Engineering internship jobs in Gilroy, CA

Large GP Firm with Cravath level compensation. An elite industry leader in Life Sciences & Patent Law. Very active with IPRs at the PTAB. A top firm for emerging companies and venture capital in technology and life sciences. Exceptional programs for lateral integration and professional development. REQUIREMENTS Patent prosecution law firm experience, patent bar membership, and a background in one of the following fields: electrical engineering, mechanical engineering, chemical engineering, materials sciences, artificial intelligence (AI)/machine learning (ML), or related disciplines. A demonstrable interest in the life sciences either from industry or educational experience is strongly preferred. Advanced degrees and prior patent agent experience are preferred. We also are seeking candidates with strong verbal, written, and interpersonal skills as well as superior academic credentials. CONFIDENTIALITY At Vanguard-IP, we respect the confidentiality of every candidate who contacts us. Furthermore, we will always obtain expressed authorization before submitting your resume to any of our clients. **Should you have an interest in exploring opportunities in another location, we have hundreds of openings in other markets. Please apply now and our team would be happy to review your information for this or other openings in your location of interest. #J-18808-Ljbffr

Russell Sigler Inc. is a leading independent distributor in the HVAC industry, specializing in Carrier products for over 50 years. Our mission is to deliver exceptional service and products while fostering a supportive work environment for our employees. Position Summary: The Technical Engineer provides design, systems application, and proposal preparation. Works with outside sales engineers, territory managers, and customer contracting and engineering accounts. Responsible for a variety of tasks including equipment selection, job pricing, creation of bid projects, producing submittals, placing orders, and other key job responsibilities including but not limited to the following: Key Duties and Responsibilities: Provide high-level independent ownership of projects of varying size at the different stages of execution, sometimes from start to finish including design, vetting, bidding, submittals, and final release of order Read, interpret, and make pricing and technical equipment selections, and decisions based on contract documents, including but not limited to engineering specifications, engineered equipment schedules, and architectural/engineering plans Review of engineering design and contractual documents to identify areas of risk and compliance Utilize mechanical engineering to verify mechanical equipment is being applied and implemented within the intended and acceptable range of operation Estimating and proposal writing of complex commercial engineered equipment and automation projects Technical specification writing and review Design and application support of external consulting engineering firms for commercial and industrial construction projects Project site visits for engineering and application support of commercial equipment and automation. Offsite project and opportunity meetings with contractors, engineers, owners, and complementary trades Management of multiple time-sensitive deadlines simultaneously Coordinate between the contracting sales department and engineering sales department on design changes and strategy Interact and work closely on a daily basis with outside sales engineers, territory managers, engineering firms, contractors, owners, project coordinators, central bid desk, credit department, order entry department, customer assurance department, warehouse employees, and manufacturers Provide independent high-level direct support for certain contractors, engineers, and outside sales engineers Coordination and verification of multiple external vendors and internal departments to create complex single-package equipment and automation solutions Work among a team to complete a large array of projects in varying phases, delegating work among each other, and independently completing Participate in the development and maintenance of standard operating procedures Attend and participate in job meetings, sales meetings, and trainings Participate in the training of others within and outside of the department Self and group leadership of technical development training and education Critical Knowledge and Skills: Accuracy, analytical skills, and attention to detail are required Exceptional communication and customer service skills Detail oriented Multitasking and organizational skills Good judgment and planning skills Work independently with minimal supervision in a fast-paced work environment Research using systems, software and product guides, catalogs, and manufacturing literature Review, evaluate, and make suggestions and product recommendations to customers as well as provide technical support when needed Knowledge of HVAC Carrier Products is preferred Knowledge of Carrier software (Quote Builder, Sage, HVAC Partners, ECAT, vendor websites) is preferred Work in a constant state of alertness and a safe manner Education and Experience: BS in Engineering is required, a Mechanical Engineering degree is preferred Must have a minimum 3-5 years of HVAC industry and sales experience Pay Range: Starting at $70,000.00 annum. ** Russell Sigler, Inc. (Sigler) is an equal opportunity employer. All applicants will be considered for employment based on merit, qualifications, and business need **

