Engineering internship jobs in San Ramon, CA

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

Helping an on-demand, autonomous ride-hailing company find Engineering Technicians to support operations and ensure the smooth flow of materials across product development and manufacturing. In this role, you'll work with a motivated, high-energy team to ensure timely project completion within the engineering lab. You'll support cross-functional teams developing next-generation products where success is measured by quality, precision, and adherence to schedule. The ideal candidate is enthusiastic, innovative, and self-motivated, with a strong commitment to craftsmanship and continuous improvement. You're comfortable working independently on routine tasks, following detailed processes, and maintaining a high standard of work with minimal supervision. As an Engineering Technician, you'll: Assist engineers during new product development to optimize manufacturing processes. Support engineers in developing solutions and alternative assembly techniques to resolve technical issues. Accurately assemble and test a range of electronic hardware, from engineering prototypes through short-run production. Act as a quality delegate by inspecting work from other technicians in the engineering lab. Perform final product testing in accordance with written procedures. Maintain a clean, organized, and safe work area. Communicate clearly and effectively to ensure accurate and complete information sharing. Demonstrate reliability through consistent attendance and punctuality. Roles and Responsibilities: Must be able to follow directions while closely adhering to process detail for each assignment. Assist engineers during the development of new products to optimize the manufacturing process. Assist Engineers in the development of solutions and alternative assembly techniques to resolve issues. Accurately assemble and test a variety of electronic hardware from engineering prototypes through short run production. Perform as a Quality Delegate, inspecting work from other technicians in the Engineering Lab Carry out assignments in a safe and efficient manner. Be informative and communicate in a way that is complete, accurate and clear. Maintain a consistent track-record of attendance and prompt arrival at work. Perform final product testing in accordance with written procedures. Ensure your work area and equipment is kept neat, clean, and well organized. Required Skills: Bachelor's Degree with 4 to 6 years' experience in electro-mechanical assembly. Technical training, such as soldering, trade school, or OJT classes (preferred). Ability to read technical documents and drawings. Working knowledge of Google Suit including Docs, Sheets, and Slides, experience using a computer for entering data, and using the internet Ability to communicate effectively in English Proficient using standard assembly tools: cutters, crimpers, soldering irons, pin insertion/removal tools, and torque tools Hands-on lab experience such as soldering, power supplies, signal generators, oscilloscopes. Proficient verbal and written English language skills and prior experience working with product development teams in a low volume manufacturing setting. IPC-610, IPC-620, or JSTD-10

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. Meet the Team Join our innovative engineering team focused on building next-generation AI/ML solutions. You'll collaborate with skilled colleagues across platform, security, release engineering, and support teams to deliver high-impact products and ensure their perfect operation. Your Impact Dive into the development and implementation of cutting-edge generative AI applications using the latest large language models-think GPT-4, Claude, Llama, and beyond! Take on the challenge of optimizing neural networks for natural language processing and machine perception, drawing on a toolkit that includes convolutional and transformer-based models, student-teacher frameworks, distillation, and generative adversarial networks (GANs). Performance, scalability, and reliability are front and center as models are trained, fine-tuned, and put through their paces for real-world deployment. Collaboration is at the heart of this role-work alongside talented engineers and cross-functional teams to gather and prep data, design custom layers, and automate model deployment. Experimentation with new technologies and ongoing learning are always encouraged. Production-ready code, robust testing, and creative problem-solving all play a part in bringing innovative AI solutions to life. What an exciting place to grow and make an impact! Minimum Qualifications * Currently enrolled in an undergraduate degree program with 2 years of relevant experience, or currently enrolled in a graduate degree program with 0 years of relevant experience. Relevant fields include: Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related program. * Backend development skills in Go or Python, demonstrated through a technical assessment, coding challenge, or code sample. * Understanding of LLM infrastructure and optimization strategies, shown in a technical interview, assessment, or supporting documentation. * Practical experience with model building and AI or LLM tasks, evidenced by a portfolio, code samples, technical evaluation, or academic/research project documentation. Preferred Qualifications * Experience with inference engines such as vLLM, Triton, or TorchServe. * Knowledge of GPU architecture, optimization techniques, distributed systems, and asynchronous programming models. * Familiarity with agent frameworks and cloud-native platforms. * Experience with cybersecurity principles and Python programming, including common AI libraries. * Exposure to scalable computing environments and best practices for secure, efficient AI deployment. ProductIntern26 Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

