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Experience Level
Entry Level
Qualifications
Currently pursuing a Bachelor's Degree in Business, Finance, or a related field. Strong analytical skills with a keen attention to detail. Excellent communication and teamwork abilities. Proficiency in Microsoft Excel and familiarity with data analysis tools. A passion for technology and a desire to learn about revenue operations.
About the job
Join Cloudflare as a Revenue Operations Intern, where you will be immersed in a dynamic learning environment focused on Systems & Tools. This internship is an exciting opportunity to gain hands-on experience in revenue operations and contribute to impactful projects over a 3-month period during the Summer or Fall.
About Cloudflare, Inc.
Cloudflare is a global network that helps to build a better internet. We provide a wide range of services to enhance security, performance, and reliability for websites and applications. Our mission is to help our customers succeed by providing innovative solutions that are both effective and efficient.
Join Planet, where we harness space technology to enhance life on Earth.As the architects behind the world's largest constellation of imaging satellites, we provide an unparalleled dataset through a groundbreaking cloud-based platform, serving vital sectors such as commercial, environmental, and humanitarian organizations. Our dual identity as both a space and data company allows us to innovate across various domains.Our global clientele relies on Planet's data to pioneer technologies, boost revenue, conduct critical research, and tackle some of the most challenging problems facing our planet.At Planet, we oversee every aspect of hardware design, production, data processing, and software engineering, creating a collaborative environment filled with experts from diverse fields.We prioritize a people-first culture, fostering a community that supports our team members while preparing for future growth. Become part of Planet's mission to transform how the world perceives itself.Our team is distributed worldwide, with employees working remotely and from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.About the Internship:Planet’s Summer 2026 internships are full-time, paid positions spanning 12 weeks at our San Francisco headquarters.Program Dates:June 1 - August 21June 22 - September 11Role Overview:The Program and Systems team at Planet is looking for an Imaging Systems Intern who will assist in the development and validation of our fleet of Earth-imaging satellites. This role is ideal for systems thinkers eager to explore the intersection of physics, hardware, and software. You will report to Imaging leadership and collaborate closely with teams in Electro Optics, Thermal, GNC, Mission Software, and Operations to ensure our imaging payloads operate effectively in both ground and orbital conditions.This is a full-time in-office position based in San Francisco, requiring presence five days a week.Your Impact:Collaborate with spacecraft hardware, mission operations, imaging pipeline, and embedded software teams to fulfill product requirements.Assist in ground and flight testing, and the operation of innovative imaging systems.Support Verification & Validation (V&V) campaigns to ensure payloads meet imaging performance benchmarks.Help troubleshoot and resolve issues related to imaging systems.
Physical Intelligence seeks a Hardware Systems Engineering Intern to support its core hardware team in San Francisco. This group maintains the infrastructure behind a robotic fleet that performs real-world tasks, from washing dishes for hours to brewing coffee in both warehouse and unpredictable outdoor settings. Role overview The hardware team operates at the intersection of mechanical, electrical, and systems engineering. Team members work closely with software, controls, and manufacturing engineers to transition robots from prototypes into production. Daily work includes developing and running test protocols, troubleshooting failures in the field, and building systems that ensure reliability in a range of environments. What you will do Cross-disciplinary problem solving: Address challenges that combine mechanical, electrical, and control systems. Analyze ambiguous issues, identify root causes, and design practical fixes. Reliability analysis: Collect data and conduct reliability studies to spot failure trends, monitor system uptime, and contribute to investigations using methods such as RCCA and FMEA. Failure tracking: Build failure pareto charts to highlight key failure causes and timing. Work with engineers across disciplines to monitor system performance throughout different builds and deployments. Tooling and process design: Design and construct tools, jigs, and processes that improve speed, safety, and reliability for the robot fleet. Test protocols: Execute and refine testing procedures for new hardware, field repairs, and post-service checks. Build and production support: Assist with hardware builds, inventory tracking, materials handling, and vendor coordination. Configuration and serialization: Help implement configuration, serialization, and test tracking systems to streamline service and replacement processes. Requirements Pursuing or completed a Bachelor's degree in Mechanical or Mechatronics Engineering.