Our Mission As humans, there are few things more exciting than meeting someone new. At Tinder, we're inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive-and rapidly growing. We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more. Program Duration The internship program will run from June 1 through August 28, 2026. Where you'll work This is a hybrid role that requires in-office collaboration three days per week in Palo Alto, California. About the Role The Tinder ML team drives impact across nearly every core domain of the product - from Recommendations and Trust & Safety to Profile, Chat, Growth, and Revenue. Our mission is to apply machine learning to enhance user experiences, foster trust, and accelerate business growth across Tinder's ecosystem. With Tinder's global scale and impact, you'll be at the forefront of solving some of the most complex challenges in technology. In this internship program, you will collaborate with senior engineers to build and deploy ML solutions that advance Tinder's business goals. What you'll do: * Gain real-world experience on exciting challenges to improve the user experience. * Design and implement machine learning algorithms for the assigned domains: Recommendation, Trust, Profile, Chat, Growth, or Revenue. * Experience the ML model formulation of production problem under the guidance. * Work closely with a Senior Engineers to develop machine learning solutions to further Tinder's business goals. * Participate in the annual Tindership Hackathon, presenting with your team to the entire Tinder team and panel of executives. What we're looking for: * Aspiring ML Engineer who's excited to work on large scale challenges with cutting-edge technology. * Practical knowledge of how to build efficient end-to-end ML workflows. * Proficient in Python. * Hands-on experience in designing and building ML models. * Foundational knowledge of basic Computer Science principles: data structures and algorithms. * Currently pursuing a BS/BA or MS in Computer Science or a related field. Nice to have: * Publications in top ML or data science conferences (e.g., NeurIPS, ICML, RecSys, KDD). * Experience deploying ML models in production environments. * Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or Keras. * Experience with Databricks, Spark, or Airflow. * Proficiency in additional programming languages like Go, Java or Scala. $47 - $47 an hour The compensation range listed above is representative of the hourly rate offered. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Palo Alto, California. This hourly rate will be subject to a geographic adjustment (according to a specific city, state, and country), if an authorization is granted to work outside of the location listed in this posting. Commitment to Inclusion At Tinder, we don't just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don't meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: ******************************** If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. #Tinder We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE TYPE: NoneTRAVEL: Yes, 10% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we'll support yours of expanding your personal network and developing skills, whether you are new to the field or an industry thought leader. At Northrop Grumman, you'll have the resources, support, and team to do some of the best work of your career. An internship at Northrop Grumman is unique. Sure, you'll learn new skills, explore our enterprise, network with experts, connect with thought leaders, and finish with a resume that opens doors. But you'll gain something even more valuable: pride in what you've done. Join us and launch your career. We'll support you with training, employee resource groups, and our shared vision of global security. Northrop Grumman is seeking Quality Engineers for an internship opportunity. This position will be located at our Mission Systems Sector in Sunnyvale, CA. The qualified candidate will become part of Northrop Grumman's Quality and Mission Assurance (QMA) department. The QMA department oversees all aspects of program and site Quality within Sunnyvale from inspection, to Quality Engineering, to Quality system compliance. Basic Qualifications A candidate must meet ALL of the below criteria. The candidate must: Be a student who is enrolled full-time and pursuing an undergraduate or graduate degree from an accredited college/university and will be enrolled full time in Fall 2026. Be majoring in Science, Technology, Engineering, or Math (STEM) Be available to work full-time (40 hours per week) for at least 10 weeks during summer 2026. Be able to obtain a U.S. Government security clearance (U.S. citizenship is a pre-requisite) The ability to obtain Special Access Program within a reasonable period of time, as determined by the company to meet its business needs Preferred Qualifications: Have an overall cumulative GPA of 3.0/4.0 or higher Strong analytical and problem-solving skills Attention to detail and a commitment to quality Good communication and teamwork abilities Intern Rate Range: Bachelors: $25.75 to $32.75 Masters: $37.25 - $40.00 At Northrop Grumman, our internship pay rates are standardized and take into account three main factors: the anticipated graduation date of the individual, the cost of labor of the geographic location, and whether the internship is considered technical or administrative. campusjobs The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit *********************************** U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

