Engineering internship jobs in San Francisco, CA - 1,167 jobs

MSS USA CORP, a U.S. subsidiary of MSSCORPS CO., LTD (publicly listed in Taiwan), provides Transmission Electron Microscopy (TEM) and advanced materials analysis services for the semiconductor industry. Our new Sunnyvale, CA facility is equipped with cutting-edge lab and facility systems supporting next-generation semiconductor R&D, failure analysis, and materials characterization. We are seeking a hands-on, detail-oriented Engineering Technician to support our engineering teams in daily lab operations, sample preparation, and general engineering tasks. This role is ideal for someone early in their technical career who is eager to learn directly from experienced engineers, build strong fundamentals in semiconductor analysis, and grow into specialized engineering teams over time. Role Overview As an Engineering Technician, you will work closely with engineers to support lab operations. Your responsibilities will include sample preparation, tool support, documentation, and general engineering assistance, with increasing responsibility as your skills develop. This position offers a clear learning path and career progression into advanced engineering roles within MSS USA CORP. Key Responsibilities Support engineering teams with sample preparation for electron microscopy and materials analysis Assist with daily operation, setup, and basic maintenance of lab tools and equipment Perform general engineering and laboratory tasks, including tool checks, material handling, and data organization Follow standard operating procedures (SOPs) Maintain a clean, organized, and safe lab environment Qualifications Required High school diploma, GED, or equivalent Willingness to learn hands-on lab and engineering skills Basic computer proficiency (Microsoft Office, documentation tools) Preferred AA, AS, or AAS in electronics, mechanical engineering, materials science, or a related field Exposure to semiconductor manufacturing, materials science, or laboratory environments Experience with sample preparation, microscopy labs, or cleanroom work Basic mechanical, electrical, or instrumentation experience Ability to read and follow technical manuals or SOPs Career Growth & Development This role is designed as a development position. As you gain experience, you will have opportunities to: • Develop deeper expertise in TEM, FIB, and semiconductor failure analysis • Take on greater ownership of tools, workflows, and projects Why Join MSS USA? Work in a cutting-edge semiconductor analysis lab Learn directly from experienced engineers and scientists Clear growth path in a technically rich environment If you're eager to learn, grow, and build a long-term career alongside experienced engineers in a cutting-edge semiconductor lab, we'd love to hear from you.

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond. About the role: If you have a strong foundation in math, theory, and software development and you are interested in helping develop Skydio's robotically launched and caught fixed wing (F10), we would love to hear from you. You will be paired up with one or more members of our core team and take ownership of a core project to bring the F10 from prototype to product. How you'll make an impact: * Enable rapid research and development of intelligent systems with advanced autonomous capabilities beyond anything that exists in the world today * Research, prototype, and generally assess the feasibility of new approaches * Imagine and then implement new features that unlock magic for our users * Characterize and quantify the performance of core components of the software and hardware stack What makes you a good fit: * Demonstrated enthusiasm for one or more of the following: motion planning, dynamics and controls, 3D graphics, computer vision, deep learning, distributed systems, tools/infrastructure, mobile * Solid software engineering foundation and a commitment to writing clean, well-architected code * High proficiency in C++ and Python * Ability to thrive in a fast-paced, collaborative, small team environment Compensation Range: The hourly rate for this position is $47/hr for Undergrad, $53/hr for Graduate students, and $58 for PhD students*. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. * For some positions the pay may be dependent upon the individual's regional location. #LI-AY1 At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit *************************

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. 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.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. We're looking for inquisitive, collaborative UX Engineer interns to bridge design and front‑end engineering. Partnering with mentors across product, design, data, and engineering, you'll prototype and validate ideas, contribute to our design system, and translate research into polished, performant interfaces. Expect real projects, supportive teammates, and opportunities to ship experiences that are accessible, delightful, and meaningful for our Pinners. What you'll do: Take ownership over the completion and quality of your tasks and project while incorporating guidance from your mentor, manager, and peers Execute scoped technical tasks end-to-end to help build the future of Pinterest Deliver code that is well-documented, tested, and operable Bridge design and engineering teams Communicate new ideas and opinions with candor as you grow both professionally and personally through learning and development opportunities What we're looking for: This position requires current enrollment in a school or education program in which the individual is working towards a Master's in statistics, psychology, sociology, applied sciences, computer science or related field Obtain Master's in computer science, statistics, psychology, sociology, applied sciences or related field by 2027 Previous Software Engineering internships Passion for solving user-experience problems / upleveling the quality of the Pinner experience Proficiency in a dynamic programming language such as JavaScript, CSS, C++, HTML, Python, Java, Go-we use a variety of programming languages and tools Ability to continually learn from your experiences We offer 2 internship start dates: May 18, 2026 - August 7, 2026 June 15, 2026 - September 4, 2026 In-Office Requirement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration [1-2 times per week] and therefore needs to be in a commutable distance from one of the following offices [San Francisco]. Relocation Statement: This position may be eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only The minimum and maximum salary for this position is $8,250 - $11,000 monthly. #LI-FILS #LI-HYBRID Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