About NudgeAt Nudge, we are dedicated to pioneering advanced technologies that interface with the human brain to enhance lives. Our innovative approach focuses on developing a non-invasive ultrasound device capable of high-resolution brain stimulation and imaging. This initiative encompasses a comprehensive effort to build state-of-the-art hardware, software, and research capabilities, with the aim of creating transformative products that will benefit millions, and ultimately billions, of people.About the RoleDesign and implement algorithms for both structural and functional ultrasound imaging of the brain.Contribute to the engineering of tailored hardware optimized for imaging applications.Validate in-silico ultrasound imaging methods using custom hardware in physical models and through in vivo studies in rodents and humans.Develop techniques for aberration correction informed by ultrasound imaging data.About YouWe are seeking talented research scientists across various levels of experience. Regardless of your career stage, you should possess:A PhD or postdoctoral experience in physics, bioengineering, medical imaging, or a related engineering field.Deep knowledge of ultrasound physics and metrology.Strong expertise in full-waveform inversion imaging, functional transcranial Doppler imaging, or functional ultrasound imaging.Experience with machine learning techniques is highly desirable.A proven track record of significant technical contributions.A commitment to high standards of integrity and professionalism.
Join our dedicated team as a Magnetic Resonance Imaging Technologist at International SOS Government Medical Services in San Francisco. In this critical role, you will be responsible for operating MRI equipment to produce high-quality images, ensuring patient safety, and maintaining the equipment. Your expertise will contribute significantly to our goal of providing exceptional healthcare services.
Internship|$75K/yr - $75K/yr|On-site|San Francisco, CA
About Faire Faire is an online wholesale marketplace focused on supporting independent retailers. By connecting small businesses with products from around the world, Faire aims to help local shops compete with major players like Walmart and Amazon. The company uses technology, data analytics, and machine learning to provide insights and tools that level the playing field for entrepreneurs everywhere. Faire’s work strengthens local economies by enabling independent businesses to thrive. The team values resourcefulness, intelligence, and a commitment to community. Those who believe in supporting local businesses will find a shared purpose here. Role Overview: Data Science Intern – Personalization & Recommender Systems This internship focuses on building and improving machine learning systems that power search, personalization, and recommendations for Faire’s marketplace. Interns will join a team dedicated to developing algorithms that help local retailers discover relevant products and compete with larger competitors. The team welcomes Master’s and PhD students with a background in recommender systems, personalization, or applied machine learning. Who We’re Looking For Strong interest in recommender systems and personalization Experience applying modern machine learning techniques to ranking or representation learning PhD candidates: a record of publications or submissions to top conferences (such as KDD, RecSys, ICML, NeurIPS, WWW, SIGIR) Master’s candidates: meaningful research projects, internships, or open-source contributions in related areas What You’ll Work On Design and build advanced recommender systems for product ranking and discovery Develop methods for user and item representation learning Collaborate with machine learning engineers to move research solutions into production Tackle personalization challenges that impact millions of recommendations each day Location San Francisco, CA
Internship|On-site|San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; New York, NY, US
Pinterest is looking for a PhD Fall Machine Learning Intern with a focus on visual, multimodal, and recommender systems. This internship centers on supporting advanced machine learning projects alongside skilled engineers and researchers. Role overview The position involves contributing to ongoing research and development in machine learning. Interns will have the chance to work on projects that explore visual understanding and recommendation technologies, learning from experienced team members throughout the process. Collaboration Expect to work closely with engineers and researchers who specialize in machine learning. The environment encourages sharing ideas and building solutions that impact Pinterest’s products. Locations San Francisco, CA, US Palo Alto, CA, US Seattle, WA, US New York, NY, US
About NudgeAt Nudge, we are dedicated to pioneering innovative technologies that interface with the brain, aiming to enhance the quality of life for individuals. Our current focus is on a revolutionary non-invasive ultrasound-based device that stimulates and images the brain with exceptional resolution and depth. This ambitious initiative encompasses the development of advanced hardware, software, and research capabilities to create impactful products, potentially benefiting millions—and ultimately billions—of people.Role OverviewAs a Research Scientist specializing in rodent behavior and neural imaging, you will:Design and conduct experiments on rodents to evaluate the effects of ultrasound neuromodulation on neural circuits and behavior.Gather and analyze both behavioral and neural data through techniques including electrophysiology, calcium imaging, and/or fiber photometry.Create and validate experimental paradigms to correlate changes in neural activity with behavioral and physiological responses that hold clinical significance.Refine ultrasound stimulation parameters for specific brain circuits and cell types to achieve precise neuromodulation.Translate findings from preclinical studies to inform human neuromodulation research.Your ProfilePhD or postdoctoral experience in neuroscience, biomedical engineering, or a related engineering field.Extensive expertise in ultrasound neuromodulation, functional ultrasound neuroimaging, optogenetics, electrophysiology, two-photon microscopy, or fiber photometry in animal models.Experience with automated behavioral tracking and computational analysis of neural and behavioral data.Familiarity with designing experiments based on ultrasound physics and acoustic field modeling is preferred.A proven track record of significant technical contributions.Demonstrated integrity and dedication to excellence.
