Summer 2026 PhD Internship – Research Engineering Intern, Generative Simulation Validation

Mission Overview:The Behavior Understanding and Evaluation team at Motional is at the forefront of determining how to effectively measure and validate autonomous vehicle behavior on a large scale. As we prepare for the deployment of driverless vehicles, traditional manual reviews and static metric thresholds are becoming insufficient. Our goal is to develop automated and statistically robust systems utilizing advanced machine learning techniques to assess and understand our vehicles' performance in both real-world scenarios and simulated environments.One of the key challenges we face is accurately determining whether a simulation has 'Passed' or 'Failed', given the complex, multi-modal nature of human driving. This role is research-oriented and aims to assist in the creation of a Next-Generation Semantic Validator: a production-ready machine learning evaluation system that learns the distribution of valid human driving behavior, establishing a 'Safety Ruler' for the release of autonomous vehicles.This internship is based in our Boston office and requires in-office attendance weekly.

FieldAI is revolutionizing the way robots engage with the physical world. Our innovative research and development team, situated in Boston, is dedicated to creating risk-aware, dependable, and field-ready AI systems that confront the most challenging issues in robotics, thereby harnessing the full potential of embodied intelligence. We adopt a practical methodology that transcends conventional, purely data-driven strategies or transformer-based frameworks, seamlessly integrating pioneering research with tangible deployment. Our solutions are actively utilized across the globe, and we are committed to consistently enhancing model performance through swift iterations driven by real-world applications.This Summer 2026 internship opportunity is tailored for PhD students keen on advancing humanoid manipulation and embodied intelligence in genuine robotic systems. As a research intern, you will operate at the convergence of robotics research and applied engineering, contributing to the development of manipulation systems for humanoid robots that underpin FieldAI’s initiatives in autonomy and robot learning.You will engage closely with FieldAI's research scientists and engineers to design experiments, develop manipulation systems, and test innovative ideas on actual hardware. This internship prioritizes the conversion of research into practical, scalable systems while also contributing to long-term projects focused on embodiment-agnostic robotics foundation models.

The Division of Research and Faculty Development at Harvard University seeks a full-time Predoctoral Research Associate in Economics for Summer 2026. This position is based in Boston. Role overview This role centers on supporting economic research projects led by Harvard faculty. The position provides early-career researchers with practical experience in academic research settings. What you will do Assist with ongoing economics research initiatives Work closely with faculty on data collection, analysis, and project management Who this role is for This opportunity is designed for those interested in building research skills and gaining exposure to academic economics. It is well suited to individuals considering future graduate study or research careers.

About PathAI PathAI is dedicated to enhancing patient outcomes through advanced AI-driven pathology. Our innovative platform aims to significantly improve diagnostic accuracy and treatment effectiveness for diseases such as cancer by utilizing cutting-edge machine learning and artificial intelligence techniques. Our proven history in deploying AI algorithms for histopathology spans translational research, pathology labs, and clinical trials. A commitment to rigorous scientific analysis and meticulous evaluation is at the core of our operations. Our diverse team is passionate about tackling challenging problems and making a substantial difference in patient care. Your Role at PathAI As a Machine Learning Intern/Co-op, you will gain invaluable insights into the life of a Machine Learning Engineer at PathAI. This opportunity places you directly within our AI product and ML Core teams, where you will engage in ongoing projects that align with our technical roadmap and business objectives. Collaborate with a multidisciplinary group of scientists, engineers, and product managers to translate clinical needs into scalable machine learning solutions. This is your chance to contribute to impactful work that enhances patient outcomes. Timeline: This internship/co-op is available for Spring and Summer 2026. We seek candidates who can commit to 3-6 months, with a preference for 4-6 months. Location: While we prefer candidates who can work onsite in our Boston, MA or New York, NY offices, we are also open to considering remote candidates based in the United States.

About EyebotAt Eyebot, we are dedicated to revolutionizing vision care to ensure that it is accessible for everyone. Based in Boston’s vibrant North End and receiving support from esteemed investors and the National Science Foundation, our innovative vision test kiosk is transforming the delivery of vision care services.If you are driven by a passion for tackling significant challenges and contributing to the future of vision care, we invite you to join our team.About The RoleWe are on the lookout for inquisitive and enthusiastic engineering interns to join our software and hardware teams. You will collaborate closely with our engineering staff to aid in the development, testing, and enhancement of our systems, engage in prototyping and analysis, and contribute to projects that propel our vision care technology forward.Note: This position is an onsite summer internship located in Boston’s North End. It is a full-time role running Monday through Friday for a duration of 10 to 12 weeks. Interns will collaborate with the team five days a week to facilitate rapid prototyping and cross-functional teamwork.What You’ll Do:Collaborate with software, mechanical, and electrical engineering teams on impactful projects that enhance our vision care technology, contributing to design, prototyping, testing, and validation efforts.Perform experiments and analyses to validate designs, troubleshoot technical issues, and document insights to guide future iterations.Gain practical engineering skills through mentorship from experienced engineers, learning industry-standard tools, methodologies, and cross-functional collaboration techniques.Assist in specific technical tasks such as CAD modeling, circuit design, embedded systems development, software feature development, testing frameworks, and technical documentation.Take ownership of components or features, suggest enhancements based on observations, and witness the direct impact of your contributions on products that are redefining vision care accessibility.