The San Francisco Municipal Transportation Agency (SFMTA) connects San Franciscans with their communities to enhance the economy, environment and, ultimately, the quality of life in the city. As an agency within the City and County of San Francisco, the SFMTA is responsible for managing the city's transportation network. The agency has more than 6,000 employees who are responsible for the management of all ground and some underground transportation in the city. The SFMTA has oversight over public transit, as well as bicycling, paratransit, parking and curb management, street operations, walking, and taxis. Please visit the “About Us” section of our website at ********************************* to learn more about the department's core values, Racial Equity Initiative, leadership team, history, budget and more. Job Description Recruitment ID: TEX-5381-161860 Appointment Type: Temporary Exempt, Full Time appointment - This position is excluded by the Charter from the competitive Civil Service examination process and shall serve at the discretion of the Appointing Officer. Application Opening: November 20, 2025 Application Filling Deadline: January 16, 2026 Annual Salary: $39.3875 Per Hour Position Description: The Engineering Level 2 Internship is within the SFMTA Planning and Engineering Internship Program. There are 4 total internship postings: 2 for Planning and 2 for Engineering, each posting with a unique set of multiple positions. Applicants will only be considered for the positions associated with the internship posting(s) they apply for. Therefore, if you meet the minimum qualifications for multiple internship postings and would like to be considered for multiple sets of positions, you must apply to each posting separately. Read this job ad in its entirety before applying. This job ad contains important information on timeline and terms of applying, including transcript, resume and cover letter requirements. If after reading you have additional questions about the application process, please contact *********************. Filing Deadline: January 16, 2026 Invitations to interview will be sent tentatively between February 9 - 13, 2026 Interviews will be conducted tentatively between February 23 - March 6, 2026 Selected candidates will be notified tentatively between March 16 - 30, 2026 The internship program offers seminars and field trips for interns to learn about various parts of the Agency. Attendance is mandatory at these events. Interns will also participate in PechaKucha presentations at the end of the summer. Work Schedule: We work in a hybrid and traditional environment, and you may be expected to work onsite in the office up to 5 days per week. In-office workdays are determined by the nature of the work and scheduled by your supervisor. Per the City's Telecommuting Policy, interns must be based in the Bay Area for the extent of their internship. The internship follows a 40-hour work-week, generally between the hours of 8 AM and 5 PM, Monday to Friday. Work outside these hours may be required for fieldwork, outreach events, etc. Interns may be eligible for a flexible work schedule, subject to supervisor and division approval. Interns may work up to 1,040 hours in a fiscal year. Most intern positions will terminate at the end of summer; depending on the nature of the work, some positions may be eligible to continue into the school year, subject to supervisor and division approval. Intern positions may be available in the following Divisions and Sections: Streets Division: Engineering interns within the Streets Division are responsible for developing design alternatives for transportation projects; performing field visits; preparing traffic control device work orders; drafting in AutoCAD; preparing striping drawings for official records; estimating project costs for traffic striping, signage, signal, and civil work scope; analyzing signal timing; reviewing construction work zones and site plans; supporting public outreach; and preparing legislation. Responsibilities will vary depending on the team. Engineering teams within the Streets Division include: Livable Streets Transportation Engineering Capital Programs & Construction Transit Division: Engineering interns within the Transit Division are responsible for supporting the evaluation of the E-bus pilot program, participating in design review, project planning and engineering maintenance support for electrical distribution utility or being a part of the team that supports the Cable Car systems, storage tank systems, elevator/escalator systems and a variety of other transportation infrastructure. The specific responsibilities will vary depending on the team assigned. Engineering teams within the Transit Division include: Program Delivery and Support - Fleet Engineering Maintenance of Way - Mechanical Systems Program Maintenance of Way - Traction Power Group Maintenance of Way - Maintenance Engineering Qualifications Minimum Qualifications: Education: At the time of submitting application, you must be enrolled in an accredited university or a community college pursuing a degree in one of the following fields: Civil Engineering, Traffic Engineering, or Transportation Engineering. OR Possess a baccalaureate degree or graduate degree in one of the above fields from an accredited university or community college AND be enrolled in an accredited university or a community college pursuing a degree in a related field. You must be currently enrolled and continuing in an associate, undergraduate or graduate program or entering/continuing a graduate program in the Fall 2026 Students enrolled in second-to-last or last semester and will soon graduate are also encouraged to apply as you may still be selected for the program within six months of graduation. Experience: No previous experience is necessary for individuals pursuing a master's degree or higher in a qualifying field. For undergraduate candidates, prior engineering or relevant internship experience is required to compete for positions at the 5381 level. Notes: 1. Applicants must meet the minimum qualifications by the final filing date unless otherwise noted. Desirable Qualifications: The stated desirable qualifications may be used to identify candidates advancing to the interview process and/or to identify job finalist(s) at the end of the selection process when referred for hiring. Interest in public-sector careers in transportation, especially public transit, walking, and bicycling. Understanding of the impact of transportation decisions on marginalized communities, including people of color, people with low-incomes, and people with disabilities. Experience working with marginalized communities. Demonstrated ability to work collaboratively, including, but not limited to, examples drawn from: school, work, community activities, extracurricular activities, team sports and/or volunteering experiences. Demonstrated ability to communicate clearly and effectively. Ability to adapt to new situations, changing priorities, or unexpected challenges to meet project goals. Ability to analyze evidence, critically consider options, and draw conclusions from data. Knowledge of principles, practices, and methods of engineering (civil, mechanical, electrical, environmental, and/or transportation) as demonstrated in work experience (jobs, internships, or research positions). Applied knowledge of Microsoft Office, ArcGIS, AutoCAD, SolidWorks, Adobe Creative Suite, and/or other software. Additional Information Important Information for Applying - Please read carefully: Use the ‘Easy Apply' feature at the top of the application page to pre-fill the page. This will also automatically attach your resume to the application. You must attach the following: Proof of your community college, undergraduate or graduate school education (Master's or PhD program). This can be official or unofficial transcript, diploma, class schedule, or other document that shows your current enrollment or student status with your school. Submission date for college transcripts may be extended if it is impossible to obtain by January 16, 2026. Applicants must submit a signed statement explaining why transcripts cannot be obtained by the filing date. Extension requests will be granted on a case-by-case basis. It is the applicant's sole responsibility that all application materials and support documentation be received in a complete and legible form. AND Resume (PDF only, limited to 2 pages) AND Cover letter (PDF only, limited to 2 pages) that: briefly addresses your interest in urban planning, transportation, city government, community engagement, and career goals AND includes examples that show how you meet desirable qualifications listed on this job ad. Applications without these attachments will be considered incomplete and may not move on in the hiring process. If you have any questions or need assistance, you may email *********************. The selection process will include evaluation of applications in relation to minimum requirements. Applicants meeting the minimum qualifications are not guaranteed advancement to the interview. Depending on the number of applicants, the SFMTA may establish and implement additional screening mechanisms to comparatively evaluate the qualifications of candidates. If this becomes necessary, only those applicants whose qualifications most closely meet the needs of SFMTA will be invited to participate in the oral/performance interview. Your resume and cover letter will be used for scoring in the selection process. What else should I know? Staying Connected Applicants will be contacted by email about this recruitment and, therefore, it is their responsibility to ensure that the email address on the application is accurate and accessible. Also, applicants must ensure that our emails are not blocked by a spam filter. To prevent blocking, applicants should set up their email to accept mail from @smartrecruiters.com and @sfmta.com. After successfully submitting the application, you will receive a confirmation email that your application has been received. You should retain this confirmation email for your records. Failure to receive this email means that your application was not submitted or received. Verification: Applicants may be required to submit verification of qualifying education and experience at any point during the recruitment and selection process. More information can be found at: **************************************************************** Falsifying one's education, training, or work experience or attempted deception on the application may result in disqualification for this and future job opportunities with the City and County of San Francisco. Selection Process: Applications will be screened for relevant qualifying experience. Additional screening mechanisms may be used to determine candidates' qualifications. Only those applicants who most closely meet the needs of the Agency will be invited to move forward in the selection process. Information About the Hiring Process Conviction History Employee Benefits Overview Equal Employment Opportunity Disaster Service Worker ADA Accommodation Right to Work Copies of Application Documents Diversity Statement All your information will be kept confidential according to EEO guidelines. For questions or inquiries, please contact: *********************. The City and County of San Francisco encourages women, minorities and persons with disabilities to apply. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law.