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 our innovative engineering team focused on building next-generation AI/ML solutions. You'll collaborate with skilled colleagues across platform, security, release engineering, and support teams to deliver high-impact products and ensure their perfect operation. Your Impact Dive into the development and implementation of cutting-edge generative AI applications using the latest large language models-think GPT-4, Claude, Llama, and beyond! Take on the challenge of optimizing neural networks for natural language processing and machine perception, drawing on a toolkit that includes convolutional and transformer-based models, student-teacher frameworks, distillation, and generative adversarial networks (GANs). Performance, scalability, and reliability are front and center as models are trained, fine-tuned, and put through their paces for real-world deployment. Collaboration is at the heart of this role-work alongside talented engineers and cross-functional teams to gather and prep data, design custom layers, and automate model deployment. Experimentation with new technologies and ongoing learning are always encouraged. Production-ready code, robust testing, and creative problem-solving all play a part in bringing innovative AI solutions to life. What an exciting place to grow and make an impact! Minimum Qualifications * Currently enrolled in an undergraduate degree program with 2 years of relevant experience, or currently enrolled in a graduate degree program with 0 years of relevant experience. Relevant fields include: Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related program. * Backend development skills in Go or Python, demonstrated through a technical assessment, coding challenge, or code sample. * Understanding of LLM infrastructure and optimization strategies, shown in a technical interview, assessment, or supporting documentation. * Practical experience with model building and AI or LLM tasks, evidenced by a portfolio, code samples, technical evaluation, or academic/research project documentation. Preferred Qualifications * Experience with inference engines such as vLLM, Triton, or TorchServe. * Knowledge of GPU architecture, optimization techniques, distributed systems, and asynchronous programming models. * Familiarity with agent frameworks and cloud-native platforms. * Experience with cybersecurity principles and Python programming, including common AI libraries. * Exposure to scalable computing environments and best practices for secure, efficient AI deployment. 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.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity The Enterprise Marketing Data Engineering team at Adobe is transforming the convergence of data, AI, and marketing for advanced B2B interactions. Our objective is to construct the data and AI framework underpinning Adobe Experience Platform (AEP), Real-Time Customer Data Platform (RTCDP), and Customer Journey Analytics (CJA) to enable accurate audience segmentation. Become part of the Enterprise Marketing Data Engineering AI Intern team working on AI-based agents for new marketing products. Explore building marketing data ecosystems, using generative AI for quick insights, and crafting scalable data pipelines and models for actionable enterprise AI. Collaborate with engineers and data scientists on modern technologies like Databricks, Spark, AEP, Python, and extensive data modeling to contribute to Adobe's marketing technology evolution. All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities. What You'll Do * Collaborate with senior engineers to develop and optimize data pipelines powering marketing products driven by artificial intelligence. * Engage in tasks related to Adobe Experience Platform (AEP) and Real-Time CDP for the structuring and handling of extensive data sets. * Support the development of AI-based agents that bring to bear large language models to interpret, query, and analyze marketing data. * Support data quality, transformation, and enrichment processes within Adobe's marketing data ecosystem. * Develop prototypes illustrating how AI can boost marketing performance, personalization, and data accessibility. * Analyze large datasets to identify trends, relationships, and opportunities for improving marketing outcomes. * Document data flows, experiment results, and engineering guidelines to support knowledge sharing within the team. What You Need to Succeed * Enrolled full-time in Computer Science or related field, expecting graduation Dec 2026 - Jun 2027. * Ability to participate in a full-time internship between May-September 2026. * Familiarity with Python, SQL, and data processing frameworks (e.g., PySpark, Spark, or Databricks). * Foundational understanding of AI/ML concepts, data modeling, or ETL pipeline development. * Experience with cloud platforms (Azure, AWS, or GCP) and/or data visualization tools (Power BI, Tableau, etc.). * Strong analytical thinking, problem-solving, and communication skills. * Eagerness to understand the impact of AI on enterprise marketing and a drive to construct practical solutions. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $38.00 -- $51.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: At Neuralink, we're engineering the future of automated surgeries, focusing on the safe and effective implantation of our groundbreaking Neuralink implant. Our team - a cross-functional mix of roboticists, engineers from various disciplines, and medical professionals - collaborates on developing a surgical flow from first principles. In this critical role, you'll straddle the cutting-edge worlds of robotics, software, and neuroscience. Job Description and Responsibilities: This is a new role for our team that will allow you to create new embedded systems from scratch while challenging and refining the old. As a Firmware Engineer Intern, your responsibilities will encompass: Developing and optimizing embedded software for robotic surgery applications Streamlining our codebase by refining and, when necessary, retiring legacy embedded software Rigorous testing and validation of software systems to meet the highest safety and reliability standards Participating in peer code reviews Writing drivers and applications to extend the functionality of our robotics Specifying hardware and software choices as we develop future hardware platforms Sharing your findings and progress with the team in a collaborative environment Required Qualifications: Demonstrated track record of success in a science or engineering field, evidenced by outstanding projects, innovations, or advanced problem-solving Proven experience in software development, preferably with exposure to embedded systems Preferred Qualifications: Embedded Software Development: 2+ years of experience with embedded systems Proficient with common communication protocols (SPI, UART, I2C, etc.) Comfortable/working knowledge of more advanced protocols such as PCIe, MIPI CSI/DSI, USB, and 802.3 Proficient in at least one embedded language such as C, C++, or Rust Proficient with embedded toolchains and workflow Experience building and bringing-up MCUs or FPGAs Experience with embedded stacks for ARM cores Experience developing on embedded Linux platforms Experience with embedded Linux kernel configuration and device tree setup Experience with kernel driver development Experience with ARM bootloaders Experience coding drivers for actuators and sensors Experience with high-speed data acquisition and processing Electrical Engineering: Foundational understanding of MCU architectures and peripheral integration Solid knowledge in electrical engineering and DSP Ability to interpret electrical schematics and datasheets, along with proficiency in using lab equipment Expected Compensation: The anticipated hourly rate for this position is listed below. California Hourly Flat Rate: $35/Hr USD What We Offer: Full-time employees are eligible for the following benefits listed below. An opportunity to change the world and work with some of the smartest and most talented experts from different fields Growth potential; we rapidly advance team members who have an outsized impact Excellent medical, dental, and vision insurance through a PPO plan Paid holidays Commuter benefits Meals provided Equity (RSUs) *Temporary Employees & Interns excluded 401(k) plan *Interns initially excluded until they work 1,000 hours Parental leave *Temporary Employees & Interns excluded Flexible time off *Temporary Employees & Interns excluded

About the Role: We are seeking a SAP Prompt Engineer Intern to join Align Technology's dynamic team. This role is ideal for graduate students from any accredited college who are passionate about SAP systems and AI-driven solutions. You will work closely with technical and functional SAP teams to design, optimize, and implement prompt engineering strategies that enhance automation and efficiency within SAP environments. Key Responsibilities: * Collaborate with SAP functional and technical teams to understand business processes and system requirements. * Develop and refine prompts for AI tools (e.g., ChatGPT, Gemini) to support SAP-related tasks, including configuration and development workflows. * Assist in creating intelligent solutions for SAP ECC and S/4HANA environments using prompt engineering principles. * Support customization and development activities, leveraging ABAP programming where applicable. * Document prompt strategies, test cases, and best practices for future scalability. Required Qualifications: * Currently enrolled in a graduate program at an accredited college or university. * Hands-on experience with AI tools such as ChatGPT, Gemini, or similar platforms. * Basic understanding of prompt engineering concepts and their application in enterprise systems. * Strong analytical and problem-solving skills with attention to detail. Preferred Skills: * Familiarity with SAP architecture, including functional (configuration) and technical (customization, development) streams. * Knowledge of ABAP programming language (highly desired). * Exposure to S/4HANA (a plus), though experience with ECC is valuable. * Understanding of core SAP configuration processes for functional roles. What We Offer: * Opportunity to work on cutting-edge AI and SAP integration projects. * Mentorship from experienced SAP and AI professionals. * Hands-on experience in a global technology-driven organization. Would you like me to also create a short version for job boards (e.g., LinkedIn, Handshake) or draft an evaluation rubric for screening candidates? .