Join our dynamic team at Shield AI as an Embedded Software Engineering Intern for the Summer of 2026. This is an exceptional opportunity for aspiring engineers who are eager to immerse themselves in the world of embedded systems. You will work closely with experienced professionals to develop innovative software solutions that enhance our cutting-edge technologies.

Join Alice & Bob, where we are pioneering the creation of the first universal, fault-tolerant quantum computer aimed at tackling some of the world's most challenging problems.Our vision revolves around an innovative type of superconducting qubit known as the Schrödinger cat qubit ‍⬛. Unlike traditional superconducting platforms, cat qubits possess the remarkable capability to autonomously perform quantum error correction!Our diverse team of over 140 talented individuals from more than 20 countries is dedicated to transforming computing through the development of practical fault-tolerant quantum machines. Are you prepared to face extraordinary challenges and play a role in revolutionizing technology? Collaborate with us to help shape the future of quantum computing!As a Quantum Algorithms Scientist, you will pave the way for real-world applications utilizing fault-tolerant quantum computing. You will collaborate with our scientific partners to create applications that can be solved with a few hundred logical qubits.

About Axiomatic AI Axiomatic AI builds AI systems that bring the rigor of the scientific method to reasoning. By combining deep learning, formal logic, and physics-based modeling, the team develops interpretable and verifiable AI tools designed to support human researchers in scientific and engineering tasks. The company's 30×30 mission targets a 30-fold increase in the speed, affordability, and accessibility of semiconductor and photonic hardware development by 2030. This vision drives efforts to reshape hardware design and simulation, moving research breakthroughs toward real-world products. Research Internship Overview This Research Internship centers on the intersection of AI, formal methods, and scientific reasoning. The role suits PhD candidates interested in advancing AI for science and engineering, especially those who want to build tools that verify scientific results. Interns will focus on research into automated verification of scientific reasoning. Projects may include developing AI agents for complex mathematical formalization, designing knowledge retrieval systems, and exploring both formal and informal verification workflows. What You Will Do Develop tools for formal reasoning, such as improved library search, theorem retrieval, and formalization assistants. Explore Lean metaprogramming or related formal methods tools for scientific applications. Create verification pipelines for complex equation derivations, connecting AI and physics. Work with researchers to define a focused project that advances internal capabilities and research understanding. Conduct scientific research suitable for publication at leading conferences (ICLR, ICML, NeurIPS) or contribute to major open source initiatives. Locations Boston, US / Toronto, Canada / Castelldefels (Barcelona), Spain

Role OverviewKey Responsibilities: Engage in hands-on projects across Medical Communications, Evidence Development, and Value and Access domains, focusing on the assimilation, interpretation, and innovative presentation of scientific data related to pharmaceuticals and medical devices.Compensation: Competitive hourly wage ranging from $24 to $30, contingent on experience.Benefits: Enjoy a generous vacation leave policy, flexible working hours, the option to work from home one day per week, comprehensive medical, dental, and vision insurance, plus opportunities for social activities funded by the company.Role Type: Full-time, 3-month internship.Start Date: We are currently seeking candidates for Summer 2026; please indicate your availability on your application.Location: This position is based in our Boston office.About the InternshipThis Analyst/Medical Writer Internship is tailored for current students and recent graduates from scientific backgrounds looking to gain valuable insights into the operations of a premier healthcare consultancy. Interns will contribute to two to three distinct projects, involving tasks such as:Creating medical education presentationsConducting systematic literature reviewsDrafting clinical trial manuscriptsCompiling clinical and cost-effectiveness evidence to support HTA submissions to NICEThese impactful projects play a vital role in enhancing global healthcare outcomes. Interns will receive personalized training on the technical aspects of their roles and gain insights into project management and effective client communication.

Join the H2 Event Group as an Executive Driver for a prestigious major sporting event in Boston, Massachusetts this summer. We are looking for dedicated and experienced drivers to provide exceptional transportation services for our VIP clients to and from designated locations associated with this significant occasion. *Priority will be given to candidates residing in Boston and its neighboring areas.