Join Rylo, a pioneering company revolutionizing video capture technology with a camera that allows you to record your experiences effortlessly. Our team, comprised of talented engineers from Instagram and Apple, has developed cutting-edge stabilization software and a user-friendly smartphone app that redefine the video sharing experience. With Rylo, capturing stunning, smooth videos is as simple as pressing a button, allowing you to focus on the moment without stressing over details.Discover Rylo in actionWe are on the lookout for a Senior Camera Image Quality Engineer to contribute to the development of our next-generation consumer video cameras. This role involves defining image quality requirements, evaluating lens designs, and creating imaging test methods while modeling the complete imaging system from capture to display. The ideal candidate will possess expertise in optics, image processing, image sensors, manufacturing testing, and imaging system modeling.
Merge Labs is a pioneering research laboratory dedicated to merging biological and artificial intelligence to enhance human potential, autonomy, and experiences. Our mission is to advance this integration through the creation of innovative brain-computer interfaces that communicate with the brain at high bandwidth, seamlessly incorporate cutting-edge AI technology, and are designed to be safe and accessible for all users.About the TeamOur Bio team is at the forefront of designing, constructing, and evaluating the biotechnologies that underpin the next generation of brain-computer interfaces. We leverage molecular engineering, synthetic biology, neuroscience, and advanced physical methods like ultrasound to establish minimally invasive, high-bandwidth connections with neurons. The Bio team develops core molecular technologies, rigorously tests their performance both in vitro and in vivo, and showcases their advanced functionalities in animal models. We create custom experimental setups and pipelines while collaborating closely with engineers and data scientists, fostering interdisciplinary innovation to tackle complex challenges in biotechnology.About the RoleAs an Imaging Research Associate, you will play a crucial role in both the execution and innovation of our research initiatives. Your responsibilities will include the preparation of high-quality biological samples and the management of advanced microscopy systems, ensuring the delivery of consistent and well-characterized imaging data. This role demands technical precision, a systems-oriented mindset, and meticulous attention to reproducibility, transforming complex experimental protocols into reliable workflows that drive discovery across the organization.As you gain expertise with these systems, you will have opportunities to contribute to methodological innovations in partnership with functional team leaders. This may involve designing and validating new imaging protocols, exploring unique sample preparation techniques, and assisting in the development of novel hardware configurations tailored to Merge’s technologies. Ultimately, this position allows for significant innovation in imaging methodologies and technologies, broadening the experimental capabilities of the organization.
Become a part of SimonMed Imaging, the nation's leading and fastest-growing outpatient radiology practice! We are dedicated to enhancing patient care through innovative technology and a commitment to excellence. This is a unique chance to advance your professional skills while collaborating with a team of board-certified subspecialty radiologists. Join us to make a meaningful impact in the healthcare industry—your future awaits!
Become a key member of the fastest growing outpatient radiology practice in the nation, SimonMed Imaging! We are dedicated to delivering exceptional patient care while utilizing state-of-the-art technology, positioning us as a leader in the rapidly evolving healthcare landscape. Don’t miss this exceptional opportunity to enhance your skills and work with a highly skilled team of board-certified subspecialty radiologists. Join us today!