Fixing our K-12 education system is a civilizationally-important problem. We believe that all of our problems - including the ones that dominate the headlines - are downstream of education. We have a simple thesis on how to solve it: empower 1,000's of educators to launch microschools in their communities. We believe the historical tradeoff between price (tuition) and quality is a false dichotomy. PrimerOS automates and eliminates much of the costs of traditional schools. Microschools have a structural advantage - asset-light real estate - which means much lower capex and opex. You put it together, and you get something that's never existed before: a world-class education that's accessible to normal American families and can rapidly scale. About the Role: We're hiring full stack software engineering interns. The internship begins in January, May, or June, with the option for preferably a 4 to 8-month commitment. We're rebuilding the education stack from the ground up, so you'll be exposed to some really interesting and impactful work. Our engineering projects are highly interdisciplinary and span domains such as frontend, backend, systems, hardware and more. As a startup, we offer interns a ton of ownership and mission-critical work. Tech stack: Work with TypeScript, NodeJS, GraphQL, Prisma, Postgres, NextJS, React, and Relay. Collaborative environment: Collaborate with team members across engineering, product, design, and academic programs. In-office: Full-time, in-office internship based in our light-filled Mission district office in San Francisco. Hands-on projects: Tackle meaningful projects with direct impact. You'll work on features used daily by teachers, students, and families, solving real-world problems in education. Mentorship & learning: Grow your skills with support and mentorship from a small, high-performing team. Engineering culture: Contribute to a culture of excellence and collaboration through code reviews and high standards for quality. About you: Passion for education: You're energized by the opportunity to help redesign the school experience and fix the US education system. Thrives in the unknown: You love figuring things out and rolling up your sleeves to solve ambiguous problems. Strong fundamentals: You have a solid foundation in engineering principles and can apply them effectively. Craftsmanship: You care deeply about the details and take pride in building exceptional software. Competitive salary and benefits package, with J-1 and F-1 visa sponsorship available. If this sounds like you, fill out the application below with a bit about yourself and we'll take it from there!

