Research Internship jobs at Microsoft

Meta Reality Labs brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR that are so compelling that they become an integral part of our lives. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Minimum Qualifications * Currently has or is in the process of obtaining a Ph.D. degree in Optical Science, Optical Engineering, Opto-Mechanics, Electrical Engineering, Physics, Computational Imaging or relevant technical field * Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment * 2+ years experience in at least one of the following areas of optical research: geometry optics, aberration theory, optical system prototyping * 2+ years experience with lens design in optical design programs such as Zemax OpticStudio, Code V or similar * 2+ years experience with scientific programming languages (e.g., MATLAB, Python, and Mathematica) * Intent to return to degree program after the completion of the internship/co-op Preferred Qualifications * Experience working and communicating cross functionally in a team environment * Experience in freeform optics * Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences * 2+ years of experience in system-level prototyping work, including hands-on prototyping of bench-top optical components * Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as JOSA, SPIE, OSA, IEEE, CLEO, or similar Responsibilities * Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results. * Publish research results and contribute to research that can be applied to Meta product development. * Develop next generation AR/VR displays with an emphasis on advanced simulations and prototyping to prove new concepts and understand the perceptual impact of those concepts. * Collaborate with larger Meta Reality Labs Research team to explore novel solution space for AR/VR devices. * Explore the application of at least one of the following: geometrical optics, diffraction optics, polarization optics, illumination, optical system design. * This position will have an emphasis of advanced simulations and prototyping to prove new concepts and the perceptual impact of those concepts. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Meta's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Meta are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started. Our team at Meta Reality Labs is dedicated to exploring new technologies and integrating them into custom image sensors. As an intern, you will have the opportunity to work on projects that push the boundaries of what is possible in the field of image sensors and contribute to the development of AR/VR devices. Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year. Minimum Qualifications * Currently has or is in the process of obtaining a Ph.D. degree in the fields of Electrical Engineering, Computer Science, or related field * Research experience in one or more of the following aspects of Image Sensors: Device physics and fabrication, Analog/mixed signal circuit design, Imaging systems (camera, ISP, algorithm) * Experience with analog/mixed-signal circuit design CAD tools such as Cadence Virtuoso * Successful tape-out and hands-on bench testing experience * Simulation and modeling experience with scripting languages such as Python, Matlab * Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment Preferred Qualifications * 3+ years of experience in circuit design * Tape out experience with advanced technology nodes * Image signal processing experience (noise reduction, HDR processing) * Proven track record of achieving significant results as demonstrated by grants, or fellowships, as well as first-authored publications in major conferences and journals such as IISW, IEDM, VLSI, ISSCC, JSSC, TED Responsibilities * Investigate and propose novel pixel architectures and sensor architectures * Perform pixel schematic/layout design and simulation in advanced process nodes * Architect and design readout and processing circuits to achieve ultra-low power consumption * Characterize image sensors and experiment with new image sensor operation schemes * Collaboration with and support of other researchers across various disciplines * Communication of research agenda, progress and results About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of contextual AI and robotics. The Surreal Vision group at RL Research is seeking exceptional Research Scientists to research and help build the egocentric machine perception functionalities that will underpin future contextual AI-enabled devices. The research intern will work on cutting edge research problems to innovate novel computer vision and machine learning techniques. Work with researchers to advance frontier generative AI in the following areas: -Develop unified predictive models that integrate language, vision, human motion, and actions. -Investigate techniques to enable long-horizon, consistent and physically grounded generation. -Benchmark against state-of-the-art approaches in world modeling, video generation, and vision-language-action model. -Leverage multimodal generation to accelerate robot learning and control. Build contextual and embodied AI models using large-scale egocentric multimodal datasets. Our internships are twelve (12) to twenty four (24) weeks long and we have various start dates throughout the year. Some projects may require a minimum of 24 consecutive weeks. Minimum Qualifications * Currently has, or is in the process of obtaining a PhD degree in the domain of computer-vision, computer graphics, 3D machine perception or deep learning * Knowledge in deep learning, computer vision, graphics, generative modeling, LLMs and VLMs * Hands-on experience with implementing deep learning algorithms, large-scale training, benchmark and evaluation * Experience working within Python environments such as pytorch * Experience working in a Unix environment * Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment Preferred Qualifications * Preference for 24 week full time internship * Intent to return to a degree-program after the completion of the internship * Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at top tier conferences such as CVPR, ECCV, ICCV, SIGGRAPH, ICLR and NeurIPS * Strong track-record of published research in the fields of LLMs, VLMs, video generation, world modeling, VLA, human motion modeling, policy learning, generative modeling etc * Strong programming experience using python and pytorch * Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) * Experience working and communicating cross functionally in a team environment Responsibilities * Plan and execute cutting-edge research and development to advance the state-of-the-art in machine learning and large-scale training. * Collaborate with other researchers and engineers across machine perception teams at Meta to develop experiments, prototypes, and concepts that advance the state-of-the-art contextual AI and robotic systems. * Work with the team to help design, setup, and run practical experiments and prototype systems related to large-scale high-quality sensing and machine reasoning. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.Meta is seeking Research Interns to join our "Modern Recommendation Systems" (MRS) AI Innovation Center. This org brings together a world-class R&D team of researchers, developers, and engineers. The MRS org is developing a unified infrastructure and model service to improve recommendations across Facebook, Instagram and WhatsApp, the "Family of Apps" (FoA). Our interns will have the opportunity to perform research on and even build AI models that will eventually run at the scale of Meta's social network.Our vision is to understand multi-modal content, especially videos, as well user interests/preference. We contribute to the mission of connecting users to the content they enjoy, are inspired by, and that they want to see more of. We conduct cutting-edge research using the complete suite of audio, visual, text and metadata signals associated with posts and videos to improve recommendation relevance across all surfaces and provide a better, more meaningful experience to users. We build tools, create frameworks and train models that we deploy together with product and infrastructure teams to gain adoption across the FoA. We also publish scientific papers to help advance the state of the art in content understanding.Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. **Required Skills:** Research Scientist Intern, Modern Recommendation Systems (PhD) Responsibilities: 1. Initiate and lead efforts towards long-term ambitious research goals, while identifying intermediate milestones in the area of recommendation systems and models, user and content understanding and multi-modal (video, audio, and text) LLM analysis for classification and relevance use cases 2. Conduct original research that can eventually be applied to Meta product development, engage with the wider research community, including publishing and releasing open source software where appropriate 3. Design, train and support video understanding libraries and models to implement new features and functionality for use internally at Meta 4. Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results. **Minimum Qualifications:** Minimum Qualifications: 5. Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Artificial Intelligence, or relevant technical field 6. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment 7. Experience with Python, with experience in machine learning libraries such as Pytorch 8. Familiarity with AI/ML modeling techniques (e.g., LLM, RAG, LSTM, GRU, Transformers) and/or its acceleration for large scale use cases 9. Experience building systems based on machine learning and/or deep learning methods **Preferred Qualifications:** Preferred Qualifications: 10. Intent to return to the degree program after the completion of the internship/co-op 11. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICLR, KDD, ICML, SIGIR, WSDM, RecSys, CIKM, CVPR, ECCV, ACL, EMNLP, ICASSP, or similar 12. Experience working and communicating cross functionally in a team environment 13. Prior research or project experience in sequence modeling, recommendation systems, or user modeling 14. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) **Public Compensation:** $7,650/month to $12,134/month + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Reality Labs (RL) is responsible for delivering Meta's vision of the next generation of wearable XR systems to enable the next great wave of human-oriented computing. The compute performance and power efficiency requirements of these future XR systems will require the best-in-class custom silicon solutions running the most efficient AI models to enable powerful new AI applications in an all-day wearable form factor. To achieve this, the Meta Silicon team is advancing the state-of-the-art across computer vision, machine learning, mixed reality, graphics, displays, sensors, and silicon systems. Our solutions will enable XR devices to deliver unprecedented machine intelligence and the most advanced silicon solutions in the industry.In this research internship, you will be responsible for research and development into the next generation AI silicon systems and design methodology for future XR systems. More specifically, you will work on formulating and developing solutions to support the deployment and optimization of AI models across XR system targets. Our internships are twelve (12) to twenty-four (24) weeks long and have various start dates throughout the year. **Required Skills:** Research Scientist Intern, Machine Learning Acceleration (PhD) Responsibilities: 1. Collaborate with computer architects, software, ML and silicon researchers and engineers, to map and optimize ML workloads on various backend targets including CPU's, DSP's, and Deep Learning Accelerators 2. Perform ML algorithm, software, hardware co-design to achieve best energy and performance efficiency 3. Use AI to build new solutions that aid silicon design with the goal of increasing efficiency and quality of our systems 4. Develop high performance C/C++ kernels and optimize domain specific compilers to port industry standard ML libraries to custom hardware 5. Review SOTA research trends in hardware specific ML model optimizations and mapping 6. Evaluate and integrate promising techniques into shipping products 7. Run analysis/profiling, identify performance and power bottlenecks on the actual hardware, virtual platforms, simulators or emulators and provide feedback for optimizations across the stack **Minimum Qualifications:** Minimum Qualifications: 8. Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or relevant technical field 9. Experience with Python and building complex silicon, design automation, or software systems 10. Understanding of agentic workflows and AI tools 11. Understanding of computer architecture, hardware design, and power and performance optimization fundamentals 12. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment 13. Intent to return to degree program after the completion of the internship/co-op **Preferred Qualifications:** Preferred Qualifications: 14. Experience with design, model deployment, and performance optimization of PyTorch models for AI accelerator architectures (e.g. systolic arrays, vector extensions, custom ASICs, etc) 15. Experience applying and integrating AI to accelerate and improve hardware EDA/CAD methodology tool flows 16. Experience in LLM architectures, using LLMs to automate tasks and flows, building agentic workflows, and/or fine-tuning AI models for hardware 17. Experience or familiarity with Cadence Xtensa, Qualcomm Hexagon, or comparable digital signal processor CAD tool flows 18. Experience working in a large codebase across a large team (ex., reading and refactoring legacy code, good software development practices, etc.) 19. Experience or familiarity with Tensorflow, Pytorch, MLIR, XLA, JAX, or tensor-rt, and classic ML and CV algorithms like BERT, RNN, CNN, or similar 20. Familiarity with the state of art ML algorithm optimizations like Neural Architecture Search, quantization, pruning, or similar 21. Experience or familiarity with C/C++, Verilog, System Verilog, or VHDL 22. Familiarity with high performance software kernel development for customized ISA 23. Familiarity with code profiling and debug tools for ML 24. Experience working and communicating cross functionally in a team environment 25. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as ISSCC, VLSI, DATE, DAC, ICCAD, ISCA, ASPLOS, MICRO, PLDI, NeurIPs, ICLR, HPCA or similar **Public Compensation:** $7,313/month to $12,134/month + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Meta Reality Labs Research is seeking a highly motivated and skilled research intern to join our team in developing cutting-edge technologies for AR glasses. Our mission is to apply cutting-edge machine learning and AI methods to problems in AR/VR input and interaction, with a focus on collaboration with domain experts.As a research intern, you will work on projects that span modeling, human-in-the-loop experimentation, and design of novel sensors and tracking algorithms. You will have access to cutting-edge technology, resources, and testing facilities, and will collaborate with a diverse and interdisciplinary team of researchers and engineers.Your primary focus will be on developing novel, robust, sensor processing algorithms for wearables, using techniques such as self-supervised learning, robust decoding of biometric signals, multi-modal sensor-fusion and LLM finetuning techniques. Your work will be at the intersection of signal processing, machine learning, and human-computer interaction, and you will have the opportunity to work with world-class researchers, collaborators and mentors in these fields.Candidates will work with researchers to help enable the following research disciplines: -Multi-modal AI for contextual understanding -Multi-modal AI for human computer interaction This position has a preference of sixteen (16) consecutive weeks up to twenty-four (24) weeks long and we have various start dates throughout the year. **Required Skills:** Research Scientist Intern, Multimodal AI for Human-Computer Interaction (PhD) Responsibilities: 1. Plan and execute cutting-edge research and design of novel adaptive algorithms for various sensory models. 2. Implement signal processing, classification, fusion, and confounder mitigation algorithms to develop systems that are robust, efficient, easily tunable, and yield seamless interactions. 3. Troubleshoot, debug, and upgrade existing software, contribute to code documentation and maintenance of the analysis pipeline. 4. Collaborate with the larger research team, present and share results with key stakeholders. 5. Advance the state of the art (SOTA) in sample-efficient modeling for understanding human cognition and action writ large. 6. Use SOTA models to deliver advances in downstream experiments or demos - it has to work in real life. 7. Successful internships may also lead to publishable outcomes in top-tier journals or at leading international conferences. **Minimum Qualifications:** Minimum Qualifications: 8. Currently has, or is in the process of obtaining, a PhD in Computer Science, Electrical or Computer Engineering, Robotics, or relevant technical field 9. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment 10. 3+ years of experience with scientific programming languages such as Python or C++ 11. Experience with online and offline signal processing of biological time series data and sensor-fusion techniques 12. Research experience involving defining problems, exploring solutions, and analyzing and presenting results **Preferred Qualifications:** Preferred Qualifications: 13. Two or more first-authored publications in top ML or HCI conferences/journals 14. Familiarity with AR/VR technologies and literature 15. Experience with biometric or biosignal modeling for real-time interactive scenarios (e.g., gesture recognition, action recognition) 16. Experience with machine learning and related frameworks, such as sklearn or Pytorch 17. At least one publication focused primarily on modeling 18. Experience working directly with domain experts in non-ML fields, for example mechanical engineers or designers, neuroscientists, physicists, etc 19. Experience writing research software used by others, for example as part of an academic collaboration, an open-source project, or equivalent 20. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ICML, NeurIPS, ICLR, KDD, CHI, UIST or similar 21. Experience working and communicating cross functionally in a team environment 22. Intent to return to a degree program after the completion of the internship/co-op 23. Availability for minimum 16 consecutive week internship **Public Compensation:** $7,650/month to $12,134/month + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

At Reality Labs Research, our goal is to explore, innovate and design novel interfaces and hardware for the next generation of virtual, augmented, and mixed reality experiences. We are driving research towards a vision of natural, seamless experiences in XR environments that are effective, enjoyable, and functionally indistinguishable from those in the real world. As a Research Scientist Intern, you will work at the intersection of robotic control, machine learning, and human-robot interaction, and you will have the opportunity to work with world-leading collaborators and mentors in these fields. Your primary focus will be on developing CV and tactile based algorithms that can be used for robotic control learning in dextrous manipulation tasks.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. Some projects may require a minimum of 16 consecutive weeks. **Required Skills:** Research Scientist Intern, Multimodal Learning for Robotics (PhD) Responsibilities: 1. Conduct collaborative research on developing CV and tactile based algorithms for both human and robotics data. 2. Develop robotic data pipelines for robotic dextrous manipulation, train models, and benchmark different algorithms. 3. Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results. **Minimum Qualifications:** Minimum Qualifications: 4. Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Robotics, or relevant technical field 5. Experience in computer vision, with active contributions in at least one subdomain (3D reconstruction, hand pose estimation, object pose estimation) and strong familiarity across all 6. Understand state of the art in robotic manipulation control policies, with experience in physics based simulators like Mujoco 7. Experience with Python, PyTorch or JAX, or other related languages 8. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 9. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as Robotics (RSS, ICRA, IROS, CoRL, T-RO, IJRR), Machine Learning (NeurIPS, ICML, ICLR, AAAI, JMLR), and Computer Vision (CVPR, ICCV, ECCV, TPAMI), or similar 10. Experience with multimodal learning including but not limited to tactile data 11. Experience working with robot manipulation 12. Experience with building pipelines with foundation CV models, for example, CLIP, DinoV2 or SAM2 13. Experience working and communicating cross functionally in a team environment 14. Intent to return to the degree program after the completion of the internship/co-op 15. Availability for minimum 16 consecutive week internship **Public Compensation:** $7,650/month to $12,134/month + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Reality Labs (RL) teams are looking for exceptional interns to help us create next generation interaction technologies for virtual and augmented reality. Join a full-stack team working on computer vision, machine learning, geometric and appearance simulation, and AI image generation. We are accepting applications from those interested in (but not limited to) the following areas:- Synthetic image generation using deep generative models, computer graphics, or physics-based simulation.- High-Fidelity image synthesis including generation of high-resolution, realistic images of eyes and face with fine details. This includes techniques to enhance appearance and geometric realism of synthetic images.- Conditional image generation based on specific conditions or constraints, such as metadata, text-based categories, image masks, or a combination of multiple input modalities.- Controllable generation of image, enabling control over generated images of eyes and face by manipulating specific attributes like style, appearance, pose, lighting, and other semantic factors.- Cross-domain image translation from one domain to another while preserving important characteristics, such as style transfer, domain adaptation, or image-to-image translation.- Few-Shot or Zero-Shot Learning: Techniques that allow models to generate images with minimal or zero examples by leveraging prior knowledge or meta-learning approaches.