Engineering internship jobs in Hayward, CA - 1,237 jobs

Until is a moonshot company building a “pause button” for biology. Our near-term focus is organ-scale reversible cryopreservation: preserving donated organs at subzero temperatures without ice formation, then rewarming them uniformly for transplant. By solving this grand challenge, we're laying the foundation for whole-body reversible cryopreservation, giving patients a bridge to future cures. To achieve our goal, we are assembling an interdisciplinary team to develop perfusion systems, cryoprotectant formulations, and vitrification and rewarming hardware. We are also building out our medical hibernation team to tackle the challenges of whole-body cryopreservation, beginning with rodent models. We envision a future where no transplantable organ is lost to logistics, and no terminal diagnosis is final because patients can safely wait for future medicine to arrive. About the Role As a Machine Learning Engineer / Scientist at Until, you will be an early member of the computational team defining how experimental data becomes insight and drives the next round of scientific discovery. You'll build high-leverage ML systems that help develop new cryoprotectant formulations, engineer biologically-inspired antifreeze proteins, and understand the physics of vitrification and rewarming. You will own projects end-to-end including shaping data collection and designing data pipelines, training and evaluating models, and deploying tooling that scientists use daily. About You Degree in Computer Science or a related field (Applied Mathematics, Statistics, Data Science, Computational Biology). Excellent foundations in the mathematics that underlies machine learning, including linear algebra, probability, statistics, and calculus. Strong experience in modern machine learning approaches, such as representation learning, generative modeling, active learning, and bayesian optimization. Track record of developing ML approaches for scientific discovery, as evidenced by a strong publication record, substantial open source contributions, or deployment of a machine learning system in an industry role. Demonstrated ability to write modular, maintainable, and performant code in Python. Fluency with the Python data science and ML stack, including PyTorch, NumPy, SciPy, Pandas/Polars, Matplotlib/Plotly. Proficient with developer tooling, including Linux command line, Git, and shell scripting. Ability to think from first principles and tackle complex, cross-disciplinary problems with other scientists and engineers. Preferred Qualifications 3+ years of relevant professional or research experience, or a PhD in a computational field. Strong understanding of computer science fundamentals, including algorithms, operating systems, and concurrency. Experience with cloud infrastructure (AWS, GCP) and SQL databases. Benefits Opportunity for outsized impact creating the future as an early team member. Generous medical, dental and vision insurance coverage. Flexible time off and paid holidays. Competitive compensation package, including salary and equity. 401(k) retirement savings plan. FSA and commuter benefits. Subsidized lunch daily. $140,000 - $240,000 a year While this represents our expected range based on market data, final compensation will be determined based on your specific qualifications and may be outside this range. Please keep in mind that the equity portion of the offer is not included in this estimate. As an equal opportunity employer, Until is committed to providing employment opportunities to all individuals. All applicants for positions at Until will be treated without regard to race, color, ethnicity, religion, sex, gender, gender identity and expression, sexual orientation, national origin, disability, age, marital status, veteran status, pregnancy, or any other basis prohibited by applicable law. #J-18808-Ljbffr