We are looking for ambitious achievers to join our 2026 Kickstart Internship Program in San Francisco, CA! Your work will support project teams providing solutions for water resources, water quality, wastewater and water treatment, and recycled water planning and implementation issues that our water environment, transportation, and industrial sector clients are facing. You will have opportunities to get involved in significant projects throughout the United States. These projects may involve field work, technical report preparation and calculations, pre-construction conditions documentation, design plans and specifications. What we can offer you Meaningful Projects and Work Mentorship Professional Development Networking and Collaboration A Day in the Life of an Intern: Working on a variety of projects which allow you to apply skills and calculations that you have learned in school Managing ongoing projects and communicating with other team members and clients Attending and contributing to client meetings Visiting project sites Receiving mentorship and advising Networking with employees and clients Qualifications: Currently pursuing an undergraduate or graduate degree in: Civil Engineering Environmental Engineering Chemical Engineering Related Engineering field Completion of a minimum of junior (third-year) standing in an accredited engineering program Kennedy Jenks supports a healthy work-life balance and utilizes a hybrid model of home and office work, with a minimum of two days per week in the office. This approach empowers our people to thrive, collaborate, and achieve their full potential. Pay rate for this position is anticipated to be $20 to $25 per hour, and may vary based upon education, experience, qualifications, skills, licensure/certifications, seniority, geographic location, and performance. Intern Benefits Summary: As a Kickstart intern, you'll enjoy the benefits package designed to support you during your experience. Choose between quality medical coverage or a $150 monthly stipend if you have other coverage, plus receive $15 per month toward your cell phone costs. You'll also have the opportunity to participate in our 401(k) plan and accrue paid sick time throughout the program, ensuring that your well-being and future are always a priority. #LI-hybrid

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

Job DescriptionDescription 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. 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. 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. 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. 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? ..

Title: Internship- Environmental Engineering Job Type: Intern What's the Opportunity? Anchor QEA is seeking an engineering intern for the 2025/2026 Winter. We will require interns to potentially perform fieldwork, depending on project needs. Interns will experience a combination of hands-on fieldwork and a defined project within their scope of study, as well as the opportunity for exposure to other service areas within our firm. There will be opportunities to work with senior- and principal-level professionals, assisting with project-related tasks and gaining insight into the world of professional consulting. Interns will have a solid understanding of environmental consulting at the conclusion of the program. Responsibilities: Deliver a defined capstone project with assistance from senior engineers, scientists, planners, and other professionals. To support this goal, interns may be asked to: Support implementation of remedial investigations/feasibility studies and design evaluations Conduct research and analysis around prospective clients, trends, strategies, industries, activation needs, etc. Assist with field planning, data analysis, and report writing Assist with research and data entry for new business initiatives Partner to complete field sampling activities in-water and/or on land, project field documentation and supporting preparation of figures and tables for project deliverables Conduct field activities, including collection of sediment, soil, water, air, waste, or biota samples or other field tasks Complete OSHA HAZWOPER training as required Update documents, calendars, schedules, weekly statuses, etc. What Are We Looking For? Ideal candidates will have the following: Current undergraduate or graduate students majoring in a field related to one of our areas of expertise: Engineering (coastal, geotechnical, environmental, civil, etc.) Proficiency in Microsoft Word and Excel Excellent verbal and written communication skills Ability to interpret and apply technical information Excellent organizational skills Project management mindset to effectively manage priorities and meet deadlines Desire to work collaboratively with others to accomplish goals Balance of a professional attitude while having fun What Can You Expect? A collaborative work environment where we encourage everyone to bring their authentic self. We offer competitive compensation and benefits. Who Are We? Anchor QEA provides environmental planning, science, and engineering consulting services with the mission of transforming our environment and communities with integrity and vibe. With more than 500 people in offices across the United States, our collective vision is to be an inclusive, sustainable, and growing environmental innovator making generational impacts. By embodying our core values, we strive to be our clients' first choice for solving their most challenging problems and to be our employees' reason to be excited about going to work each morning. Learn more about Anchor QEA at ****************** How to Apply? Apply online through Anchor QEA's Open Positions page at ********************************************************** Veterans are encouraged to apply. Applicants with a disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to ************************* Additional Information We work hard to embrace diversity and inclusion. As an equal opportunity employer, Anchor QEA is committed to a diverse, multi-cultural work environment. Anchor QEA does not discriminate in employment based on age, race, creed, gender, religion, marital status, veteran's status, national origin, disability or sexual orientation. Employment is contingent upon satisfactory results of a comprehensive background check. Salary Salary Range: $22 per hour