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. **Required Skills:** Research Scientist Intern, Synthetic Image Generation (PhD) Responsibilities: 1. Design and execute algorithms in the domain of computer vision, machine learning, computer graphics, and generative AI. 2. Conduct in-depth literature reviews and build knowledge of the latest advancements in AI-based image generation techniques. 3. Collaborate with our research team to design and implement novel algorithms for synthetic image generation or translation. 4. Experiment with cutting-edge machine learning models and frameworks to enhance image synthesis capabilities. 5. Analyze and evaluate model performance, iterating on approaches to improve image quality, realism, and diversity. 6. Document and share research findings, contribute to technical reports, and potentially publish in academic or industry conferences/journals. **Minimum Qualifications:** Minimum Qualifications: 7. Currently has, or is in the process of obtaining, a PhD degree in EE/CS, Applied Math or a related STEM field 8. Experience in Python or C++ 9. Experience with ML frameworks such as PyTorch or Tensorflow 10. Experience in one or more of the following: generative AI, computer vision, computer graphics (e.g. appearance, geometry, physically-based modeling), or machine learning (e.g. efficient deep learning, domain adaptation, transfer learning) 11. Strong analytical and problem-solving skills with a passion for innovation and cutting-edge research 12. Excellent written and verbal communication skills, with the ability to present complex ideas clearly and concisely 13. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 14. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, or first-authored publications at leading journals or conferences such as CVPR, ECCV/ICCV, BMVC, NeurIPS, ICML, ICLR, CHI, SIGGRAPH/SIGGRAPH Asia, ICRA, IROS, RSS, TPAMI, IJCV, etc 15. Contributions to open-source projects, publications, or relevant projects demonstrating expertise in synthetic image generation 16. Experience with cloud computing platforms and distributed computing for large-scale experiments 17. Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) 18. Experiences working on high volume image data processing or synthesis **Public Compensation:** $7,650/month to $12,134/month + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR, VR and MR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interfaces, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR, VR and MR that are so compelling that they become an integral part of our lives.In particular, the Meta Reality Labs Research audio team is focused on two goals; creating virtual sounds that are perceptually indistinguishable from reality and redefining human hearing. See more about our work here: ******************************************************************************* These two initiatives will allow us to connect people by allowing them to feel together despite being physically apart and allow them to converse in even the most difficult listening environments. The Augmented Capture research team of the Meta Reality Labs Audio is seeking interns to help us create unique audio experiences for virtually reliving and sharing real life experiences using spatial audio capture.Specific projects will be designed in collaboration with successful applicants to align the intern's skills and experience with current research needs. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. **Required Skills:** Research Scientist Intern, Spatial Audio Capture and Reproduction (PhD) Responsibilities: 1. Design and implementation of novel algorithms to solve audio research problems 2. Experimental design, implementation, and execution to evaluate new audio technologies 3. Collaboration with and support of other researchers across audio and acoustic engineering disciplines 4. Communication of research agenda, progress, and results **Minimum Qualifications:** Minimum Qualifications: 5. 1+ years experience working with spatial audio capture algorithms 6. Expertise in one or more of the below research areas: Audio signal processing, Binaural audio technology, Microphone array processing, Machine learning for spatial audio applications, Beamforming, Spatial audio evaluation, Spatial audio coding 7. Coding experience in one or more languages, including but not limited to: C/C++, C#, Python, Max/MSP, or MATLAB 8. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment 9. Is in the process of obtaining a PhD degree in the field of Acoustics, Computer Science, Mechanical Engineering, Electrical Engineering or related STEM fields **Preferred Qualifications:** Preferred Qualifications: 10. Experience with real-time multichannel audio processing and coding 11. Experience with machine learning software platforms such as PyTorch, TensorFlow, etc 12. Experience with Unity, Unreal, CryEngine, or similar game engines 13. Proven track record of achieving results as demonstrated in accepted papers in top conferences or journals such as ICASSP, WASPAA, InterSpeech, JASA, JAES, etc 14. Experience working and communicating cross functionally in a team environment 15. Intent to return to a degree-program after the completion of the internship/co-op **Public Compensation:** $7,650/month to $12,134/month + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Meta Reality Labs is looking for an intern with experience in pose estimation and tracking to help us improve interactions with augmented reality (AR) and virtual reality (VR) devices. You will explore and implement algorithms to utilize camera streams to track the states of the user and/or device. You will work with world-leading collaborators and mentors in the AR/VR & HCI fields.Our internship is twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. **Required Skills:** Research Scientist Intern, Hand Pose Estimation & Tracking (PhD) Responsibilities: 1. Plan and execute cutting-edge research to advance AR/VR interaction technologies in the areas of hand pose estimation and tracking. 2. Collaborate with other researchers, engineers, and user experience researchers to prototype hardware and software solutions, and run experiments to advance the project. 3. Work with leading academic researchers in the field. The work should result in publishable research that appears in top-tier journals or at leading international conferences. **Minimum Qualifications:** Minimum Qualifications: 4. Currently has, or is in the process of obtaining, a PhD in Computer Vision, Machine Learning, Artificial Intelligence (AI), Robotics, Algorithms, Computational Mathematics or a related field 5. Proven research skills involving defining problems, exploring solutions, and analyzing and presenting results 6. Deep understanding of at least one of the following areas (pose estimation, object tracking, multi-target tracking) 7. Proficiency in Python, Pytorch, C++ 8. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 9. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such a CVPR, ICCV, ECCV, ICML, NeurIPS, IJCAI, AAAI, AAMAS, EECV, ICLR, ICRA, IROS, RSS, CoRL etc 10. Experience with real-time tracking single or multi-object tracking systems 11. Experience working and communicating cross functionally in a team environment 12. Intent to return to degree-program after the completion of the internship/co-op **Public Compensation:** $7,650/month to $12,134/month + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Meta Reality Labs brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect. We are developing all the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. Some of those will advance much faster than others, but they all need to happen to enable AR and VR that are so compelling that they become an integral part of our lives.