Engineering internship jobs in Santa Cruz, CA - 896 jobs

ANELLO Photonics ****************************** is a leading-edge technology company based in Santa Clara, CA. The company has developed integrated photonic system-on-chip technology for next generation navigation. ANELLO's SIPHOGTM gyroscope is based on its patented photonic integrated circuit technology. The result is a product that is higher performance, much smaller size, weight, and power at a fraction of the cost of traditional optical gyros used in industrial, aerospace and military applications. It enables reliable and accurate navigation and positioning across many autonomous applications. ANELLO is currently engaged in commercial trials with various market-leading customers in the Construction, Farming, Trucking, Unmanned Aerial Vehicles, Autonomous Vehicles, and National Security segments. Job Summary: The Navigation Engineer develops and implements navigation algorithms for ANELLO systems that may be utilized on a variety of vehicle types, including ground, air and marine. The position will be integral member of navigation projects from requirements and software architecture to algorithms design, implementation, tuning and validation. ANELLO is creating navigation systems that will address the need for robust solutions in GNSS-challenged and GNSS-denied environments. Responsibilities: Collaborate and help craft the vision and roadmap for ANELLO navigation products Collaborate in highly multi-functional environment and work closely with systems, sensor, control, software, simulations, and business-related team members Participate in navigation tasks including system trade studies, component modeling of inertial measurement units (IMU), global navigation satellite systems (GNSS), camera, radar, LiDAR as well as simulation of navigation algorithms Help define requirements for vehicle sensors and state estimation software including sensors selection, voting, monitoring, fault detection, and sensor fusion Work with a multi-disciplinary team to develop and integrate complex hardware/software systems Contribute to architecture concepts, concept of operations, and technology trade studies Analyze, source, and select sensor solutions for use in the navigation system Give technical presentations and provide technical support to ANELLO team members Experience: BS (MS or Phd preferred) in Physics, EE, Aerospace Engineering, Applied Math, or other related fields 2+ years experience in sensor signal processing and sensor fusion algorithms (an equivalent combination of education and experience will be considered) Experience prototyping algorithms in Matlab, Python, Julia or similar tools Proficiency in C, C++ and Python Experience with GNSS aided inertial navigation system and performance analysis of navigation systems and navigation state error estimation with knowledge of optimal state estimation filters such as Kalman Filter and Extended Kalman filter (EKF) Solid understanding of state estimation techniques: state observers, Kalman filter, nonlinear state estimation Exceptional organizational, presentation, and communication skills Strong proficiency in modern software development workflows and practices, including version control, build and test systems, and peer review Strong mathematical skills and experience implementing mathematical frameworks Understanding of classical and modern navigation methodologies Additional Information: Start/end dates and duration of internship are flexible Due to U.S. government contract requirements ANELLO works under, applicants must be authorized to work in the United States without sponsorship. U.S. citizenship or Green Card required.

A leading real estate information firm is looking for an Associate Machine Learning Engineer to develop and implement cutting-edge machine learning algorithms. The role involves collaboration with researchers and engineers on projects involving computer vision, deep learning, and 3D data analysis. Candidates should have a bachelor's degree in computer science or related field, Python programming skills, and relevant internship experience. An annual salary between $82,300 - $179,000 is offered along with a benefits package. #J-18808-Ljbffr