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. 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 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 ************************************* . **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: ********************************************

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us! Role Summary We are seeking highly motivated, newly graduated or soon-to-graduate MS or Ph.D. students in Computer Science, Machine Learning, Data Science, or related fields to join us as AI / ML Engineering Interns. This internship is ideal for candidates who are eager to learn how large-scale AI systems are built and deployed in production. You will work closely with experienced engineers and data scientists to help build the Intelligence Layer and Data Consortium that power DataVisor's real-time fraud detection platform. This internship focuses on distributed systems, data pipelines, machine learning infrastructure, and applied AI, including exposure to agentic flows and large language models (LLMs). What You'll Do Data Engineering & Pipelines Assist in building and maintaining high-throughput data pipelines using technologies such as Spark, Kafka, or Flink Help process and aggregate real-time signals (e.g., device fingerprints, behavioral data) into shared intelligence systems Distributed Systems & Scalability Learn to design and optimize backend systems that support large-scale, real-time decisioning Contribute to improving system performance, reliability, and latency under high transaction volumes AI Applications & Agentic Flows Support the development of AI applications and agentic workflows using state-of-the-art LLMs (e.g., OpenAI, Anthropic, Google) Experiment with natural language interfaces, intelligent rule suggestions, and automated strategy generation Machine Learning Pipelines Help deploy and monitor pipelines for unsupervised and supervised ML models Assist with integrating models into real-time scoring APIs and decision engines Privacy & Security Learn best practices for privacy-first system design, including tokenization and hashing to protect sensitive data Cross-Functional Collaboration Work alongside Data Science, Product, and Engineering teams to test ideas, validate models, and ship production features Requirements Recently graduated or currently completing an MS or Ph.D. in Computer Science, Machine Learning, AI, Data Science, or a related field Passionate about learning how real-world AI systems are built at scale Comfortable working with complex technical problems and eager to grow through mentorship Strong programming skills in Python Familiarity with at least one of the following: distributed systems, machine learning, data engineering, or backend development Academic or project experience with big data frameworks (Spark, Kafka, Flink) is a plus Understanding of core ML concepts (supervised / unsupervised learning) Preferred (Nice-to-Have) Coursework or project experience with: LLMs, RAG architectures, LangChain, or vector databases Cloud platforms (AWS) and containers (Docker) Stream processing or real-time systems Interest in fraud, risk, or security domains (not required) Benefits Hands-on experience working on production-scale AI systems Mentorship from senior engineers and data scientists Exposure to cutting-edge agentic AI and LLM applications Opportunity for full-time conversion based on performance and business needs Comp Range, $25 - $70/hour

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 days 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 Your Tool Kit: 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 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.