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description This internship role will be based out of Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. LinkedIn is seeking innovative and motivated PhD students to join our team as Generative AI Engineering Interns. As a part of our AI/ML teams, you will work on advancing the frontier of Generative AI, applying cutting-edge techniques in areas such as text generation, image synthesis, multimodal models, evaluation frameworks, and reinforcement learning. You'll collaborate with a dynamic group of AI researchers and engineers to develop scalable, production-ready models that impact LinkedIn's products and user experiences. LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our engineers work on projects from ideation to implementation. Our mission is crystal clear: to elevate the LinkedIn member experience through the implementation of cutting-edge technologies that enable advanced cognitive understanding of multimedia content. Whether it's text, images, videos, ads, or live content, we are leading the way in developing state-of-the-art large vision language technologies. Candidates must be currently enrolled in a PhD program, with an expected graduation date of December 2026 or later. Our internships are 12 weeks in length and will have the option of two intern sessions: * May 26th, 2026 - August 14th, 2026 * June 15th, 2026 - September 4th, 2026 Responsibilities: * Conduct research and development on state-of-the-art Generative AI models, including transformers, diffusion models, GANs, and autoregressive architectures * Apply advanced Generative AI techniques to a variety of tasks such as text generation, creative content generation, conversational agents, and multimodal learning * Develop and implement large-scale, production-quality Generative AI systems that integrate with LinkedIn's platform * Design and implement evaluation frameworks for AI models, including metrics, datasets, and pipelines for automated testing and benchmarking * Collaborate with product teams to build innovative AI-driven user experiences, from personalized content to conversational agents * Contribute to internal frameworks for human-in-the-loop annotation and preference modeling Qualifications Basic Qualifications: * Currently pursuing a PhD in computer science, statistics, mathematics, electrical engineering, machine learning, or related technical field and returning to the program after the completion of the internship * Proven research experience in Generative AI, including LLMs, GANs, VAEs, diffusion models, or similar architectures * Knowledge of generative models, neural networks, and probabilistic methods for AI * Proven experience with programming languages such as Python and machine learning libraries like TensorFlow or PyTorch Preferred Qualifications: * Proven track record in developing machine learning algorithms for solving computer vision and graphics problems (e.g., generative models for images and videos), as well as prototyping invented algorithms * Experience with multimodal learning, combining visual and textual data in Generative AI systems * Knowledge of reinforcement learning applied to Generative AI tasks * Hands-on experience deploying generative models in production environments * Publication record in AI/ML conferences (e.g. NeurIPS, ICML, CVPR, ICCV) * Proficiency in Python and deep learning frameworks (e.g. PyTorch, TensorFlow, JAX) * Involvement in consumer-facing product development and design * Understanding of configuration management techniques and tools * Proven proficiency with command of algorithms and data structures * Excellent communication skills Suggested Skills: * Machine learning and deep learning * Advanced data mining * Strategic thinking and problem-solving capabilities LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $62 to $75 per hour. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

Onwards Together! Illumio is the leader in ransomware and breach containment, redefining how organizations contain cyberattacks and enable operational resilience. Powered by the Illumio AI Security Graph, our breach containment platform identifies and contains threats across hybrid multi-cloud environments - stopping the spread of attacks before they become disasters. Recognized as a Leader in the Forrester Wave™ for Microsegmentation, Illumio enables Zero Trust, strengthening cyber resilience for the infrastructure, systems, and organizations that keep the world running. This is a 12 week internship program beginning on May 26th 2026 or June 22nd 2026 Location: Onsite 5 day's a week at Headquarters in Sunnyvale, CA Our Team's Vision: Illumio's Cloud Secure team builds and operates the data backbone that powers our AI-driven Security Graph - a system that maps the world's most complex cloud environments in real time. We ingest and process petabytes of cloud metadata and network flow logs from AWS, Azure, GCP, and OCI cloud environments using high throughput streaming applications. This data fuels our graph analytics and Zero Trust segmentation engine, giving customers deep visibility and precise control across billions of workloads. Our SaaS platform spans multi-cloud environments and leverages a modern tech stack of Golang, Kafka, Neo4j, Postgres, and advanced data lake technologies that are all containerized and orchestrated at scale. As an intern, you'll work at the intersection of large-scale data engineering, distributed systems, and cybersecurity analytics, contributing to systems that help secure the world's most critical workloads. What You'll Do: Design, implement, and test features within large-scale data ingestion and analytics pipelines that handle streaming telemetry across multi-cloud environments Contribute to the AI-powered Security Graph, experimenting with data models and graph queries that enrich cloud visibility Collaborate with engineers to optimize performance, reliability, and cost efficiency across Kafka, Neo4j, and Postgres-backed services Develop dashboards and automation for data health, ingestion latency, and observability metrics Explore new ways to extract insights from flow data, using data lakes and analytics frameworks to uncover behavioral patterns Document and share technical findings and impact metrics with engineering and product teams to support data-driven decision-making What You'll Bring: Currently enrolled in a full time Bachelor's or Master's degree program in Computer Science, Software Engineering, or a related field, with an expected graduation date in Winter 2026/Spring2027 Strong coding skills in Golang, Python, or Java, and an understanding of data structures and distributed system design Curiosity about AI applications in cybersecurity, graph analytics, and streaming data pipelines Familiarity with Kafka, Kubernetes, and cloud services (AWS, Azure, GCP) A growth mindset, strong analytical thinking, and enthusiasm for tackling scale challenges What You'll Gain: Experience operating in multi-cloud, petabyte-scale environments that power real-time cybersecurity analytics Hands-on exposure to streaming data systems, graph databases, and data lake architectures Mentorship from engineers building one of the industry's most advanced cloud visibility and segmentation platforms A capstone opportunity to design, implement, and demo a project that has a measurable impact on data scale, efficiency, or insight generation Compensation: $ 37 - 47 USD Our Commitment: Illumio believes that an environment of unique backgrounds, experiences, viewpoints, and individual contributions drives our success and makes us stronger together. We are dedicated to creating and maintaining a diverse culture and emphasizing inclusion and belonging. #LI-PO #LI-ONSITE All official job offers from our company are extended directly by our recruitment team and will be sent through an official E-Signature document for your review and signature. Please be aware that we do not ask for any personal information in the process of extending offers of employment, such as financial details or social security numbers. Upon acceptance of any offer, we will request such information as part of the onboarding process prior to or on your first day of employment, and only after completing a background check through an authorized third-party vendor. If you receive any communication asking for personal details outside of these processes, please contact us immediately to verify the authenticity of the request. Your security is important to us, and we are committed to a safe and transparent hiring experience. For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Illumio will consider for employment qualified applicants with arrest and conviction records.