Become a part of SimonMed Imaging, the nation's leading outpatient radiology practice, renowned for our commitment to exceptional patient care and cutting-edge technology. We pride ourselves on being at the forefront of the healthcare landscape, constantly evolving to meet the needs of our patients. This is a unique opportunity to enhance your skills and grow alongside a team of dedicated board-certified subspecialty radiologists. Join us in shaping the future of radiology!
Full-time|$26/hr - $26/hr|On-site|San Francisco, California, United States
Become a Part of Our Dynamic Team!At DSI Systems, we bring over 40 years of expertise in sales enablement and tailored business solutions, consistently delivering exceptional value and results for our clients. We are seeking enthusiastic individuals who are ready to excel in sales and customer service. Join us in a vibrant and fulfilling work environment where your contributions will drive significant impact and professional growth.Role OverviewThe Retail Support Specialist (RSS) is essential in providing hands-on, frontline assistance to AT&T customers in bustling national retail locations. In this pivotal role, you will interact directly with customers and retail partners to address account, billing, device, and service inquiries, especially in high-volume scenarios. Success in this position requires outstanding communication abilities, emotional resilience, technological proficiency, and the capacity to maintain professionalism and accuracy in a fast-paced retail environment.Key Responsibilities:Customer SupportDeliver friendly, professional, and solution-oriented support to AT&T customers within national retail settings.Address inquiries surrounding billing, account modifications, plan adjustments, device assistance, and service issues.Troubleshoot wireless devices and network problems, ensuring optimal feature functionality.Perform efficiently in high-traffic retail environments, sustaining focus, professionalism, and service quality during peak periods and escalated situations.Retail Partner SupportServe as the AT&T subject-matter expert for retail staff and third-party partners.Act as the primary AT&T liaison for these partners, leading in-store support for escalated retail issues.Proactively collaborate with store management to resolve customer concerns, reinforcing partnership alignment and ensuring an exceptional customer experience.Work Environment & Schedule ExpectationsThis position operates in a retail setting, necessitating standing, walking, and active engagement on the sales floor for up to 8 hours daily.Flexibility in schedule is required, including availability for evenings, weekends, and holidays as dictated by business needs.Comfort in busy, customer-facing environments with frequent interaction and problem-solving responsibilities is essential.Operational ExcellenceEffectively navigate multiple systems simultaneously while engaging with customers in real-time.Thoroughly document all customer interactions.Adhere to company policies, compliance regulations, and privacy standards.Achieve or surpass performance metrics, including quality, efficiency, and customer satisfaction scores.Execute and maintain approved planograms for mobile device displays and signage.Maintain inventory accuracy and assist in stock replenishment as needed.
Become part of the nation's leading outpatient radiology practice, SimonMed Imaging! We pride ourselves on our unwavering commitment to excellence and patient care, complemented by state-of-the-art technology that positions us as an industry pioneer in the dynamic healthcare landscape. Seize this exclusive opportunity to elevate your skills and collaborate with a team of dedicated, board-certified subspecialty radiologists. We eagerly await the chance to welcome you!
Join Baseten as a Software Engineer focused on Billing and Internal Tooling, where you will play a crucial role in developing and enhancing our internal systems. You will collaborate with cross-functional teams to create efficient billing solutions and streamline internal processes. Your contributions will directly impact our operational efficiency and customer satisfaction.