Our diverse and inclusive workforce of more than 7,000 employees play a key role in the success of San José, the heart of the Silicon Valley. All City of San José employees work together as one team to make San José a vibrant, innovative, and desirable place to live and work.Visithere to learn more about our One Team Leadership Values and Expectations, including quality and excellent customer service and hereto learn more about San José. The City of San José is an equal opportunity employer. Applicants for all job openings will be considered without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, veteran statusor any other consideration made unlawful under any federal, state or local laws. The City of San José is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at ************, 711 (TTY), or via email at *************************. About the Department The Environmental Services Department (ESD)is a national leader in pollution prevention, watershed protection, utility service provision, and climate action. Together, ESD employees positively impact every resident and business in San Jose. Our department is an exceptional place to start or grow your career. We have a supportive leadership team, numerous professional growth opportunities, and an inclusive workplace culture that is welcoming of your talents! To learn more about ESD, follow @sjenvironment on X (formally Twitter),Facebook, Instagram, and San Jose Environmental Services on LinkedIn. Position Duties About the Multi-Discipline Engineering Internship The Environmental Services Department is currently seeking to fill two (2) part-time unbenefited Undergraduate/Graduate Student Intern positions. Student Interns of the Multi-Discipline Engineering Internship will rotate within five key engineering groups across the Environmental Services Department. Interns will rotate into each of these five engineering groups approximately every six weeks. These rotations will include travel to three distinct work locations which include San José City Hall, the San José-Santa Clara Regional Wastewater Facility (RWF), and San José Municipal Water System (Muni Water). At the conclusion of the internship, interns will have job shadowed in each of the five groups. The key engineering groups are located withing the following sections: Capital Improvement Program (CIP) Division The Capital Improvement Program (CIP) division is leading one of the largest public works programs in San José's history! The division is responsible for delivering a 10-year capital improvement program estimated at $1.4 billion and assuring the future of wastewater treatment services for 1.7 million residents and 17,000 businesses. The CIP division performs the overall planning and project delivery for all aspects of the RWF treatment process, including program administration and budget planning. The division is also supported by a co-located team of consultant staff and staff from the Department of Public Works, who provide program management and construction management services. * Responsibilities while working in CIP include but are not limited to: Supporting engineering staff on current projects in various phases of work, including feasibility, design, bid, and construction; attending project and staff meetings; attending design workshops; participating in construction site visits; assisting staff to manage facility-wide studies; and assisting staff in the areas of program management and controls. Operations & Maintenance (O&M) The Wastewater Management Operations and Maintenance (O&M) Engineering section works side-by-side with three divisions of wastewater management at the RWF - Plant Operations, Facility Maintenance, and Energy & Automation. The division is staffed by 226 full-time employees that includes operators, mechanics, various wastewater superintendents and supervisors, engineers, technicians, analysts, staff specialists, and other support staff. In addition, these groups are supported by various consultants. This section is responsible for managing various O&M repair/replacement projects, providing engineering support to the RWF, maintaining document management systems and record drawings, and providing leadership for the Asset Management system. * Responsibilities while working in O&M include but are not limited to: * Assisting with equipment tags, field verification, and creating missing tag lists. * Assisting with uploading O&M manuals, equipment warranty documents, SOPs, and training related documents from CIP Final Submittals to WMDocs. * Assisting with the review of preventive maintenance schedules from O&M manuals and creating PM schedule lists. * Assisting with O&M Online Manual upgrades. * Assisting with O&M Engineering projects. * Other miscellaneous tasks as assigned. Pretreatment Program - Watershed Protection (WSP) Division The Pretreatment Program consists of the Source Control and Environmental Engineering sections and is responsible for implementing the federal- and state-mandated pretreatment program for industrial discharges to the San José-Santa Clara Regional Wastewater Facility. The program is required by the Facility's NPDES permit and is aimed at ensuring that certain dischargers have adequate treatment prior to the discharge of industrial wastewater to the sanitary sewer to protect water quality and the integrity of the wastewater collection and treatment systems. On an annual basis, the Pretreatment Program inspects approximately 350 businesses, collects more than 1,900 water quality samples, and reviews more than 900 self-monitoring reports. This group also permits and conducts inspections of newly regulated facilities such as dental offices. * Responsibilities while working in the Pretreatment Program include but are not limited to: Assisting Sanitary Engineers in evaluating industrial and commercial facilities for compliance with federal, state, and local pretreatment requirements; writing and issuing Industrial Wastewater Discharge Permits; conducting plan check reviews of industrial and commercial facilities, and performing specialized environmental engineering studies in support of the Pretreatment Program, the Watershed Enforcement Program, and the Regional Wastewater Facility. Municipal Water System (Muni Water) & South Bay Water Recycling (SBWR) Muni Water The Municipal Water System section is responsible for system operation and maintenance engineering support, and design and construction of the Municipal Water System pipeline and facilities. This includes managing the water quality programs, and supporting the conservation program, providing development related support services, ensuring