Your work days are brighter here. We're obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you'll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We're in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you'll do meaningful work with Workmates who've got your back. In return, we'll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you've found a match in Workday, and we hope to be a match for you too. About the Team The Enterprise Data & Analytics Team *Leads the development and execution of a comprehensive, global data strategy: This includes defining the organization's data vision, goals, and roadmap to ensure data is effectively collected, managed, and utilized across all business units and regions. *Provides strategic direction and oversight for all data-related functions: This encompasses platforms, analytics, data science, data governance, and analytics engineering, fostering collaboration and alignment across these domains. *Drives a data-driven culture across the organization: Champions the use of data for informed decision-making, promotes data community, and empowers employees to leverage data insights in their roles. *Ensures data quality, integrity, and security: Establishes and enforces data governance policies and standards to maintain high-quality data and protect sensitive information in compliance with regulations. *Oversees the development and implementation of advanced analytics and data science initiatives: Leads the exploration and application of cutting-edge techniques like machine learning and AI to generate business value and drive innovation. About the Role We are looking for a Data Engineering Intern who is passionate about solving exciting problems with research and collaborating with Data Engineers. You'll be working on platform tooling/capabilities or reusable frameworks which focus on efficiency, scalability, expandability, flexibility, all with the goal to help empower teams. This hands-on role focuses on implementing data platform vision, planning and carrying out the roadmap to enable platform capabilities. As a key player of the data platform team, our team will architect and craft the data platform to empower and implement data applications, including data ingestion framework, Data Observability, Data Quality, Anomaly detection, Data Lake/Data warehouse, business intelligence, APIs and reporting systems. The team will improve data platform performance and reliability, and opportunities to collaborate with industry standard innovative technology partners and authorities to improve efficiency through automation. Workday Internship Program Ready for your career to shine? At Workday, we believe that the next generation of talent is essential to our success, which is why we seek hard-working students with open minds, new perspectives and bright ideas to join our Intern & Co-Op Program. During the 12-week internship experience, you'll make an impact at Workday by engaging in meaningful work, all the while forging professional connections, and strengthening your skills in an encouraging environment. Plus, you'll be encouraged to bring your brightest self to work with coaching and mentorship, connection events and exposure to Workday's stellar culture while living our Core Values. Let's make work days brighter. Apply today to start your career as a member of the Workday Internship Program! #LI-DNI About You Basic Qualifications: Currently enrolled in a Bachelor's or Master's degree with an anticipated graduation date no earlier than December 2026 You can commit to a in-person full-time internship program for 12-weeks during the summer of 2026 and will return to university studies after the conclusion of the internship Currently pursuing a major in Computer Science, Information Systems, or similar engineering program Working knowledge in Python, SQL, Data Structures and Algorithms, Database Management Knowledge on any of these cloud platforms (AWS, Azure, GCP), preferred : AWS Knowledge of Object Oriented Programming Concepts Open-minded and flexible, with a can-do attitude Prior internship, coursework, or relevant project experience with working in date Other Qualifications: Familiarity with DEVOps/SecOps pipelines or CI/CD implementations Workday is proud of its diverse workforce but does not sponsor employment visas or consider individuals on time-limited visas that will require sponsorship now or in the future for these positions. Workday Pay Transparency Statement The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate's compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday's comprehensive benefits, please click here. Primary Location: USA.CA.Pleasanton Primary Location Base Pay Range: $47,500 USD - $154,500 USD Additional US Location(s) Base Pay Range: $40,100 USD - $154,500 USD Our Approach to Flexible Work With Flex Work, we're combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter. Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records. Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! At Workday, we value our candidates' privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

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 our innovative engineering team focused on building next-generation AI/ML solutions. You'll collaborate with skilled colleagues across platform, security, release engineering, and support teams to deliver high-impact products and ensure their perfect operation. **Your Impact** Dive into the development and implementation of cutting-edge generative AI applications using the latest large language models-think GPT-4, Claude, Llama, and beyond! Take on the challenge of optimizing neural networks for natural language processing and machine perception, drawing on a toolkit that includes convolutional and transformer-based models, student-teacher frameworks, distillation, and generative adversarial networks (GANs). Performance, scalability, and reliability are front and center as models are trained, fine-tuned, and put through their paces for real-world deployment. Collaboration is at the heart of this role-work alongside talented engineers and cross-functional teams to gather and prep data, design custom layers, and automate model deployment. Experimentation with new technologies and ongoing learning are always encouraged. Production-ready code, robust testing, and creative problem-solving all play a part in bringing innovative AI solutions to life. What an exciting place to grow and make an impact! **Minimum Qualifications** + Currently enrolled in an undergraduate degree program with 2 years of relevant experience, or currently enrolled in a graduate degree program with 0 years of relevant experience. Relevant fields include: Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related program. + Backend development skills in Go or Python, demonstrated through a technical assessment, coding challenge, or code sample. + Understanding of LLM infrastructure and optimization strategies, shown in a technical interview, assessment, or supporting documentation. + Practical experience with model building and AI or LLM tasks, evidenced by a portfolio, code samples, technical evaluation, or academic/research project documentation. **Preferred Qualifications** + Experience with inference engines such as vLLM, Triton, or TorchServe. + Knowledge of GPU architecture, optimization techniques, distributed systems, and asynchronous programming models. + Familiarity with agent frameworks and cloud-native platforms. + Experience with cybersecurity principles and Python programming, including common AI libraries. + Exposure to scalable computing environments and best practices for secure, efficient AI deployment. 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.