Are you passionate about Generative AI and want to apply it to one of the most impactful domains - cybersecurity? Join our cutting-edge startup in the San Francisco Bay Area, where we are developing AI systems that transform how organizations understand, detect, and respond to cyber threats. As an Applied AI Scientist, you'll bridge AI research and real-world cybersecurity use cases - designing, implementing, and optimizing models that extract, reason, and act on complex security data. You'll work closely with cybersecurity experts, AI infrastructure engineers, and stakeholders to build end-to-end GenAI solutions: from concept to deployment. This role blends deep applied research with practical engineering, ideal for someone eager to push the limits of Generative AI for meaningful impact. Why Join Us: $25M Seed Funding: Strong capital foundation to innovate and scale fast. Early Success: Trusted by Fortune 500 companies, validating real-world demand. Experienced Leadership: Founders with 25+ years in cybersecurity - previous ventures valued at $3B+. Elite AI Leadership: Heads of AI, Engineering, and Product from world-class tech companies. Advanced AI Stack: LLMs, embeddings, RAG systems, LangGraph orchestration, and multimodal AI. Competitive Compensation: Excellent salary, meaningful equity, and room for technical leadership growth. Cybersecurity Knowledge Preferred but Not Required: We'll teach you the domain - you bring the AI innovation. Key Responsibilities: Core Applied AI Research Collaborate with cybersecurity researchers and stakeholders to scope AI-driven solutions to security problems (e.g., vulnerability management, code analysis, threat detection). Conduct applied research using the latest LLMs and embedding models (Claude, Google GenAI, Unsloth, vLLM). Prototype, fine-tune, and evaluate GenAI and RAG/CAG architectures for classification, summarization, reasoning, and context synthesis. Perform embedding-level optimization for text, code, and image data using Unsloth, Hugging Face, Voyage, or similar frameworks. System Development & Integration Develop and test end-to-end AI pipelines integrating Milvus or Pinecone for semantic retrieval. Build agentic AI systems using LangGraph or similar frameworks to enable autonomous reasoning and task chaining. Collaborate with MLOps engineers to deploy and monitor AI models in production securely and efficiently. Contribute to synthetic data generation pipelines for fine-tuning and evaluation. Evaluation & Optimization Implement evaluation frameworks using DeepEval and GenAI tools (Claude / Google GenAI) for factuality, reliability, and robustness. Optimize model performance across latency, accuracy, and cost using vLLM, quantization, or caching strategies. Maintain reproducible experiment tracking with MLflow, Weights & Biases, or internal tools. Innovation & Leadership Stay ahead of GenAI trends - multi-modal reasoning, agentic orchestration, embedding adaptation. Explore hybrid LLM deployment strategies (local Unsloth/vLLM + cloud APIs like Claude, Google GenAI). Document best practices, share learnings, and mentor junior scientists on applied GenAI workflows. Qualifications: Required 4+ years in Applied AI / Machine Learning Research / Data Science. Strong understanding of LLMs, embeddings, RAG systems, and multimodal learning. Proficiency in Python and frameworks like PyTorch, Transformers, Hugging Face, or LangChain. Experience in prompt engineering, model evaluation, and retrieval-based reasoning. Hands-on experience with vector databases (Milvus / Pinecone) and orchestration frameworks (LangGraph / LangChain). Strong communication skills and ability to collaborate across research and engineering functions. Preferred Experience with fine-tuning LLMs or embeddings using Unsloth or similar frameworks. Familiarity with Claude / Google GenAI APIs for cloud-based inference and evaluation. Exposure to cybersecurity or enterprise data (CVEs, plugin Text, network or asset logs). Prior work on synthetic data generation and evaluation frameworks (DeepEval). Experience in a fast-paced startup or applied research environment. Our Culture & Team • Collaborative and Mission-Driven: Every project directly advances global cybersecurity. • World-Class Mentorship: Work with senior experts from top AI and security companies. • Growth-Oriented: Opportunities to lead GenAI initiatives and own major research tracks. • Inclusive and Innovative: We value diverse perspectives and open experimentation. Perks & Benefits Comprehensive medical, dental, and vision coverage. Wellness and professional development stipends. Equity options - your impact equals ownership. Access to state-of-the-art GPUs, APIs, and GenAI frameworks.

A leading real estate data provider seeks an Associate Machine Learning Engineer in Sunnyvale, California. This role involves developing state-of-the-art computer vision algorithms and collaborating on projects related to 3D spatial data. Candidates should have a Bachelor's degree in Computer Science or Engineering, along with strong Python skills and relevant internship experience. Excellent benefits include competitive compensation, professional development support, and comprehensive health coverage. #J-18808-Ljbffr

Engineering Associate / W2-only Contract / 6-months / Onsite, Fremont, CA / $22.75/hr. W2 Responsibilities: Assist in overseeing and maintaining the production processes within the Metrology Department. Manage incoming and outgoing jobs for both internal and external metrology service requests. Coordinate with shipping/receiving teams and couriers. Act as a liaison between the Metrology department and other internal departments. Provide feedback on systems and work towards continuous improvement. Required Skills: Excellent professional written and verbal communication skills. Experience and proficiency with Microsoft Word and Excel. Adaptive, quick learner, and flexible. Ability to be extremely detail oriented, patient, organized, accountable, and work well in a team environment. Ability to lift ~25 lbs. Fluent English. Preferred Skills: 3+ years of customer service or sales experience. Experience creating SOPs or similar guiding documents for professional use. Experience in a Quality Control role. Experience coordinating with shipping/logistics services. Experience either leading or being part of the roll out of new professional initiatives.