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

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

Onwards Together! Illumio is the leader in ransomware and breach containment, redefining how organizations contain cyberattacks and enable operational resilience. Powered by the Illumio AI Security Graph, our breach containment platform identifies and contains threats across hybrid multi-cloud environments - stopping the spread of attacks before they become disasters. Recognized as a Leader in the Forrester Wave™ for Microsegmentation, Illumio enables Zero Trust, strengthening cyber resilience for the infrastructure, systems, and organizations that keep the world running. This is a 12 week internship program beginning on May 26th 2026 or June 22nd 2026 Location: Onsite 5 day's a week at Headquarters in Sunnyvale, CA Our Team's Vision: Illumio's Cloud Segmentation and Security Analytics team builds and operates the enforcement and analytics platform that stops lateral movement across multi-cloud and hybrid environments. We transform massive volumes of customer inventory, topology, and traffic data from AWS, Azure, GCP, and OCI into actionable segmentation insights and precise policy enforcement. Our systems leverage native cloud security controls to achieve Zero Trust segmentation at scale. The team's mission is to deliver real-time security analytics and enforcement orchestration that's resilient, low-latency, and cloud-aware. We address the toughest challenges around scalability, rate limits, resiliency, and consistency across diverse cloud environments using a modern, distributed tech stack. What You'll Do: Design and build distributed services that analyze traffic and enforce segmentation policies across multi-cloud environments Develop scalable orchestration layers to translate and apply policies using native cloud firewalls and controls Build data pipelines that correlate cloud resources, traffic, topology, and network telemetry to derive real-time insights into trust boundaries and policy effectiveness Contribute to algorithms that contain lateral movement, policy drift, and misconfigurations. Optimize resiliency, latency, and throughput of enforcement workflows within cloud rate limit and API constraints Collaborate with cross-functional teams to deliver secure, observable, and performant microservices Participate in design discussions, performance reviews, and production readiness assessments to ensure high reliability What You'll Bring: Currently enrolled in a full time Bachelor's or Master's degree program in Computer Science, Software Engineering, or a related field with an expected graduation date in Winter 2026/Spring 2027 A positive, can-do attitude with strong ownership and drive to build world-class cloud segmentation software Strong programming skills in Golang or similar language with solid understanding of distributed systems, data structures, and concurrency Familiarity with Kubernetes, gRPC, Postgres, graph databases, caching databases and public cloud platforms Interest in cloud security, firewall orchestration, and Zero Trust segmentation Understanding of networking concepts such as VPCs, routing, and firewall rule evaluation is a plus A mindset focused on scalability, fault tolerance, and performance optimization Strong collaboration, problem-solving, and communication skills What You'll Gain: Hands-on experience designing and deploying multi-cloud security and segmentation systems that operate at a massive scale Deep exposure to native cloud firewalls, enforcement points and policy APIs across AWS, Azure, GCP, and OCI Understanding of how to operationalize Zero Trust principles using distributed enforcement models Mentorship from senior engineers building industry-leading cloud microsegmentation technology Opportunity to design and demo a capstone project with measurable impact on scalability, resiliency, or security posture Compensation: $ 37 - 47 USD Our Commitment: Illumio believes that an environment of unique backgrounds, experiences, viewpoints, and individual contributions drives our success and makes us stronger together. We are dedicated to creating and maintaining a diverse culture and emphasizing inclusion and belonging. #LI-PO #LI-ONSITE All official job offers from our company are extended directly by our recruitment team and will be sent through an official E-Signature document for your review and signature. Please be aware that we do not ask for any personal information in the process of extending offers of employment, such as financial details or social security numbers. Upon acceptance of any offer, we will request such information as part of the onboarding process prior to or on your first day of employment, and only after completing a background check through an authorized third-party vendor. If you receive any communication asking for personal details outside of these processes, please contact us immediately to verify the authenticity of the request. Your security is important to us, and we are committed to a safe and transparent hiring experience. For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Illumio will consider for employment qualified applicants with arrest and conviction records.