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. **Required Skills:** Research Scientist Intern, Non-Linear Optics (PhD) Responsibilities: 1. Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results. 2. Publish research results and contribute to research that can be applied to Meta product development. 3. Develop next generation AR/VR displays with an emphasis on advanced modeling and prototyping to prove new concepts and understand the perceptual impact of those concepts. 4. Collaborate with a larger Meta Reality Labs Research team to explore novel solution space for AR/VR devices. 5. Explore the application of at least one of the following: diffractive optics, polarization optics, geometrical optics. **Minimum Qualifications:** Minimum Qualifications: 6. Currently has or is in the process of obtaining a Ph.D. degree in Optical Science, Optical Engineering, Electrical Engineering, Physics, Computational Science or relevant technical field 7. 2+ years experience in following areas of optical research: non-linear optics, computational electromagnetics/photonics 8. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment 9. Familiarity with Python, Matlab or equivalent programming languages 10. Experience with Fourier optics and wave optics simulation **Preferred Qualifications:** Preferred Qualifications: 11. 2+ years experience in diffractive optics, emphasizing modeling 12. 2+ years experience with optical design programs such as Lumerical, RSOFT, MEEP, ZEMAX, Light Tools etc 13. 2+ years experience with experimental optics and conducting laboratory work (i.e., demonstrated ability to construct proof-of-concept systems and to evaluate performance) 14. Experience working and communicating cross functionally in a team environment 15. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications in top-tier journals or at leading conferences such as CLEO, SPIE, and APS 16. Intent to return to their degree program after the completion of the internship/co-op **Public Compensation:** $7,313/month to $12,134/month + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Reality Labs Research is seeking an intern with expertise in textile-based actuation systems to help advance the field of soft robotics. In this role, you will explore textile-based design and novel control methods, focusing on the development of innovative textile actuators that can significantly enhance the performance and versatility of soft robotic systems. You will be expected to embed actuation within textile hierarchies, leveraging smart fibers, yarns, or textile actuator mechanical design, and to demonstrate new control strategies in complex, real-world soft robotics applications.As a research intern, your project will center on textile-based actuator design and will encompass a broad range of activities, including materials research, textile architecture and design, mechanical characterization (such as mechanical, electrical, and thermal analysis), actuation controls, and application demonstrations. Your work will be at the intersection of smart fiber/textile and mechanical actuation research, requiring both hands-on experimentation and theoretical exploration. You will have access to cutting-edge technology, prototyping tools, and testing facilities, and will collaborate closely with a diverse and interdisciplinary team of researchers and engineers.The ideal candidate will have experience in embedding actuation within textile structures, a strong background in mechanical design and control strategies for soft robotics, and familiarity with materials research and textile architecture. A collaborative mindset and enthusiasm for interdisciplinary research are essential, as you will be working alongside experts from various fields to push the boundaries of what is possible in textile-based robotics.Internships at Reality Labs Research typically last between twelve (12) and twenty-four (24) weeks, with flexible start dates available throughout the year. This is a unique opportunity to contribute to pioneering research at the intersection of textiles and robotics, and to make a tangible impact on the future of soft robotic technologies. **Required Skills:** Research Scientist Intern, Textile Actuators for Soft Robotics (PhD) Responsibilities: 1. Plan and execute cutting edge research to advance textile-based actuation systems for soft robotics in the areas of mechanical design and actuation controls. 2. Collaborate with other researchers and engineers to prototype hardware and actuation controls solutions and run experiments to demonstrate advancements. 3. Communicate research agenda and findings to collaborators across disciplines. 4. Write and publish high quality scientific articles. **Minimum Qualifications:** Minimum Qualifications: 5. Currently has or is in the process of obtaining a Ph.D. degree in Mechanical Engineering, Materials Science, Textile Science, Electrical Engineering, Robotics, or relevant technical field 6. Understands state of the art in textile-based actuation and advancing the technological frontier in an impactful and efficient way 7. Experience with textile-based actuator prototyping, including pneumatics, hydraulics, smart fibers (SMA, LCE), DEAs, or relevant actuation mechanism 8. Experience with developing and piloting mechanical characterization techniques for actuators 9. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 10. Familiarity with soft robotic technologies and literature 11. Expertise with 3D knitting and yarn structures 12. Expertise with in actuation control methods for soft robotics applications 13. Experience working and communicating cross functionally in a team environment 14. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences 15. Intent to return to degree-program after the completion of the internship/co-op 16. Availability for minimum 16 consecutive week internship **Public Compensation:** $7,313/month to $12,134/month + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment. The AI Frontier Lab at Microsoft Research is seeking candidates to advance the state of the art in agentic model capabilities -- creating models and agents that can reliably perform tasks across digital systems on behalf of humans, combining automation, reasoning, and interaction capabilities to execute workflows end-to-end, leveraging both text-based environments (CLI tools, APIs, scripts, MCPs) and visual environments (GUI applications). Our lab conducts cutting-edge research in AI and publishes findings in top-tier venue such as NeurIPS, ICLR, ICML, and others. We release models and libraries in the open-source (e.g. Phi-4, Phi-4-reaoning, AgentInstruct, AutoGen, MagenticOne) while also working within Microsoft's ecosystem to ship our AI technologies in multiple products. We seek Research Interns with demonstrated ability for technical work and a proven record of influential publications on Artificial Intelligence. Research areas of particular interest for this team include, but are not limited to: * Reinforcement learning approaches for improving logical and mathematical reasoning, tool use and computer use agents * Developing novel training algorithms for enhancing reasoning and action taking efficiency and reliability * Exploring synthetic environment creation, multi-agent training and self-play for RL training * Exploring scaling laws between test-time and training-time compute * Advanced optimization techniques for efficient training of large-scale models Our group takes a holistic approach to improving foundational models that includes a variety of data modalities (language, vision, multi-modal, and structured data) and modern model architectures. Responsibilities Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. Qualifications Required Qualifications * Accepted or currently enrolled in a PhD program in Computer Science or related STEM field. * At least 1 year of experience with deep learning and large language model training. Other Requirements * Research Interns are expected to be physically located in their manager's Microsoft worksite location for the duration of their internship. * In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. Preferred Qualifications * Proven expertise in language model pre-training, post-training, or reinforcement learning. * Proven publication record in top-tier conferences. * Demonstrated ability to develop original research and perform hands-on research in a collaborative and dynamic environment. The base pay range for this internship is USD $6,710 - $13,270 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,760 - $14,360 per month. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: ************************************************* Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