We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, gaming consoles, and robotic arms with their minds at the same speed and functionality level as able-bodied people can. Furthermore, the team is focused on restoring speech for mute individuals and enabling direct, natural silent communication with AI agents. In this role, you'll work with neuroscientists, physicians, software engineers, and electrical engineers to develop the next-generation human-ready Brain-Computer Interface (BCI). Job Description and Responsibilities: We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality of BCIs. You will play a critical role in developing machine learning solutions and driving the successful execution of projects to achieve mission critical goals. You'll work with cross-functional teams to design new BCI functionalities and novel computer user interfaces. Required Qualifications: Evidence in delivering high-impact projects either in academia or industry Prior experience designing and building Machine Learning models Deep understanding of machine learning concepts and fundamentals Experience in analyzing complex datasets, driving insights, and communicating results in a simple and clear way to both technical and non-technical stakeholders Excellent communication and collaboration skills Strong coding skills, with a focus on clean, efficient, and scalable code development Preferred Qualifications: Experience working with time series or unstructured data Expected Compensation: The anticipated hourly rate for this position is listed below. California Hourly Rate: $35/Hr USD What We Offer: Full-time employees are eligible for the following benefits listed below. An opportunity to change the world and work with some of the smartest and most talented experts from different fields Growth potential; we rapidly advance team members who have an outsized impact Excellent medical, dental, and vision insurance through a PPO plan Paid holidays Commuter benefits Meals provided Equity (RSUs) *Temporary Employees & Interns excluded 401(k) plan *Interns initially excluded until they work 1,000 hours Parental leave *Temporary Employees & Interns excluded Flexible time off *Temporary Employees & Interns excluded

About the Role We are seeking a Machine Learning Automation Engineer Intern to join our Data and Analytics team. This role is ideal for someone passionate about building automation pipelines, experimenting with generative AI models, and optimizing ML workflows from data ingestion to deployment. You will collaborate with data scientists, data engineers, and automation architects to build scalable, intelligent systems that power next-generation analytics and agentic AI solutions. Key Responsibilities * Design and implement automated pipelines for data preprocessing, model training, evaluation, and deployment. * Develop generative AI workflows (LLMs, diffusion models, transformers) for applied use cases such as synthetic data generation, RAG pipelines, and multimodal analysis. * Build and maintain CI/CD for ML systems, ensuring reproducibility and model governance. * Collaborate on feature engineering, hyperparameter tuning, and model validation using advanced statistical methods. * Integrate MLOps frameworks (e.g., MLflow, Azure ML, AWS SageMaker) into automation processes. * Prototype and evaluate new tools for AI-driven process automation and intelligent agent frameworks. * Document experiments, track metrics, and support version control of datasets and models. Required Skills & Qualifications * Strong programming skills in Python (mandatory); familiarity with libraries such as NumPy, pandas, scikit-learn, PyTorch, TensorFlow, and LangChain. * Working knowledge of generative AI (e.g., GPT, Llama, or similar LLMs). * Solid understanding of statistics, probability, and data analysis (hypothesis testing, regression, A/B testing, Bayesian methods). * Familiarity with automation frameworks (Airflow, Prefect, or similar) and version control (Git). * Familiarity with AI powered code editors / IDE (eg., Cursor, Replit, VS Code, or similar) * Working knowledge of API integration, prompt engineering, and vector databases (e.g., Pinecone, Qdrant, Weaviate). * Understanding of data pipelines, model monitoring, and evaluation metrics. * Excellent problem-solving skills and an eagerness to learn emerging AI technologies. Preferred Qualifications/Course Work * Coursework and project/prototype experience in Machine Learning, Deep Learning, or Generative AI. * Exposure to MLOps and DevOps tools (Docker, Kubernetes, CI/CD). * Familiarity with cloud platforms (Azure, AWS, or GCP). * Familiarity with data visualization (Matplotlib, Power BI). * Bachelor's degree in mathematics, data science, computer science, engineering, statistics or equivalent. .

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Our internship roles will be based in Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. We are looking for AI interns to work on our massive semi-structured text, graph and user activity data sets. Build highly scalable, highly performant social graph engines, state-of-the-art full-text search engines, and platforms for recommendation and applied data analytics. You will utilize data mining, information retrieval, and machine learning to perfect your strong systems orientation skills. Candidates must be currently enrolled in a master's degree program, with an expected graduation date of December 2026 or later. Our internships are 12 weeks in length and will have the option of two intern sessions: - May 26th, 2026 - August 14th, 2026 - June 15th, 2026 - September 4th, 2026 Responsibilities: - Work with BIG data, crunching millions of samples for statistical modeling, data mining, recommendation, or search relevance solutions. - Write production quality code and influence the next generation of LinkedIn's systems. Basic Qualifications: - Currently pursuing a M.S. in computer science, statistics, mathematics, electrical engineering, machine learning, or related technical field and returning to the program after the completion of the internship. - Hands-on experience with machine learning, data mining, or statistics. Preferred Qualifications: - Proficient programming skills within large scale projects or professional work experience - Experience or desire to learn Hadoop - Strong command of algorithms and data structures - Proficiency in clustering, collaborative filtering, and classification techniques (Naïve Bayes, SVM, NN, Boosting Methods, etc.) Suggested Skills: - Experience or research in Machine Learning and Deep Learning - Experience working with large data sets and data mining - Strategic thinking and problem-solving capabilities As part of the application process for this role, after an initial qualifications review, candidates are required to successfully complete the HackerRank online code challenge. Instructions for completion of the code challenge will be sent to you if your application is selected to move forward in the process. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $57 to $70. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** **Equal Opportunity Statement** We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: + Documents in alternate formats or read aloud to you + Having interviews in an accessible location + Being accompanied by a service dog + Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. **San Francisco Fair Chance Ordinance ** Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. **Pay Transparency Policy Statement ** As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** **Global Data Privacy Notice for Job Candidates ** Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