Role Overview Harvard University seeks a Predoctoral Research Associate for summer 2026 in the Finance sector. This position sits within the Division of Research and Faculty Development in Boston. What You Will Do Work alongside faculty and researchers on financial studies. Contribute to ongoing research projects and support the development of new ideas in finance. Collaborate with experienced academics, gaining exposure to research methods and analysis. Who This Role Suits This role fits individuals interested in academic research and finance. It offers hands-on experience for those considering graduate study or a career in research.

Position Overview Harvard University seeks a Predoctoral Research Associate for the Strategy Department in Boston for Summer 2026. This role offers hands-on involvement in research projects and exposure to established research methodologies within a leading academic setting.

Join us in transforming how the Department of Defense (DoD) approaches multi-billion-dollar force design decisions. As a Senior Principal Software Engineer, you will integrate physics-based simulations, dynamic computing, and validated AI code generation to develop state-of-the-art wargaming platforms. We are looking for a proactive leader who can architect and develop a scalable, cloud-distributed simulation environment while motivating a small, dedicated team through hands-on leadership.Your ResponsibilitiesDesign & Implement: Create a robust, interactive physics simulation that operates efficiently across cloud and on-premises clusters.Own the Core Codebase: Manage the modern C++ codebase, focusing on multi-threaded performance optimization and continuous integration practices.Collaborate: Work closely with product and AI teams to incorporate verified, AI-generated algorithms directly into a developer SDK for platform enhancement.Prototype & Iterate: Deliver functional capabilities to government end-users in weeks, not months, through rapid prototyping.Set Engineering Standards: Uphold high coding standards, document processes thoroughly, and mentor team members through code reviews and pair programming.

We invite enthusiastic students to join our immersive internship programs in Florence, Italy, while earning academic credits through the renowned Florence University of the Arts. This unique opportunity allows you to engage in a professional internship aligned with your major or minor at one of our esteemed Community Engagement Member Institutions (CEMI). You will receive dedicated support from an internship supervisor to facilitate exceptional experiential learning and growth.Internships are available in a variety of fields, including:Business and FinanceArchitecture and HistoryCommunication and PublishingCulinary Arts and Wine ExpertiseFashion and Accessories Studies and TechnologyFine Arts and DesignHospitality Operations and ManagementInterior Design and Industrial DesignPerforming ArtsPhysical Education and Sport TrainingVisual Communication

About General MedicineAt General Medicine, we are on a mission to revolutionize healthcare shopping. As a Full-Stack Engineer, you will play a pivotal role in developing and scaling our innovative healthcare platform, simplifying the process of accessing care with transparent pricing for virtual and in-person services, prescriptions, labs, imaging, and more.What We Are SeekingWe are in search of talented engineers who are passionate about creating seamless and aesthetically pleasing consumer healthcare products. Our ideal candidate will have a keen eye for detail in enhancing patient experiences while adeptly handling the intricate operational challenges associated with delivering care at scale. You will value technical excellence and be prepared to make quick decisions balancing engineering speed and quality.The perfect fit for our team is a motivated, proactive individual who aims to be a generalist. You will be involved in writing product requirement documents, executing SQL queries to analyze feature performance, and overseeing quality assurance—all tasks are vital for delivering an exceptional product. Comfort in navigating a landscape of ambiguity and collaborating closely with design, operations, and clinical teams is essential.While a background in healthcare is a plus, it is not a requirement. What matters is your eagerness to explore the complexities of the American healthcare system, including EHR integrations and revenue cycle management.

Accordion is seeking a Manager of Quality Engineering & AI Validation to guide a team focused on upholding quality standards in AI projects. This position is based in several major cities, including Atlanta, Boston, Charlotte, Chicago, Dallas, Los Angeles, New York, and San Francisco. Role overview This leadership role centers on shaping and maintaining AI validation processes. The manager will play a key part in developing and refining methodologies that support reliable, high-quality AI solutions for clients. What you will do Lead a quality engineering team dedicated to AI-driven initiatives Oversee and improve quality assurance protocols Implement thorough testing strategies to ensure product reliability Collaborate with cross-functional teams to boost product performance Requirements Strong background in quality engineering Experience with AI technologies Demonstrated leadership skills Interest in developing and managing validation processes