_corporate_fare_ Google _place_ Mountain View, CA, USA; Atlanta, GA, USA; +28 more; +27 more _bar_chart_ Intern & Apprentice _info_outline_ X Applications will be reviewed on a rolling basis and it's in the candidate's best interest to apply early. The anticipated application window is open until **February 27, 2026** , but may close earlier if all available projects are full. Applications submitted after the application window or once role is closed/projects are full will not be considered. Timing on when you can hear back will vary and can take upwards of 90+ days. If you haven't heard from us in three months about an application, we likely proceeded with other candidates for that particular role. However, our recruiters might reach out if we find a different potential match for your skills, interests, and experience. Participation in the internship program requires that you are located in the United States for the duration of the internship program. This internship is intended for students in their penultimate academic year, who are pursuing a PhD degree program in Computer Science or a related field. If you are in an earlier academic year we encourage you to apply to the Student Researcher openings. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program. To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the "Apply" button on this page and provide the required materials in the appropriate sections (PDFs preferred): 1. In the "Resume Section:" attach an updated CV or resume. + Please ensure your anticipated graduation date (in MM/YY) is listed on the resume. 2. In the "Education Section:" attach a current or recent unofficial or official transcript in English. + Under "Degree Status," select "Now attending" to upload a transcript. This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mountain View, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Bellevue, WA, USA; Chicago, IL, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Madison, WI, USA; New York, NY, USA; Palo Alto, CA, USA; Portland, OR, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA; Redmond, WA, USA; Redwood City, CA, USA; San Diego, CA, USA; Goleta, CA, USA; San Bruno, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; San Jose, CA, USA; Santa Cruz, CA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA** . **Minimum qualifications:** + Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or related technical field. + Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas). **Preferred qualifications:** + Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term time. + Penultimate academic year or returning to a degree program after completion of the internship. + Experience as a researcher, including internships, full-time, or at a lab. + Experience contributing research communities or efforts, including publishing papers in major conferences or journals. + Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.). **About the job** Join us for a full-time, 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google, including Search, Maps, and Google Now, and is central to the success of Google Cloud and our planet-scale computing, storage, and networking infrastructure. Research Interns work closely with Engineers to discover, invent, and build at the largest scale. From creating experiments and prototyping implementations to designing architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and more. Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day. Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products. The US base salary range for this full-time position is $113,000-$150,000. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************************************ . **Responsibilities** + Develop and execute a research agenda. + Contribute to a productive and innovative team, including working with peers, managers, and partner teams. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ Mountain View, CA, USA; Atlanta, GA, USA; +28 more; +27 more _bar_chart_ Intern & Apprentice _info_outline_ X Applications will be reviewed on a rolling basis and it's in the candidate's best interest to apply early. The anticipated application window is open until **February 27, 2026** , but may close earlier if all available projects are full. Applications submitted after the application window or once role is closed/projects are full will not be considered. Timing on when you can hear back will vary and can take upwards of 90+ days. If you haven't heard from us in three months about an application, we likely proceeded with other candidates for that particular role. However, our recruiters might reach out if we find a different potential match for your skills, interests, and experience. Participation in the internship program requires that you are located in the United States for the duration of the internship program. This internship is intended for students in their penultimate academic year, who are pursuing a PhD degree program in Computer Science or a related field. If you are in an earlier academic year we encourage you to apply to the Student Researcher openings. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program. To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the "Apply" button on this page and provide the required materials in the appropriate sections (PDFs preferred): 1. In the "Resume Section:" attach an updated CV or resume. + Please ensure your anticipated graduation date (in MM/YY) is listed on the resume. 2. In the "Education Section:" attach a current or recent unofficial or official transcript in English. + Under "Degree Status," select "Now attending" to upload a transcript. This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mountain View, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Bellevue, WA, USA; Chicago, IL, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Madison, WI, USA; New York, NY, USA; Palo Alto, CA, USA; Portland, OR, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA; Redmond, WA, USA; Redwood City, CA, USA; San Diego, CA, USA; Goleta, CA, USA; San Bruno, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; San Jose, CA, USA; Santa Cruz, CA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA** . **Minimum qualifications:** + Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or related technical field. + Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas). **Preferred qualifications:** + Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term time. + Penultimate academic year or returning to a degree program after completion of the internship. + Experience as a researcher, including internships, full-time, or at a lab. + Experience contributing research communities or efforts, including publishing papers in major conferences or journals. + Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.). **About the job** Join us for a full-time, 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google, including Search, Maps, and Google Now, and is central to the success of Google Cloud and our planet-scale computing, storage, and networking infrastructure. Research Interns work closely with Engineers to discover, invent, and build at the largest scale. From creating experiments and prototyping implementations to designing architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and more. Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day. Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products. The US base salary range for this full-time position is $113,000-$150,000. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************************************ . **Responsibilities** + Develop and execute a research agenda. + Contribute to a productive and innovative team, including working with peers, managers, and partner teams. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ Mountain View, CA, USA; Atlanta, GA, USA; +28 more; +27 more _bar_chart_ Intern & Apprentice _info_outline_ X Applications will be reviewed on a rolling basis and it's in the candidate's best interest to apply early. The anticipated application window is open until **February 27, 2026** , but may close earlier if all available projects are full. Applications submitted after the application window or once role is closed/projects are full will not be considered. Timing on when you can hear back will vary and can take upwards of 90+ days. If you haven't heard from us in three months about an application, we likely proceeded with other candidates for that particular role. However, our recruiters might reach out if we find a different potential match for your skills, interests, and experience. Participation in the internship program requires that you are located in the United States for the duration of the internship program. This internship is intended for students in their penultimate academic year, who are pursuing a PhD degree program in Computer Science or a related field. If you are in an earlier academic year we encourage you to apply to the Student Researcher openings. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program. To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the "Apply" button on this page and provide the required materials in the appropriate sections (PDFs preferred): 1. In the "Resume Section:" attach an updated CV or resume. + Please ensure your anticipated graduation date (in MM/YY) is listed on the resume. 2. In the "Education Section:" attach a current or recent unofficial or official transcript in English. + Under "Degree Status," select "Now attending" to upload a transcript. This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mountain View, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Bellevue, WA, USA; Chicago, IL, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Madison, WI, USA; New York, NY, USA; Palo Alto, CA, USA; Portland, OR, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA; Redmond, WA, USA; Redwood City, CA, USA; San Diego, CA, USA; Goleta, CA, USA; San Bruno, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; San Jose, CA, USA; Santa Cruz, CA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA** . **Minimum qualifications:** + Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or related technical field. + Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas). **Preferred qualifications:** + Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term time. + Penultimate academic year or returning to a degree program after completion of the internship. + Experience as a researcher, including internships, full-time, or at a lab. + Experience contributing research communities or efforts, including publishing papers in major conferences or journals. + Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.). **About the job** Join us for a full-time, 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google, including Search, Maps, and Google Now, and is central to the success of Google Cloud and our planet-scale computing, storage, and networking infrastructure. Research Interns work closely with Engineers to discover, invent, and build at the largest scale. From creating experiments and prototyping implementations to designing architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and more. Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day. Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products. The US base salary range for this full-time position is $113,000-$150,000. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************************************ . **Responsibilities** + Develop and execute a research agenda. + Contribute to a productive and innovative team, including working with peers, managers, and partner teams. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ Mountain View, CA, USA; Atlanta, GA, USA; +28 more; +27 more _bar_chart_ Intern & Apprentice _info_outline_ X Applications will be reviewed on a rolling basis and it's in the candidate's best interest to apply early. The anticipated application window is open until **February 27, 2026** , but may close earlier if all available projects are full. Applications submitted after the application window or once role is closed/projects are full will not be considered. Timing on when you can hear back will vary and can take upwards of 90+ days. If you haven't heard from us in three months about an application, we likely proceeded with other candidates for that particular role. However, our recruiters might reach out if we find a different potential match for your skills, interests, and experience. Participation in the internship program requires that you are located in the United States for the duration of the internship program. This internship is intended for students in their penultimate academic year, who are pursuing a PhD degree program in Computer Science or a related field. If you are in an earlier academic year we encourage you to apply to the Student Researcher openings. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program. To start the application process, you will need an updated CV or resume and a current unofficial or official transcript in English. Click on the "Apply" button on this page and provide the required materials in the appropriate sections (PDFs preferred): 1. In the "Resume Section:" attach an updated CV or resume. + Please ensure your anticipated graduation date (in MM/YY) is listed on the resume. 