Figure is an AI Robotics company developing a general purpose humanoid. Our Humanoid is designed for corporate tasks targeting labor shortages and jobs that are undesirable or unsafe. We are based in San Jose, CA and require 5 days/week in-office collaboration. We are looking for a Validation Engineering Intern for Winter 2026 to support the design, automation, and execution of system-level validation across our humanoid platform. This internship is designed for students in their final year of an undergraduate or master's program, as well as recent graduates who are on track to complete their degree by the end of 2026, or the following year. Responsibilities: Architect hardware and software solutions for validating humanoid subsystems (actuators, batteries, cameras, sensors). Write Python scripts to automate validation and regression testing. Contribute to the development of a CI/CD pipeline for hardware/firmware/software integration. Debug and resolve software regressions and hardware issues in collaboration with cross-functional teams. Requirements: Graduate student or recent graduate in Electrical Engineering or related field. Minimum 12-week internship, 1 to 2 terms preferred. Strong fundamentals in electrical engineering. Proficiency with Python or a similar programming language. Experience with Git and version control workflows. Familiarity with microcontrollers and embedded systems. Bonus Qualifications: Experience with firmware development in C. Exposure to PCB design and troubleshooting. Hands-on work with sensors, motors, or electromechanical systems.

Embrace Your Possibilities: At Brown and Caldwell, an environmental engineering firm, we're unlocking the potential of water and healthy environments to create thriving communities. Delivering this shared purpose starts with our people: We recruit individuals seeking to develop their skills and gain experience to build a strong foundation for the future. Through an internship at Brown and Caldwell, you'll gain real-life, hands-on experience alongside our employee owners, engineers, scientists, consultants, and constructors who are driving positive changes for our clients and communities. Here you'll find opportunities for impact, community that lifts, support to thrive, and trust in you as you embark on your career journey. So, what's possible for you? Brown and Caldwell offers Summer Internship opportunities to spend a summer working with our team to support the Private Sector Business Unit. We are seeking an individual interested in gaining practical, hands-on experience outside of the classroom. We promise a collaborative environment where you will grow as a professional under the guidance of your people manager and team and be trusted to support project objectives. Our work is interesting, challenging, wide-ranging in nature, and impactful for the communities we live in. We invite you to embrace your possibilities and join us to learn and develop with our team of nationally recognized experts! How Will You Make an Impact? Interns at Brown and Caldwell make a daily, material impact by completing support duties to advance their team's projects and objectives. They receive professional training and the support of their team. Interns can expect to be onboarded, mentored, and developed by industry leaders to develop real-life skills and make an impact on their assigned projects. As a Summer Intern, you can expect your experience to include the following: * Collaborate closely with project managers, engineers, designers, and BIM leads to execute work on water and wastewater treatment and conveyance infrastructure projects. * Assist in the preparation of engineering and design deliverables including drawings, specifications, technical memoranda, reports, schedules, and figures. * Communicate effectively and coordinate with multidisciplinary project teams (e.g., drafters, designers, engineers). * Perform edits and updates in Revit and AutoCAD models based on engineering changes and markups. * Participate in the full project lifecycle, including design, documentation, and construction support. * Conduct field work such as site investigations and construction observations as needed. * Support data-related tasks including entry, analysis, visualization, and documentation to inform design decisions. * Check design deliverables for consistency, readability, and adherence to standards and specifications. * Provide engineering services during construction, including performance checks and conformity assessments. * Manage and deliver assignments on time, demonstrating strong organizational and time management skills. * Complete an Internship Capstone project demonstrating skill development, learning, and accomplishments gained during the summer internship experience. Work schedule and location: Summer Interns with Brown and Caldwell work a full-time schedule of 40 hours a week and may have the potential for hybrid work schedules and fieldwork Desired Skills and Experience: What Must Our Candidate Have? (Required) * To qualify for an internship, you must be enrolled as a student seeking a degree in engineering (Structural Engineering, Mechanical Engineering, Environmental Engineering, Electrical Engineering, or a related field), science, geology, or a related field. * You must be enrolled for the 2025-2026 academic year and plan to continue in Fall 2026. * You also must maintain a minimum cumulative GPA of 3.0 on a 4.0 scale. Salary Range: The hourly pay range for this position is based on the employee's primary work location and may be more or less depending upon skills, experience, and education. These ranges may be modified in the future. Location A: Hourly $18.40 - $25.20 Location B: Hourly $20.20 - $27.70 Location C: Hourly $22.00 - $30.20 You can view which BC location applies to you here. If you have any questions, please speak with your Recruiter. Benefits and Other Compensation: We provide a comprehensive benefits package that promotes employee health, performance, and success which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time off and parental leave, paid holidays, 401(k) retirement savings plan with employer match, performance-based bonus eligibility, employee referral bonuses, tuition reimbursement, pet insurance and long-term care insurance. Click here to see our full list of benefits. About Brown and Caldwell Headquartered in Walnut Creek, California, Brown and Caldwell is a full-service environmental engineering and construction firm with 50 offices and 2,100 professionals across North America and the Pacific. For 75 years, we have created leading-edge environmental solutions for municipalities, private industry, and government agencies. We strive to be the company of choice-to our clients, who benefit from our passion for delivering exceptional quality, and to our employees, present and future, who share our commitment to client service, collaboration, and innovation. Join us, and you will find a home where you can do your best work, reach new levels of expertise, and enjoy exceptional development opportunities. For more information, visit ************************ This position is subject to a pre-employment background check and a pre-employment drug test. Notice to Third Party Agencies: Brown and Caldwell does not accept unsolicited resumes from recruiters or employment agencies. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement and approved engagement request with Brown and Caldwell, Brown and Caldwell reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Brown and Caldwell is proud to be an EEO/AAP Employer. Brown and Caldwell encourages protected veterans, individuals with disabilities, and applicants from all backgrounds to apply. Brown and Caldwell ensures nondiscrimination in all programs and activities in accordance with Title VI of the Civil Rights Act #Intern26