FieldAI is revolutionizing the interaction between robots and the physical world. Our expanding Research and Development team, located in Boston, is dedicated to creating risk-aware, reliable AI systems that address complex challenges in robotics and harness the full potential of embodied intelligence. We adopt a practical approach that transcends conventional data-driven methods or transformer-only architectures, merging pioneering research with real-world applications. Our solutions are already in use worldwide, and we enhance model performance through rapid iterations informed by actual field experiences.We are looking for enthusiastic engineers to contribute significantly to the advancement of multi-robot simulation and fleet orchestration. In this dynamic environment, you will collaborate with a dedicated team to develop simulation environments where robots can operate, coordinate, and adapt within realistic scenarios. This initiative will enable us to design and validate fleet orchestration strategies at scale prior to deployment. The ideal candidate will possess a robust understanding of robotics simulation and multiagent principles, coupled with the practical skills necessary to produce high-quality, maintainable code within a small, focused team.

About Axiomatic AI Axiomatic AI develops AI systems that combine deep learning, formal logic, and physics-based modeling. The goal: create AI that is verifiable, interpretable, and genuinely useful for scientific and engineering work. The company’s 30×30 mission targets a 30-fold improvement in the speed, accessibility, and cost of semiconductor and photonic hardware development by 2030. Teams at Axiomatic AI focus on transforming hardware design and simulation, aiming to turn research breakthroughs into commercial products. Offices are located in Boston, Toronto, and Castelldefels (Barcelona). Research Internship: Role Overview This internship focuses on exploratory research within agentic learning, memory, and neurosymbolic reasoning. The position is part of KAMAS (Knowledge, Agents, Memory and Systems), a team working on knowledge-driven, verifiable agentic AI systems. The main objectives: identify promising research directions and produce impactful results, with the possibility of publication. Research topics may include: Studying teacher and student interaction in long-term learning, where the student evolves through ongoing engagement with a teacher. Investigating how external and parametric memory interact, especially ways to enable effective two-way information flow. Applying neurosymbolic techniques for validation and verification (V&V) in agentic reasoning systems. These areas are starting points; additional research directions may develop based on intern background, interests, and project needs. What You Will Do Conduct exploratory research in line with KAMAS objectives in agentic AI and learning systems. Design, implement, and run experiments to evaluate research ideas. Document findings for internal use and presentations, with the potential for external publication.

About Axiomatic AI Axiomatic AI builds AI systems grounded in the scientific method. By combining deep learning, formal logic, and physics-based modeling, the team creates verifiable and interpretable tools that support researchers in scientific and engineering fields. The company’s 30×30 mission targets a 30-fold improvement in the speed, accessibility, and affordability of semiconductor and photonic hardware development by 2030. With a focus on transforming hardware design and simulation, Axiomatic AI brings together professionals who move research from the lab into real-world solutions. Research Internship: Uncertainty Quantification & Robust Design Locations: Boston, US / Toronto, Canada / Castelldefels (Barcelona), Spain Role Overview This internship centers on exploratory research in uncertainty quantification (UQ), experimental design, robust design strategies, and surrogate modeling. The specific project will reflect the intern’s background and strengths, always with the goal of advancing the methods that underpin scientific and engineering work. Candidates with a strong technical grounding in probabilistic machine learning, Bayesian computation, and applied mathematical modeling will find this role especially relevant. Depending on interests and expertise, there may also be a chance to work in specialized topics such as neuromorphic computing in photonics. Key Responsibilities Advance and extend uncertainty quantification methods through research Contribute to developing experimental and robust design techniques for scientific and engineering applications Develop or evaluate surrogate modeling strategies for complex systems Work with researchers to shape focused projects that deliver clear research and learning outcomes

Join us in transforming how the Department of Defense approaches multi-billion-dollar force design decisions. In this pivotal role, you will integrate physics-driven simulations, interactive computing, and verified AI code-generation to develop cutting-edge wargaming platforms. We are looking for a seasoned software engineer who can take ownership of critical components within a scalable, cloud-distributed simulation environment, while inspiring and leading a dedicated team.Your Responsibilities Create and implement a robust, interactive physics simulation that operates flawlessly across cloud and on-premises clusters. Manage core functionalities in modern C++, focusing on multi-threaded performance tuning and continuous integration. Collaborate with product and AI teams to integrate verified AI-generated algorithms into a developer SDK that enhances the platform. Rapid prototyping and iteration: deliver functional capabilities to government end-users in weeks, not months. Set high engineering standards: produce clean code, maintain rigorous documentation, and mentor team members through code reviews and pair programming. Why Choose Code Metal? Impactful Mission: Your contributions will shape digital battlefield models that directly affect real-world acquisition strategies. Agility: Work within small teams, experience rapid iteration cycles, and have the authority to deliver solutions. Ownership: Everyone is a contributor—no passengers, everyone pushes code to production.