availability of water supply, capital improvements, construction inspection, and engineering support to operations and maintenance. SBWR South Bay Water Recycling (SBWR) is a recycled water wholesaler to four retailers: San Jose Water Company, San José Municipal Water, City of Santa Clara, and City of Milpitas. Customers buy recycled water from the retailer in their location. SBWR is the regional permit holder for recycled water in San José, Santa Clara and Milpitas, ensuring compliance with State regulations for recycled water quality and use and is a leader in recycled water in Northern California. SBWR's recycled water system consists of over 150 miles of pipeline, five pump stations, and 10 million gallons of storage in reservoirs. SBWR delivers more than four billion gallons of recycled water per year to more than 960 commercial customers, an average of 11 million gallons a day. * Responsibilities while working in Muni Water & SBWR include but are not limited to: Supporting engineering and operations staff through research, data collection, and technical analyses for ongoing projects. Responsibilities will include conducting field visits and site inspections to observe construction and operations/maintenance activities, as well as participating in staff meetings, taking notes, and providing follow-up as needed. Additional assignments may be given to further assist the engineering and compliance team. Duration of Assignment Approximately 8 months Salary Information Salary ranges for this classification are: * Undergraduate Student Intern:$15.86 - $22.65 hourly * Graduate Student Intern: $20.52 - $30.30 hourly These salary ranges include an approximate five percent (5%) ongoing non-pensionable compensation. Actual salary shall be determined by the final candidates' qualifications and experience. Minimum Qualifications Education: * Undergraduate: Current enrollment in an accredited college or university in an undergraduate program. Must be enrolled throughout the duration of the internship. * Graduate: Completion of a bachelor's degree and current enrollment in a master's degree program from an accredited college or university. Must be enrolled throughout the duration of the internship. Experience: None. Licenses & Certificates: Possession of a valid driver's license authorizing the operation of a motor vehicle in the State of California. Other Qualifications The ideal candidate will possess the following competencies, as demonstrated in past and current employment history.Desirable competencies for this position include: Communication Skills -Effectively conveys information and expresses thoughts and facts clearly, orally and in writing; demonstrates effective use of listening skills; displays openness to other people's ideas and thoughts. Job Expertise -Demonstrates knowledge of and experience with applicable professional/technical principles and practices, Citywide and departmental procedures/policies and federal and state rules and regulations. Multi-Tasking -Can handle multiple projects and responsibilities simultaneously; has handled a wide variety of assignments in past and/or current position(s). Problem Solving - Approaches a situation or problem by defining the problem or issue; determines the significance of problem; collects information; uses logic and intuition to arrive at decisions or solutions to problems that achieve the desired outcome. Reliability- Completes quality work assignments in a timely and efficient manner; fulfills responsibilities and maintains confidentiality as appropriate. Teamwork & Interpersonal Skills -Develops effective relationships with co-workers and supervisors by helping others accomplish tasks and using collaboration and conflict resolution skills. Selection Process: The selection process will consist of an evaluation of the applicant's training and experience based on the application and responses to all the job specific questions. You must answer all questions to be considered, or your application may be deemed incomplete and withheld from further consideration. Applicants are expected to write their own essays/responses. Please be advised that use of AI content in your responses may result in your removal from the hiring process. Only those candidates whose backgrounds best match the position will be invited to proceed in the selection process. Additional phases of the selection process will consist of one or more interviews. If you have questions about the duties of these positions, the selection or hiring processes, please contact Norma Lopez Sanchez at ********************************. Additional Information: Employment Eligibility: Federal law requires all employees to provide verification of their eligibility to work in this country. Please be informed that the City of San Jose will NOT sponsor, represent or sign any documents related to visa applications/transfers for H1-B or any other type of visa which requires an employer application. You must answer all job-specific questions to be considered for this vacancy or your application will be deemed incomplete and withheld from further consideration. Applicants are expected to write their own essays/responses. Please note that applications are currently not acceptedthrough CalOpps or any other third party job board application system. This recruitment may be used to fill multiple positions in this, or other divisions or departments. If you are interested in employment in this classification, you should apply to ensure you are considered for additional opportunities that may utilize the applicants from this recruitment. Please allow adequate time to complete the application and submit before the deadline or the system may not save your application. If your online application was successfully submitted, you will receive an automatic confirmation email to the email address you provided. IF YOU DO NOT RECEIVE THE CONFIRMATION, please email ************************* and we will research the status of your application. AI and the Hiring Process We recognize that Artificial Intelligence (AI) is becoming part of daily life and can be avaluable tool for learning, research, and professional growth. We encouragecandidates to use AI responsibly as a support in preparing application materials, liveassessments, and interviews. However,we value authenticity, accuracy and truthfulness.Application responses and interview answers must reflect your ownknowledge, skills, and experiences. While AI can supplement preparation, it cannotreplace the originality and judgment we look for in our employees. This ensuresfairness,transparency, and equityfor all applicants in the hiring process.