Onwards Together! Illumio is the leader in ransomware and breach containment, redefining how organizations contain cyberattacks and enable operational resilience. Powered by the Illumio AI Security Graph, our breach containment platform identifies and contains threats across hybrid multi-cloud environments - stopping the spread of attacks before they become disasters. Recognized as a Leader in the Forrester Wave™ for Microsegmentation, Illumio enables Zero Trust, strengthening cyber resilience for the infrastructure, systems, and organizations that keep the world running. This is a 12 week internship program beginning on May 26th 2026 or June 22nd 2026 Location: Onsite 5 day's a week at Headquarters in Sunnyvale, CA Our Team's Vision: We are looking for a motivated intern who is interested in backend, platform, or site reliability engineering (SRE). This internship will provide hands-on experience with cloud infrastructure, automation, and modern SRE tools. You will work alongside our Operations, Platform, and Engineering teams to help support the latest Illumio products and learn how large-scale, secure, and highly available systems are built and maintained. What You'll Do: Learn how to design and support scalable and reliable cloud infrastructure Assist engineers in monitoring, troubleshooting, and improving platform and application reliability Gain exposure to Kubernetes, Docker, and cloud-native technologies Help automate tasks and processes using scripting languages (Python, Go, or others) Work with engineers to strengthen security, compliance, and observability of systems Shadow engineers in incident management and root cause analysis Participate in team meetings and collaborate on projects to support ongoing initiatives. What You'll Bring: Currently enrolled in a full-time Bachelors degree program in Computer Science, Software Engineering, or a related field, with an expected graduation date in Winter 2026/Spring 2027 Familiarity with at least one programming or scripting language (Python, Java, Go, or similar) Knowledge in cloud technologies such as AWS, Azure, or GCP Basic understanding of Linux/Unix systems and networking concepts Curiosity about automation, Infrastructure as Code (eg. Terraform), and containerization (eg. Docker, Kubernetes) Eagerness to learn, ask questions, and contribute in a collaborative environment What You'll Gain: Hands-on experience facilitating SOC 2 Type 2, ISO/IEC 27001/27701, PCI DSS 4.0 assessments, and other compliance initiatives Exposure to GRC tools such as VisoTrust, Drata/Safebase, and Apptega Opportunities to identify, create, or improve key security and compliance processes or internal controls Collaboration with cross-functional teams including Legal, Sales, Cloud Operations, and Customer Success Mentorship from experienced professionals in GRC and cybersecurity A deeper understanding of how compliance frameworks support customer trust and business growth A supportive and inclusive environment that values transparency, accountability, and continuous learning Compensation: $ 37 USD Our Commitment: Illumio believes that an environment of unique backgrounds, experiences, viewpoints, and individual contributions drives our success and makes us stronger together. We are dedicated to creating and maintaining a diverse culture and emphasizing inclusion and belonging. #LI-PO #LI-ONSITE All official job offers from our company are extended directly by our recruitment team and will be sent through an official E-Signature document for your review and signature. Please be aware that we do not ask for any personal information in the process of extending offers of employment, such as financial details or social security numbers. Upon acceptance of any offer, we will request such information as part of the onboarding process prior to or on your first day of employment, and only after completing a background check through an authorized third-party vendor. If you receive any communication asking for personal details outside of these processes, please contact us immediately to verify the authenticity of the request. Your security is important to us, and we are committed to a safe and transparent hiring experience. For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Illumio will consider for employment 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 our innovative engineering team focused on building next-generation AI/ML solutions. You'll collaborate with skilled colleagues across platform, security, release engineering, and support teams to deliver high-impact products and ensure their flawless operation. Your Impact Dive into the development and implementation of innovative generative AI applications using the latest large language models-think GPT-4, Claude, Llama, and beyond! Take on the challenge of optimizing neural networks for natural language processing and machine perception, drawing on a toolkit that includes convolutional and transformer-based models, student-teacher frameworks, distillation, and generative adversarial networks (GANs). Performance, scalability, and reliability are front and center as models are trained, fine-tuned, and put through their paces for real-world deployment. Collaboration is at the heart of this role-work alongside talented engineers and cross-functional teams to gather and prep data, design custom layers, and automate model deployment. Experimentation with new technologies and ongoing learning are always encouraged. Production-ready code, robust testing, and creative problem-solving all play a part in bringing innovative AI solutions to life. What an exciting place to grow and make an impact! Minimum Qualifications * Currently enrolled in an undergraduate degree program in a relevant field, such as Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related discipline. * Previous experience with model building, AI/LLM development, and programming in Python, SQL, or Go, including the use of common AI libraries, in an academic, project, or professional capacity. * Able to legally live and work in the country for which you're applying, without visa support or sponsorship. Preferred Qualifications * Experience with cloud-native solutions, Docker container orchestration, or modern rapid deployment platforms. * Knowledge of data pipeline design, tools, and maintenance. * Exposure to AI security, cybersecurity, or AI validation techniques (e.g., Guardrail). * Familiarity with MCP/Agent workflows or supply chain processes. * Experience contributing to AI-focused platforms or open tools (e.g., AI Defense Open Tools Portal, AI-SPM), data science toolkits such as Pandas, NumPy, SciPy, or Scikit-learn, and an understanding of Natural Language Processing (NLP) concepts. 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.