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

Helix Electric was founded in 1985 and is now one of the nation's largest and most successful electrical contracting companies. Our commitment to empowering people and powering projects is realized by our exceptional team of dedicated and highly skilled experts working together and never settling for good enough. We are proud of the team-oriented and employee-empowered business approach that defines our unique character. Our Project Engineer assists their Project Manager on projects and is the liaison between the field and the office. In this role, the PE is responsible for defining the project's objectives by planning, executing and finalizing projects according to the schedule while keeping within the budget. Our Internship Program As an intern at Helix Electric you will be trusted with meaningful responsibilities that have a lasting impact on the projects you touch. This hands-on approach to learning coupled with our top-notch mentor program affords all Helix interns the opportunity to develop skills that ensure their continued growth well beyond graduation. Our University Relations Team is dedicated to ensuring all interns have an experience where they learn, grow, and contribute value. To provide a well-rounded experience, all interns are exposed to a variety of project types, phases of construction, and project teams. Join Team Helix to empower people and power projects. Duties & Scope Develop relationships with project managers, subcontractors, engineers, and vendors to ensure a team approach and lay a foundation for building a career in the construction industry. Collaborate with superintendent to track material; maintains positive relationships with vendors for tracking, coordination, and close-out purposes. Act as a champion of the Helix safety culture. Monitors and encourages jobsite safety and accident prevention. Engage in the Change Order process and is introduced to Accubid to assist with estimating. Partner with the project team to analyze subcontract agreements to better understand scope of work and project pricing. Involved with material and equipment procurement. Collaborate closely with the BIM department and is directly involved in the coordination and planning process. Produce and maintain detailed job logs (transmittals, submittals, RFIs). Exposure to and monitoring of quality control. Manage labor schedules by working closely with superintendents and project managers. Create and order prefabricated assemblies to assist in planning and on time delivery. Walk jobs, learn the trade inside and out, and utilize knowledge to enhance overall company performance. Qualifications Enrolled in a bachelor's degree program such as Construction Management, Electrical Engineering, Civil Engineering, Architectural Engineering, or a related field. Previous construction or internship experience preferred. Highly motivated with a tendency to take initiative. Basic math skills with ability to calculate and analyze data. Excellent written and verbal communication skills. Good organizational skills. The ability to work well with all levels of the organization. A mindset for making continuous improvements of department processes. The starting hourly base pay for this role is between USD $21.00 and $26.00 per hour. The actual base is dependent upon many factors, such as: location, training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. The role may also be eligible for bonus and benefits. Helix Electric provides a comprehensive benefits package that includes the following: Relocation assistance Housing stipend or corporate apartment

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.

Field Applications Engineering Intern - 2026 Summer Internship Program Amphenol High Speed Products Group is the market leader for high speed, high bandwidth electrical connectors for the Telecom/Datacom market (Mobile Networks, Storage, Servers, Routers, Switches, etc.). Our products help to enable the electronics revolution and remain a key enabler for all the major Tier 1 OEMs globally. Our global headquarters are located in Nashua, NH and we have design, sales and manufacturing locations globally. We are currently seeking a Field Applications Engineering Intern to join our team. The position will be located in Santa Clara, CA. RESPONSIBILITIES: Our customer's ultimate success depends on our ability to solve cutting edge problems in relation to high bandwidth signal transmission. We value our relationships with these companies, and we depend on our Sales and Field Applications Engineering Teams to foster this ongoing partnership. What you'll do: Gain Experience! Training on Amphenol products and services Develop your professional experience through exposure to executive management and mentorship opportunities. Learn industry market knowledge by collaborating with peers and internal sales team on strategic initiatives for customers. Exposure to the latest and greatest technology for interconnect solutions The role of FAE Intern gives an excellent insight into the Sales, Marketing and Product Development functions of the organization. You will interface with our customers, and internal product development, product marketing, and sales teams. Supporting the below departmental functions: Engineering resource on the sales team to lead technical aspects of the sales cycle Provide technical marketing support for the development and implementation of AICC products Prepare materials and participate in product presentations Provide customer service to solve complex interconnect problems and technical inquiries Help devise strategies to differentiate our products and solutions from our competitors Some local travel will be required. QUALIFICATIONS: The ideal candidate would be pursuing their Bachelor's in Mechanical or Electrical Engineering field The role will draw on either your electronic engineering background (signal transmission, DSP, EMI/EMC, signal integrity) and / or your mechanical engineering background (materials, tolerance analysis, CAD tools) Knowledge of interconnect solutions industry is a plus SKILLS: You will have the opportunity to work on the following: Effective communications across the engineering and managerial functions of a business Organization and presentation skills Customer service and building relationships The base hourly range for this non-exempt position is $24.00 - $28.00 USD. In determining rate of pay, Amphenol considers a variety of nondiscriminatory factors, including but not limited to geographic location, experience, qualifications, skills, and education. Please note that this internship is temporary in nature, and ineligible for benefits.

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.