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.

Job Description Therm-x of California is the leading manufacturer of Advanced Temperature and Control Systems for Hi-Technology industries. We have been in business for over 30 years and have a diverse customer base. We offer competitive pay, medical, dental, vision, 401(K), sick leave and paid time off. We are looking for an Industrial/Process Engineering Intern to support our Warehouse department to reorganize over 80,000+ unique parts to maximize efficiency and support the low-volume high-mix production schedule. The Warehouse Engineer Intern will be cross trained to perform various tasks in Purchasing, Receiving, and Kitting and Inventory. Essential duties include but no limited to; Support Warehouse layout management Preform data analysis & support the reorganization of inventory according to data Identify opportunities to improve kitting efficiency Physically reorganize inventory Perform cycle count Support documentation of warehouse organization Support de-trashing of stored material and material handling Usage reports on lower level parts Material handling and space efficient packaging methods Understanding of proper material handling practices Supply chain coordination on packaging and sample sizing Prepare Inventory analysis and Shortage analysis Support the design layout for finished good warehouse Support the improvement of floor stock Program Conduct production capacity analysis to ensure operational efficiency Conduct wall to wall inventory checks / inventory audits Other projects based on management discussion, data analysis, and identified opportunities Support the improvement of kitting process efficiency by analyzing workflows and identifying areas for enhancement Report daily activities to responsible supervisor Ensure all work processes meet safety standards and address any safety concerns Desired Skills; Strong written and verbal communication skills to translate technical recommendations for non-technical stakeholders. Ability to create effective solutions for a wide range of challenges Strong analytical skills to interpret data, create reports, and provide insights to decision-makers. Familiarity with lean manufacturing principles and supply chain management. Project management skills to handle multiple initiatives simultaneously. Proficient in using presentation software to communicate complex information to management. Physical Demands: While performing the duties of this job, the employee is regularly required to be in a stationary position; move within the facilities, constantly operate machining equipment and tools, inspect surroundings and equipment, occasionally ascends/descends a ladder, communicate with others, detect odors, and transport equipment up to 30 pounds Work Environment: High noise level associated with a manufacturing facility

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

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

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

We are looking for ambitious achievers to join our 2026 Kickstart Internship Program in Santa Clara, 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

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

The Role: This role will support our EHS team in ensuring a safe, healthy, and compliant work environment. The EHS intern will gain hands-on experience in various aspects of EHS management, including safety audits, risk assessments, regulatory compliance, and environmental sustainability initiatives. The EHS Intern will assist in promoting a culture of safety and environmental responsibility within the company while supporting daily operations and reporting needs. Location(s): Salinas, CA Areas of Responsibility: Support EHS Program Implementation: Assist in the implementation and monitoring of safety programs and initiatives, including workplace safety training, inspections, and audits. Data Management & Reporting: Assist in collecting and analyzing EHS-related data, preparing reports, tracking safety metrics, and maintaining accurate records of incidents, safety inspections, and audits. Risk Assessment: Help identify potential safety hazards, conduct risk assessments, and implement corrective actions or recommendations to improve safety practices. Safety Inspections: Participate in regular safety audits and inspections, document findings, and assist in developing corrective actions. Preferred Qualifications: Currently pursuing a degree in Occupational Health and Safety, Environmental Science, Industrial Hygiene, Safety Engineering, or a related field. Strong interest in workplace safety, environmental regulations, and EHS practices. Excellent written and verbal communication skills, with the ability to clearly communicate safety information to team members at all levels. Strong organizational skills and the ability to maintain accurate records. Prior experience or coursework related to safety, hazard identification, or EHS programs is a plus, but not required. Ideal Candidate Willingness to learn and adapt: Open to gaining knowledge in environmental, health, and safety practices. Strong work ethic and reliability: Dependable and committed to completing tasks accurately and on time. Good communication and interpersonal skills: Able to work well with others and share information clearly.

Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Combining groundbreaking machine learning techniques with next-generation hardware, our teams take user experiences to the next level. This posting is for attendees of Interspeech 2022 who are interested in full-time opportunities at Apple.At Apple, you will design, develop, and deploy large scale services and platforms. We're looking for exceptionally skilled and creative scientists and engineers eager to get involved in hands-on work to improve our speech technologies by applying machine learning. You will also collaborate with teams across Apple, who are building the newest, most compelling intelligent applications in the world. This is a unique opportunity to apply machine learning and deep learning techniques at the intersection of various areas such as speech recognition, natural language processing, multi-modal, TTS dialogue management, acoustic modeling, language modeling and tools development. You should be creative, enthusiastic, and ready to communicate and collaborate with multiple teams.Array

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.