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. Job Description Our internship roles will be based in Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. We are looking for AI interns to work on our massive semi-structured text, graph and user activity data sets. Build highly scalable, highly performant social graph engines, state-of-the-art full-text search engines, and platforms for recommendation and applied data analytics. You will utilize data mining, information retrieval, and machine learning to perfect your strong systems orientation skills. Candidates must be currently enrolled in a master's degree program, with an expected graduation date of December 2026 or later. Our internships are 12 weeks in length and will have the option of two intern sessions: * May 26th, 2026 - August 14th, 2026 * June 15th, 2026 - September 4th, 2026 Responsibilities: * Work with BIG data, crunching millions of samples for statistical modeling, data mining, recommendation, or search relevance solutions. * Write production quality code and influence the next generation of LinkedIn's systems. Qualifications Basic Qualifications: * Currently pursuing a M.S. in computer science, statistics, mathematics, electrical engineering, machine learning, or related technical field and returning to the program after the completion of the internship. * Hands-on experience with machine learning, data mining, or statistics. Preferred Qualifications: * Proficient programming skills within large scale projects or professional work experience * Experience or desire to learn Hadoop * Strong command of algorithms and data structures * Proficiency in clustering, collaborative filtering, and classification techniques (Naïve Bayes, SVM, NN, Boosting Methods, etc.) Suggested Skills: * Experience or research in Machine Learning and Deep Learning * Experience working with large data sets and data mining * Strategic thinking and problem-solving capabilities As part of the application process for this role, after an initial qualifications review, candidates are required to successfully complete the HackerRank online code challenge. Instructions for completion of the code challenge will be sent to you if your application is selected to move forward in the process. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $57 to $70. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: * Documents in alternate formats or read aloud to you * Having interviews in an accessible location * Being accompanied by a service dog * Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************

Onwards Together! Illumio is the leader in ransomware and breach containment, redefining how organizations contain cyberattacks and enable operational resilience. Powered by the Illumio AI Security Graph, our breach containment platform identifies and contains threats across hybrid multi-cloud environments - stopping the spread of attacks before they become disasters. Recognized as a Leader in the Forrester Wave™ for Microsegmentation, Illumio enables Zero Trust, strengthening cyber resilience for the infrastructure, systems, and organizations that keep the world running. This is a 12 week internship program beginning on May 26th 2026 or June 22nd 2026 Location: Onsite 5 day's a week at Headquarters in Sunnyvale, CA Our Team's Vision: We are looking for a motivated and passionate intern to join the core team responsible for building the Virtual Enforcement Node (VEN) - the agent software powering Illumio Core and Illumio Edge. This team is expanding its focus to include AI supportability, ensuring our AI-driven security features are reliable, observable, and easy to troubleshoot at scale. You'll work alongside a small, high-functioning team that empowers engineers to innovate and take ownership. We value autonomy, curiosity, and a bias toward action. What You'll Do: Collaborate with engineers to improve the supportability of AI-powered features within the VEN Build diagnostics, logging, and observability tools for AI components embedded in the agent Contribute to the design and implementation of system services in C++ and GoLang that interact with AI models and inference pipelines Help identify and resolve reliability issues in AI workflows running on customer workloads Participate in design reviews and contribute to postmortem analyses for AI-related incidents Learn from experienced engineers and have a direct impact on production systems What You'll Bring: Currently enrolled in a full-time Bachelor's degree program in Computer Science, Software Engineering, or a related technical field, with an expected graduation date in Winter 2026 or Spring 2027 Experience with C++ and GoLang Strong interest in Operating Systems, System Software Development, and AI/ML systems Understanding of networking concepts and distributed systems Bonus: Exposure to observability tools (e.g., Prometheus, OpenTelemetry) or AI frameworks (e.g., PyTorch, TensorFlow) What You'll Gain: Work on mission-critical software deployed globally Contribute to the supportability of cutting-edge AI features in cybersecurity Learn from a team that values mentorship, ownership, and technical excellence Work with teams across engineering, product, and support to understand the full lifecycle of AI-powered features Work on cutting-edge AI problems that actually ship to production Build a strong foundation in systems engineering, observability, and AI infrastructure - skills highly valued in both startups and large tech companies Compensation: $ 37 USD Our Commitment: Illumio believes that an environment of unique backgrounds, experiences, viewpoints, and individual contributions drives our success and makes us stronger together. We are dedicated to creating and maintaining a diverse culture and emphasizing inclusion and belonging. #LI-PO #LI-ONSITE All official job offers from our company are extended directly by our recruitment team and will be sent through an official E-Signature document for your review and signature. Please be aware that we do not ask for any personal information in the process of extending offers of employment, such as financial details or social security numbers. Upon acceptance of any offer, we will request such information as part of the onboarding process prior to or on your first day of employment, and only after completing a background check through an authorized third-party vendor. If you receive any communication asking for personal details outside of these processes, please contact us immediately to verify the authenticity of the request. Your security is important to us, and we are committed to a safe and transparent hiring experience. For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Illumio will consider for employment qualified applicants with arrest and conviction records.