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.

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond. About the role: The core of our system is the computer vision algorithms that allow drones to understand the world around them. You will architect and implement the algorithms that run on every drone powered by Skydio as part of a world class computer vision and deep learning team with researchers who have pushed the state of the art in academia and industry. We are looking for interns for our Summer program. As a Research Intern, you will be paired up with one or more members of our core software development team, assuming direct ownership of a project that meaningfully advances the capabilities of our team and products. If you have a strong foundation in math, theory, and software development and you are interested in directly contributing to the development of the next generation of autonomy algorithms and pushing them into real products, we would love to hear from you. How you'll make an impact: * Enable rapid research and development of intelligent systems with advanced autonomous capabilities beyond anything that exists in the world today * Research, prototype, and generally assess the feasibility of new approaches * Imagine and then implement new features that unlock magic for our users * Characterize and quantify the performance of core components of the software and hardware stack What makes you a strong fit: * High proficiency in C++ and/or Python and PyTorch * Demonstrated enthusiasm for one or more of the following: computer vision, deep learning, motion planning, dynamics and controls, 3D graphics, distributed systems, and tools/infrastructure * Solid software engineering foundation and a commitment to writing clean, well-architected code * Ability to thrive in a fast-paced, collaborative, small team environment Compensation Range: The annual base salary range for this position is $47/hr for Undergrad and $53/hr for Graduate students* Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Skydio full-time employees are eligible to enroll in our benefit plans and take advantage of a variety of incentives and stipends. * For some positions the pay may be dependent upon the individual's regional location. #LI-AY1 At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit *************************

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 [email protected] 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: ********************************************

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us! Role Summary We are seeking highly motivated, newly graduated or soon-to-graduate MS or Ph.D. students in Computer Science, Machine Learning, Data Science, or related fields to join us as AI / ML Engineering Interns. This internship is ideal for candidates who are eager to learn how large-scale AI systems are built and deployed in production. You will work closely with experienced engineers and data scientists to help build the Intelligence Layer and Data Consortium that power DataVisor's real-time fraud detection platform. This internship focuses on distributed systems, data pipelines, machine learning infrastructure, and applied AI, including exposure to agentic flows and large language models (LLMs). What You'll Do * Data Engineering & Pipelines * Assist in building and maintaining high-throughput data pipelines using technologies such as Spark, Kafka, or Flink * Help process and aggregate real-time signals (e.g., device fingerprints, behavioral data) into shared intelligence systems * Distributed Systems & Scalability * Learn to design and optimize backend systems that support large-scale, real-time decisioning * Contribute to improving system performance, reliability, and latency under high transaction volumes * AI Applications & Agentic Flows * Support the development of AI applications and agentic workflows using state-of-the-art LLMs (e.g., OpenAI, Anthropic, Google) * Experiment with natural language interfaces, intelligent rule suggestions, and automated strategy generation * Machine Learning Pipelines * Help deploy and monitor pipelines for unsupervised and supervised ML models * Assist with integrating models into real-time scoring APIs and decision engines * Privacy & Security * Learn best practices for privacy-first system design, including tokenization and hashing to protect sensitive data * Cross-Functional Collaboration * Work alongside Data Science, Product, and Engineering teams to test ideas, validate models, and ship production features * Recently graduated or currently completing an MS or Ph.D. in Computer Science, Machine Learning, AI, Data Science, or a related field * Passionate about learning how real-world AI systems are built at scale * Comfortable working with complex technical problems and eager to grow through mentorship * Strong programming skills in Python * Familiarity with at least one of the following: distributed systems, machine learning, data engineering, or backend development * Academic or project experience with big data frameworks (Spark, Kafka, Flink) is a plus * Understanding of core ML concepts (supervised / unsupervised learning) Preferred (Nice-to-Have) * Coursework or project experience with: * LLMs, RAG architectures, LangChain, or vector databases * Cloud platforms (AWS) and containers (Docker) * Stream processing or real-time systems * Interest in fraud, risk, or security domains (not required) * Hands-on experience working on production-scale AI systems * Mentorship from senior engineers and data scientists * Exposure to cutting-edge agentic AI and LLM applications * Opportunity for full-time conversion based on performance and business needs * Comp Range, $25 - $70/hour

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 days 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. Your Tool Kit: 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 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.

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 [email protected] 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: ********************************************