Job OverviewJoin our team at Eragon as an Applied AI Intern, where you will play a crucial role in developing and deploying advanced AI systems. Collaborating closely with engineers and researchers, you'll contribute to transforming AI models from theoretical concepts into impactful real-world applications.This internship offers a unique opportunity for hands-on experience across various aspects of modeling, data management, and systems integration, working on projects that directly reach users.Main ResponsibilitiesModel Development: Assist in refining, assessing, and implementing machine learning models to address practical challenges.System Implementation: Collaborate in building and integrating AI-driven features into live production systems.Data & Pipelines: Engage with datasets to facilitate training, evaluation, and iterative improvements.Experimentation: Conduct experiments, analyze outcomes, and enhance model performance through iterative testing.Evaluation & Monitoring: Contribute to the development of evaluation frameworks and assist in monitoring system performance metrics.Cross-Functional Collaboration: Work alongside engineering and product teams to aid in the development of new features.QualificationsEducation: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.Technical Skills: Proficient in Python with familiarity in machine learning frameworks such as PyTorch or TensorFlow.ML Fundamentals: Strong understanding of fundamental machine learning concepts and workflows.Problem-Solving Skills: Demonstrated ability to dissect problems and contribute to effective solutions.Curiosity & Initiative: A keen desire to learn and make meaningful contributions in a fast-paced setting.Preferred QualificationsExperience in machine learning projects, internships, or research roles.Familiarity with large language models, AI agents, or data pipelines.Demonstrated experience in building projects beyond academic coursework.Genuine interest in real-world AI applications.
Role overview OpenAI seeks a Systems Engineer to work directly with network, storage, and systems infrastructure. This position involves hands-on support for the core technology stack, ensuring that essential systems remain performant and reliable. Daily work centers on maintaining and improving the backbone that supports OpenAI's operations. The role addresses both immediate technical issues and ongoing infrastructure needs. Key focus areas Manage and optimize network, storage, and systems components Support the stability and efficiency of core infrastructure Troubleshoot and resolve issues impacting system performance Location This position is based in San Francisco.
Join Cloudflare as a Revenue Operations Intern, where you will be immersed in a dynamic learning environment focused on Systems & Tools. This internship is an exciting opportunity to gain hands-on experience in revenue operations and contribute to impactful projects over a 3-month period during the Summer or Fall.
About Us:Aurelius Systems is an innovative, VC-backed defense technology startup focused on developing autonomous robotics systems capable of utilizing directed energy for counter-unmanned aerial systems (UAS).Our mission is to create cutting-edge laser weapon systems designed to neutralize drones.Comprising a dedicated team of around 10 engineers, including former U.S. military operators and industry experts, we are committed to advancing America's directed energy capabilities with our reliable and robust laser weapon systems.Inspired by the principles of Marcus Aurelius, we adhere to a philosophy of relentless work ethic, much like Henry Ford's transformative approach to manufacturing. Our operational style emphasizes small teams delivering exceptional results without shying away from ambitious goals.With a lab and office in San Francisco and a manufacturing hub in Detroit, we conduct field tests weekly on our expansive, 400-acre private range.If you are an engineer who prefers practical applications of your work in real-world environments rather than confined lab settings, we invite you to continue reading.Your Role & Impact:As a Test Engineer, your primary responsibility will be to determine the functionality and performance of our systems across all layers. We are transitioning from prototype to production for an electromechanical directed energy system, and the test infrastructure you develop will serve as the cornerstone for our future products. You will be tasked with creating test benches from the ground up, ensuring they accurately simulate real-world conditions.You will lead the verification and validation processes for embedded firmware, power electronics, electromechanical assemblies, and full-system integration.Your work will directly influence every field test and demonstration, ensuring we arrive with a functional product.Your Responsibilities:Design and construct Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) test environments for embedded controllers, actuators, sensors, and power systems.Conduct performance, reliability, and safety testing at the system level, integrating hardware and firmware evaluations.Develop comprehensive test plans, acceptance criteria, and readiness gates as we progress from prototype to production.Write automated testing procedures in Python, creating your own regression suites without relying on external tooling.Oversee all aspects of field testing: setup, operation, data collection, teardown, post-test analysis, and documentation of failures.Debug across the entire stack of the system.
About the Internship Cloudflare is looking for a Procurement Strategy & Operations Intern to support projects across procurement, supply chain management, and operations. This hybrid role offers students a chance to work alongside experienced teams and contribute to ongoing process improvements. What You Will Do Work with cross-functional teams to strengthen procurement strategies Support efforts to streamline and improve operational processes Gain practical experience in procurement and supply chain within a technology company Location This internship follows a hybrid schedule.
Apr 17, 2026
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