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

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: ********************************************

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. Looking for an internship that blends your communication skills with your need to dabble in technology? We're looking for Technical Sales Interns who are interested in exploring a career as a Sales Engineer, connecting people and business through technology. **Hey, that sounds like me...** You know how to express yourself and you like to talk to people and learn what makes them tick. Cloud technology, analytics and data fascinates you! You're passionate about learning, and thrive when things get exciting... and you tinker. You tinker with anything, be it mechanical or software. Helping people is satisfying to you, and the bigger the puzzle to get there, the better. **What is a Sales Engineer exactly...** Corporations rely on technology to run their businesses. Splunk Products allow customers to investigate, monitor, analyze and act upon their data with one platform. The Sales Engineer is the technical member of the Customer Account Team. They are the trusted advisor to both customers and the Sales Representative as the Splunk team collaborates to find the right solution for the business scenarios that are most important to the customer. Sales Engineers tinker with the tech and translate it for a business ear. The ultimate goal, of course, is the success of the customer. **What** **you'll** **do as a** **Splunktern** **:** Splunk Sales Engineer Interns will get the opportunity to become familiar with the Splunk Product line through observatory sessions with professional Sales Engineers: + Partner with a Professional Sales Engineer as they work. + Shadow customer calls and help out with presentation development, workshops and/or technical concept proof events as the account team moves the customers towards the close of sale. + Meet weekly with other SE Interns andmentors, anddiscuss whatyou'velearned. + Learn how to present technical concepts to customers and how to discover their needs. + Collaborate with peers in developing a knowledge resource forsubsequentintern cohorts. + Polish your evangelizing technique, talking about our products and services to customers (without being pushy!) + MeetSplunkersfrom allwalks of lifeand explore what Splunk has to offer. **Who are we looking for?** + Actively pursuing a Bachelor's or Master's Degree in Computer Science, Software Engineering, Management Information Systems, Business Analytics, a related technicalfieldor an established technical foundation. Applicants should alsopossessa strong record of academic achievement + At least one semester/quarterremainingto complete after the internship + Available to work40 hoursa week for12 weeks. **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. 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. Job Description Our internship roles will be based in Mountain View, CA. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. We are looking for AI interns to work on our massive semi-structured text, graph and user activity data sets. Build highly scalable, highly performant social graph engines, state-of-the-art full-text search engines, and platforms for recommendation and applied data analytics. You will utilize data mining, information retrieval, and machine learning to perfect your strong systems orientation skills. Candidates must be currently enrolled in a master's degree program, with an expected graduation date of December 2026 or later. Our internships are 12 weeks in length and will have the option of two intern sessions: • May 26th, 2026 - August 14th, 2026 • June 15th, 2026 - September 4th, 2026 Responsibilities: • Work with BIG data, crunching millions of samples for statistical modeling, data mining, recommendation, or search relevance solutions. • Write production quality code and influence the next generation of LinkedIn's systems. Qualifications Basic Qualifications: • Currently pursuing a M.S. in computer science, statistics, mathematics, electrical engineering, machine learning, or related technical field and returning to the program after the completion of the internship. • Hands-on experience with machine learning, data mining, or statistics. Preferred Qualifications: • Proficient programming skills within large scale projects or professional work experience • Experience or desire to learn Hadoop • Strong command of algorithms and data structures • Proficiency in clustering, collaborative filtering, and classification techniques (Naïve Bayes, SVM, NN, Boosting Methods, etc.) Suggested Skills: • Experience or research in Machine Learning and Deep Learning • Experience working with large data sets and data mining • Strategic thinking and problem-solving capabilities As part of the application process for this role, after an initial qualifications review, candidates are required to successfully complete the HackerRank online code challenge. Instructions for completion of the code challenge will be sent to you if your application is selected to move forward in the process. LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $57 to $70. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit ************************************** Additional Information Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at [email protected] and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: Documents in alternate formats or read aloud to you Having interviews in an accessible location Being accompanied by a service dog Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: ******************************** Global Data Privacy Notice for Job Candidates Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: ********************************************