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

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.

A leading patent consulting firm in San Francisco is seeking a Patent Agent or Associate. The role requires a degree in engineering or related fields, registration to practice before the USPTO, and a law degree for attorneys. Candidates should be confident in discussing technical details and comfortable engaging with prominent tech companies. This position offers opportunities across various fields, including AI and clean energy. #J-18808-Ljbffr

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. Meet the Team Join our innovative engineering team focused on building next-generation AI/ML solutions. You'll collaborate with skilled colleagues across platform, security, release engineering, and support teams to deliver high-impact products and ensure their flawless operation. Your Impact Dive into the development and implementation of innovative generative AI applications using the latest large language models-think GPT-4, Claude, Llama, and beyond! Take on the challenge of optimizing neural networks for natural language processing and machine perception, drawing on a toolkit that includes convolutional and transformer-based models, student-teacher frameworks, distillation, and generative adversarial networks (GANs). Performance, scalability, and reliability are front and center as models are trained, fine-tuned, and put through their paces for real-world deployment. Collaboration is at the heart of this role-work alongside talented engineers and cross-functional teams to gather and prep data, design custom layers, and automate model deployment. Experimentation with new technologies and ongoing learning are always encouraged. Production-ready code, robust testing, and creative problem-solving all play a part in bringing innovative AI solutions to life. What an exciting place to grow and make an impact! Minimum Qualifications * Currently enrolled in an undergraduate degree program in a relevant field, such as Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related discipline. * Previous experience with model building, AI/LLM development, and programming in Python, SQL, or Go, including the use of common AI libraries, in an academic, project, or professional capacity. * Able to legally live and work in the country for which you're applying, without visa support or sponsorship. Preferred Qualifications * Experience with cloud-native solutions, Docker container orchestration, or modern rapid deployment platforms. * Knowledge of data pipeline design, tools, and maintenance. * Exposure to AI security, cybersecurity, or AI validation techniques (e.g., Guardrail). * Familiarity with MCP/Agent workflows or supply chain processes. * Experience contributing to AI-focused platforms or open tools (e.g., AI Defense Open Tools Portal, AI-SPM), data science toolkits such as Pandas, NumPy, SciPy, or Scikit-learn, and an understanding of Natural Language Processing (NLP) concepts. ProductIntern26 Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed. Join us to transform the way the world works. 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: ********************************************

