing ways AGI could act against human interests as the technology matures. The work centers on safeguarding society by proactively addressing these challenges. Research Focus Areas Worst-Case Demonstrations: Develop compelling examples that show how AI systems might fail, especially in scenarios where misaligned AGI could harm human priorities. Adversarial & Frontier Safety Evaluations: Build rigorous tests using these demonstrations to measure dangerous capabilities, such as deception or power-seeking behavior. System-Level Stress Testing: Create automated infrastructure to push product stacks to their limits, adapting tests as the systems evolve. Alignment Stress-Testing Research: Study where mitigations break down, share findings to inform strategy, and work with other research groups to improve safeguards. Role Overview This Senior Researcher position centers on AI safety and red-teaming. The role involves designing and running innovative attacks, supporting adversarial evaluations, and uncovering how safety measures can fail or be improved. Insights from this work help shape both product launches and long-term safety planning at OpenAI. Key Responsibilities Develop and execute worst-case demonstrations that clarify AGI alignment risks for stakeholders in high-impact situations. Create thorough adversarial and system-level evaluations based on these demonstrations, and help integrate them across the company. Design automated tools and frameworks to strengthen red-teaming and stress-testing efforts.

The Perplexity Research Residency stands as our premier initiative designed to empower outstanding research talent from diverse fields to influence the future of artificial intelligence (AI). This program opens avenues for exceptional researchers, engineers, and analysts from disciplines outside traditional AI research to make significant contributions to the advancement of AI and its implications for users. We welcome applications from theoretical physicists, cognitive scientists, biochemists, quants, mathematicians, philosophers, and distinguished researchers in any other relevant field.For comprehensive details on the Perplexity Research Residency and the application process, please visit our program homepage. We encourage you to review the “What We’re Looking For” section for the specific criteria that will guide our selection of candidates.The annual cash compensation for this position is set at $220,000, prorated for a three-month term.

Join Anthropic as a Research Operations Specialist focused on Economic Research. In this role, you will facilitate the smooth execution of research projects and support our team in analyzing and interpreting economic data. Your contributions will play a crucial part in driving our mission to create safe and beneficial AI systems.

Join Our Innovative TeamAt OpenAI, our Alignment team is committed to building AI systems that prioritize safety, trustworthiness, and alignment with human values, even as these systems evolve and grow in complexity. We are at the forefront of AI research, developing advanced methodologies to ensure that AI adheres to human intent across diverse scenarios, including high-stakes and adversarial environments. Our focus is on tackling the most critical challenges, addressing areas where AI can have profound impacts. By quantifying risks and making meaningful improvements, we aim to prepare our models for the complexities of real-world applications.Our approach is built on two foundational pillars: (1) integrating enhanced capabilities into alignment, ensuring our techniques evolve positively with increasing capabilities, and (2) centering human input through the development of mechanisms that allow humans to communicate their intent and effectively monitor AI systems, even in intricate situations.Your Role in Shaping the FutureAs a Research Engineer / Scientist on our Alignment team, you will play a pivotal role in ensuring our AI systems align with human intent in complex and unpredictable contexts. Your responsibilities will include designing and implementing scalable solutions that maintain alignment as AI capabilities expand, while incorporating human oversight into AI decision-making processes.This position is based in San Francisco, CA, and follows a hybrid work model of three days in the office each week. We also offer relocation assistance to new team members.Key Responsibilities:Develop and assess alignment capabilities that are context-sensitive, subjective, and challenging to quantify.Create evaluations to accurately measure risks and alignment with human values and intentions.Construct tools and evaluations to examine model robustness across various scenarios.Design experiments to explore how alignment scales with compute resources, data, context lengths, actions, and adversarial influences.Innovate new Human-AI interaction frameworks and scalable supervision methods that enhance human engagement and understanding of AI systems.

Join OpenAI as a Research Scientist and explore cutting-edge machine learning innovations. In this role, you will be at the forefront of developing groundbreaking techniques while advancing our team's research initiatives. Collaborate with talented peers across various teams to discover transformative ideas that scale effectively. We seek individuals who are passionate about pushing the boundaries of AI and want to contribute to our unified research vision.