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

Job Type: Temporary Internship: A minimum of 20 hours per week, but up to 40 hours, as determined by internal availability and company workload. Duration: 3-4 months (May/June-August 2026) Compensation: $25-$27/hr Dudek's journey began in 1980 with a vision to serve Southern California's water and wastewater agencies. Today, we are a 100% employee-owned firm supporting clients nationwide and delivering projects that improve and protect the built and natural environments of communities throughout the United States. Our work has been recognized by leading industry organizations, and we've been honored with multiple national Top Workplace Awards. Our employee-owners are unified by a singular commitment to supporting projects that address key societal issues, such as the transition to renewable energy, infrastructure hardening and repair, environmental protection, and community resilience. Learn more about our award-winning culture, the benefits and perks of being a Dudekian, and the projects you will have the opportunity to shape. Who You Are As an employee-owner, you embrace accountability, working safely, and collaboration while thinking resourcefully and independently. Like all Dudekians, you are curious and solution-oriented, with the ability to adapt quickly to changes and approach challenges with a spirit of innovation. How You'll Make an Impact EEPIC strives to expand the environmental, engineering, economics, and planning industries with a workforce that more accurately represents the communities where we live, work, and serve. The mission of EEPIC is to implement a unified internship program for all students in this business sector including but not limited to those students who represent Black, Indigenous, and People of Color (BIPOC), as well as veterans, individuals with disabilities, and/or students who are first in their families to go to college and provide them with opportunities for professional development, networking, and a pathway into the industry. The Environmental, Engineering, and Planning Internship and Charrette (EEPIC) program is a collaborative effort between seven firms (Ascent, Dudek, ESA, Fehr & Peers, Placeworks, EPS, and Rincon) who are all committed to change through the creation of more opportunities in the environmental, engineering and planning fields for students from underrepresented communities. Dudek is currently accepting applications for the 2026 Internship Program through February 6 th , 2026, at 6:00 p.m. Program Details Internship will be approximately 3-4 months (May/June -August 2026) A minimum of 20 hours, but more hours can be available if appropriate. The program includes a collaborative 2-week charrette in July working on a project in Berkely, Ca (travel and lodging will be covered, if needed, during the charrette) You will be required to work in-person at one of our California offices. Please note, lodging is not covered for anytime outside of the charrette. What You Will Experience Produce planning, environmental, engineering, economic, and other technical work products. Analyze data and contribute to research. Work with diverse technical teams. Learn about local planning, environmental, engineering issues, and requirements. Conduct assignments in the field (i.e., visit project sites). Participate in public outreach and collaboration. Collaborate and network with other diverse students in the cohort. Minimum Qualifications All candidates must include their cover letter and resume with their application. Current upper division college/university students or recent graduates are desired. However, all community college, undergraduate, graduate, and doctorate students are welcome to apply. Experience using Microsoft Office; PowerPoint, Word, Excel desired. Qualified candidates should be studying one of the related topics of study: Environmental Studies Urban Planning and Design *Your resume and information may be shared with the other collaborating firms to ensure that you have an opportunity to participate* Compensation: $25-27/hourly* *Final agreed-upon compensation will be based on a variety of factors including, but not limited to, an individual's related experience, education, certifications, skills, and work location. Successful candidates must pass a pre-employment drug test and background check prior to beginning employment. Working Conditions: Environment This job operates in a remote or office-based environment and this role routinely uses standard office equipment such as computers, phones, printers, etc. This job may also require occasional project site visits, based outdoors which can include excessive noise, uneven walking surfaces, extreme weather, and moving vehicles and equipment. Physical Requirements The physical demands described here are representative of those that must be met to successfully perform the essential functions of the job. This job requires the following: Working on a computer, sitting, or standing for long periods of time in an office or remote office setting. Employees must be capable of bending, squatting, climbing ladders, and lifting up to 35 lbs. unassisted; 50lbs in a team lift (two or more employees). Attending meetings, both in person and virtually, and speaking on the phone with peers, clients, etc. Specific vision abilities, including close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. Dudek is committed to creating a workplace where all employees, regardless of their background, feel valued, respected, and have equal opportunities to succeed. We believe that a diverse and inclusive workforce is essential to our business success, and we are dedicated to fostering a culture where everyone can thrive. We are committed to fair and equitable processes, based on merit, free from any discrimination. Dudek is genuinely committed to equal employment opportunities within our company and on our project teams. Dudek is also committed to compliance with all applicable laws providing equal employment opportunities. This commitment applies to all persons involved in Dudek's operations and prohibits unlawful discrimination by any employee of Dudek, including supervisors and coworkers. Equal employment opportunities will be extended to all persons (including those with disability and veteran status) in all aspects of the employment relationship, including recruitment, hiring, training, promotion, transfer, compensation, benefits, discipline, layoff, recall, and termination. Any employee who violates this policy and Dudek's commitment to equal employment opportunities will be subject to disciplinary action. Dudek is a U.S.-based employer. All positions are based in the United States and require U.S. work authorization.

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

We are looking for ambitious achievers to join our 2026 Kickstart Internship Program in 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.

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