Onwards Together! Illumio is the leader in ransomware and breach containment, redefining how organizations contain cyberattacks and enable operational resilience. Powered by the Illumio AI Security Graph, our breach containment platform identifies and contains threats across hybrid multi-cloud environments - stopping the spread of attacks before they become disasters. Recognized as a Leader in the Forrester Wave™ for Microsegmentation, Illumio enables Zero Trust, strengthening cyber resilience for the infrastructure, systems, and organizations that keep the world running. This is a 12 week internship program beginning on May 26th 2026 or June 22nd 2026 Location: Onsite 5 day's a week at Headquarters in Sunnyvale, CA Our Team's Vision: We are looking for a motivated intern to join our Kubernetes Engineering team and gain hands-on experience working on modern container platforms and cybersecurity challenges. As part of our team, you'll learn how Zero Trust Segmentation is applied to protect critical infrastructure while working with technologies that range from operating systems to distributed applications to UI and visualization. What You'll Do: Design, build, and rigorously test new features and stages for high-throughput batch and streaming data pipelines (utilizing technologies like Apache Spark and Kafka) Explore how security and networking controls can be applied to containers and cloud-native applications Learn how container orchestration platforms (Kubernetes, Istio, OpenShift, AKS, EKS, GKE) are used in enterprise environments Contribute to small features, tools, or experiments under mentorship Participate in design discussions, sprint planning, and team standups to understand real-world engineering workflows Document findings, experiments, and best practices to support the team What You'll Bring: Currently enrolled in a full-time Bachelor's or Master's degree program in Computer Science, Software Engineering, or a related technical field, with an expected graduation date in Winter 2026 or Spring 2027 Familiarity with at least one programming language (Python, Go, Java, or similar) Basic understanding of Linux/Unix systems and networking concepts Foundational knowledge of data structures, algorithms, and debugging techniques Interest in containers, cloud computing, and cybersecurity Eagerness to learn, collaborate, and contribute in a fast-paced engineering environment What You'll Gain: Hands-on experience with container platforms and cloud-native technologies Exposure to cybersecurity practices such as Zero Trust Segmentation Mentorship from experienced engineers building scalable, distributed systems The opportunity to contribute to projects that help make the digital world a safer place Compensation: $ 37 - 47 USD Our Commitment: Illumio believes that an environment of unique backgrounds, experiences, viewpoints, and individual contributions drives our success and makes us stronger together. We are dedicated to creating and maintaining a diverse culture and emphasizing inclusion and belonging. #LI-PO #LI-ONSITE All official job offers from our company are extended directly by our recruitment team and will be sent through an official E-Signature document for your review and signature. Please be aware that we do not ask for any personal information in the process of extending offers of employment, such as financial details or social security numbers. Upon acceptance of any offer, we will request such information as part of the onboarding process prior to or on your first day of employment, and only after completing a background check through an authorized third-party vendor. If you receive any communication asking for personal details outside of these processes, please contact us immediately to verify the authenticity of the request. Your security is important to us, and we are committed to a safe and transparent hiring experience. For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Illumio will consider for employment qualified applicants with arrest and conviction records.

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. **Meet the Team** Join our innovative engineering team focused on building next-generation AI/ML solutions. You'll collaborate with skilled colleagues across platform, security, release engineering, and support teams to deliver high-impact products and ensure their perfect operation. **Your Impact** Dive into the development and implementation of cutting-edge generative AI applications using the latest large language models-think GPT-4, Claude, Llama, and beyond! Take on the challenge of optimizing neural networks for natural language processing and machine perception, drawing on a toolkit that includes convolutional and transformer-based models, student-teacher frameworks, distillation, and generative adversarial networks (GANs). Performance, scalability, and reliability are front and center as models are trained, fine-tuned, and put through their paces for real-world deployment. Collaboration is at the heart of this role-work alongside talented engineers and cross-functional teams to gather and prep data, design custom layers, and automate model deployment. Experimentation with new technologies and ongoing learning are always encouraged. Production-ready code, robust testing, and creative problem-solving all play a part in bringing innovative AI solutions to life. What an exciting place to grow and make an impact! **Minimum Qualifications** + Currently enrolled in an undergraduate degree program with 2 years of relevant experience, or currently enrolled in a graduate degree program with 0 years of relevant experience. Relevant fields include: Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related program. + Backend development skills in Go or Python, demonstrated through a technical assessment, coding challenge, or code sample. + Understanding of LLM infrastructure and optimization strategies, shown in a technical interview, assessment, or supporting documentation. + Practical experience with model building and AI or LLM tasks, evidenced by a portfolio, code samples, technical evaluation, or academic/research project documentation. **Preferred Qualifications** + Experience with inference engines such as vLLM, Triton, or TorchServe. + Knowledge of GPU architecture, optimization techniques, distributed systems, and asynchronous programming models. + Familiarity with agent frameworks and cloud-native platforms. + Experience with cybersecurity principles and Python programming, including common AI libraries. + Exposure to scalable computing environments and best practices for secure, efficient AI deployment. ProductIntern26 **Why Cisco?** At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. **Message to applicants applying to work in the U.S. and/or Canada:** Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: + 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees + 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco + Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees + Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) + 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next + Additional paid time away may be requested to deal with critical or emergency issues for family members + Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: + .75% of incentive target for each 1% of revenue attainment up to 50% of quota; + 1.5% of incentive target for each 1% of attainment between 50% and 75%; + 1% of incentive target for each 1% of attainment between 75% and 100%; and + Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