2. In the "Education Section:" attach a current or recent unofficial or official transcript in English. + Under "Degree Status," select "Now attending" to upload a transcript. This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mountain View, CA, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Bellevue, WA, USA; Chicago, IL, USA; Irvine, CA, USA; Kirkland, WA, USA; Los Angeles, CA, USA; Madison, WI, USA; New York, NY, USA; Palo Alto, CA, USA; Portland, OR, USA; Pittsburgh, PA, USA; Raleigh, NC, USA; Durham, NC, USA; Reston, VA, USA; Redmond, WA, USA; Redwood City, CA, USA; San Diego, CA, USA; Goleta, CA, USA; San Bruno, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; San Jose, CA, USA; Santa Cruz, CA, USA; Sunnyvale, CA, USA; Washington D.C., DC, USA** . **Minimum qualifications:** + Currently enrolled in a PhD degree in Computer Science, Linguistics, Statistics, Biostatistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or related technical field. + Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas). **Preferred qualifications:** + Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term time. + Penultimate academic year or returning to a degree program after completion of the internship. + Experience as a researcher, including internships, full-time, or at a lab. + Experience contributing research communities or efforts, including publishing papers in major conferences or journals. + Experience with one or more general purpose programming languages (e.g., Python, Java, JavaScript, C/C++, etc.). **About the job** Join us for a full-time, 12-14 week paid internship that offers personal and professional development, an executive speaker series, and community-building. Research happens across Google everyday, in many different teams. Our research has already impacted user-facing services across Google, including Search, Maps, and Google Now, and is central to the success of Google Cloud and our planet-scale computing, storage, and networking infrastructure. Research Interns work closely with Engineers to discover, invent, and build at the largest scale. From creating experiments and prototyping implementations to designing architectures, Research Interns work on challenges in artificial intelligence, machine perception, data mining, machine learning, natural language understanding, privacy, computer architecture, networking, operating systems, storage and data management, and more. Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day. Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products. The US base salary range for this full-time position is $113,000-$150,000. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************************************ . **Responsibilities** + Develop and execute a research agenda. + Contribute to a productive and innovative team, including working with peers, managers, and partner teams. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. **Meet the Team** Join a collaborative team of researchers and engineers dedicated to unlocking insights from substantial volumes of structured, unstructured, transactional, and real-time data. Together, we analyze diverse data sources to understand customer usage patterns and deliver actionable, impactful insights using advanced metrics, algorithms, and statistical techniques. **Your Impact** As an AI Research Intern, you will contribute to sophisticated research in large language models (LLMs), natural language processing (NLP), and multimodal deep learning. Working with senior researchers and cross-functional teams, you'll help build, implement, and evaluate machine learning models and algorithms. You'll participate in data collection, preprocessing, and analysis, and assist in developing and fine-tuning AI models for a variety of applications. Your expertise in data manipulation, model building, and database design will help transform raw data into important insights, while you continue to develop your skills with the latest tools and frameworks. You will also support research initiatives by creating experiments, comparing algorithms, tuning hyperparameters, and documenting results. In addition, you'll share findings with the team, contribute to reports and presentations, and help onboard new team members. Through collaboration and ongoing learning, your work will help identify business and research opportunities, drive strategic decisions, and advance the field of AI at Cisco. **Minimum Qualifications** + Currentlyenrolled in an undergraduate degree program. Relevant fieldsinclude:Relevant fieldsinclude:Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, ora relatedprogram. + Proficiencyin software development, with experience in relevant programming languages (such as Python and Go) and associated tools. + Ability to analyze and interpret data using statistical methods or data analysis tools (e.g., Excel, pandas, NumPy). **Preferred Qualifications** + Experience working with inference engines (e.g.,vLLM, Triton,TorchServe) for LLM serving and optimization. + Familiarity with containerization and cloud platforms (such as Docker and AWS), as well as distributed systems for scaling and deploying AI models. + Familiarity with agentic AI concepts, agent frameworks, and related applications. + Experience training large language models (LLMs)-including modeling, optimization, fine-tuning, and serving-using Python and common AI libraries (such as TensorFlow,PyTorch, or Hugging Face Transformers), asevidencedby academic, project, or professional work. + Understanding ofmachine learning, deep learning, and natural language processing concepts, as proven through academic, project, or professional work. ProductIntern26 **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. Meet the Team Join a collaborative team of researchers and engineers dedicated to unlocking insights from substantial volumes of structured, unstructured, transactional, and real-time data. Together, we analyze diverse data sources to understand customer usage patterns and deliver actionable, impactful insights using advanced metrics, algorithms, and statistical techniques. Your Impact As an AI Research Intern, you will contribute to sophisticated research in large language models (LLMs), natural language processing (NLP), and multimodal deep learning. Working with senior researchers and cross-functional teams, you'll help build, implement, and evaluate machine learning models and algorithms. You'll participate in data collection, preprocessing, and analysis, and assist in developing and fine-tuning AI models for a variety of applications. Your expertise in data manipulation, model building, and database design will help transform raw data into important insights, while you continue to develop your skills with the latest tools and frameworks. You will also support research initiatives by creating experiments, comparing algorithms, tuning hyperparameters, and documenting results. In addition, you'll share findings with the team, contribute to reports and presentations, and help onboard new team members. Through collaboration and ongoing learning, your work will help identify business and research opportunities, drive strategic decisions, and advance the field of AI at Cisco. Minimum Qualifications * Currently enrolled in an undergraduate degree program. Relevant fields include: Relevant fields include: Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related program. * Proficiency in software development, with experience in relevant programming languages (such as Python and Go) and associated tools. * Ability to analyze and interpret data using statistical methods or data analysis tools (e.g., Excel, pandas, NumPy). Preferred Qualifications * Experience working with inference engines (e.g., vLLM, Triton, TorchServe) for LLM serving and optimization. * Familiarity with containerization and cloud platforms (such as Docker and AWS), as well as distributed systems for scaling and deploying AI models. * Familiarity with agentic AI concepts, agent frameworks, and related applications. * Experience training large language models (LLMs)-including modeling, optimization, fine-tuning, and serving-using Python and common AI libraries (such as TensorFlow, PyTorch, or Hugging Face Transformers), as evidenced by academic, project, or professional work. * Understanding of machine learning, deep learning, and natural language processing concepts, as proven through academic, project, or professional work. ProductIntern26 Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.