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

Onwards Together! Illumio is the leader in ransomware and breach containment, redefining how organizations contain cyberattacks and enable operational resilience. Powered by the Illumio AI Security Graph, our breach containment platform identifies and contains threats across hybrid multi-cloud environments - stopping the spread of attacks before they become disasters. Recognized as a Leader in the Forrester Wave™ for Microsegmentation, Illumio enables Zero Trust, strengthening cyber resilience for the infrastructure, systems, and organizations that keep the world running. This is a 12 week internship program beginning on May 26th 2026 or June 22nd 2026 Location: Onsite 5 day's a week at Headquarters in Sunnyvale, CA Our Team's Vision: We are looking for a motivated intern who is interested in backend, platform, or site reliability engineering (SRE). This internship will provide hands-on experience with cloud infrastructure, automation, and modern SRE tools. You will work alongside our Operations, Platform, and Engineering teams to help support the latest Illumio products and learn how large-scale, secure, and highly available systems are built and maintained. What You'll Do: Learn how to design and support scalable and reliable cloud infrastructure Assist engineers in monitoring, troubleshooting, and improving platform and application reliability Gain exposure to Kubernetes, Docker, and cloud-native technologies Help automate tasks and processes using scripting languages (Python, Go, or others) Work with engineers to strengthen security, compliance, and observability of systems Shadow engineers in incident management and root cause analysis Participate in team meetings and collaborate on projects to support ongoing initiatives. What You'll Bring: Currently enrolled in a full-time Bachelors degree program in Computer Science, Software Engineering, or a related field, with an expected graduation date in Winter 2026/Spring 2027 Familiarity with at least one programming or scripting language (Python, Java, Go, or similar) Knowledge in cloud technologies such as AWS, Azure, or GCP Basic understanding of Linux/Unix systems and networking concepts Curiosity about automation, Infrastructure as Code (eg. Terraform), and containerization (eg. Docker, Kubernetes) Eagerness to learn, ask questions, and contribute in a collaborative environment What You'll Gain: Hands-on experience facilitating SOC 2 Type 2, ISO/IEC 27001/27701, PCI DSS 4.0 assessments, and other compliance initiatives Exposure to GRC tools such as VisoTrust, Drata/Safebase, and Apptega Opportunities to identify, create, or improve key security and compliance processes or internal controls Collaboration with cross-functional teams including Legal, Sales, Cloud Operations, and Customer Success Mentorship from experienced professionals in GRC and cybersecurity A deeper understanding of how compliance frameworks support customer trust and business growth A supportive and inclusive environment that values transparency, accountability, and continuous learning Compensation: $ 37 USD Our Commitment: Illumio believes that an environment of unique backgrounds, experiences, viewpoints, and individual contributions drives our success and makes us stronger together. We are dedicated to creating and maintaining a diverse culture and emphasizing inclusion and belonging. #LI-PO #LI-ONSITE All official job offers from our company are extended directly by our recruitment team and will be sent through an official E-Signature document for your review and signature. Please be aware that we do not ask for any personal information in the process of extending offers of employment, such as financial details or social security numbers. Upon acceptance of any offer, we will request such information as part of the onboarding process prior to or on your first day of employment, and only after completing a background check through an authorized third-party vendor. If you receive any communication asking for personal details outside of these processes, please contact us immediately to verify the authenticity of the request. Your security is important to us, and we are committed to a safe and transparent hiring experience. For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Illumio will consider for employment qualified applicants with arrest and conviction records.