Research internship jobs in Half Moon Bay, CA - 3,196 jobs

Research and Implementation of the research for future mobility services Developing innovative solutions that advance AI/ML systems for mobility services Conducting applied research in Agentic AI, including agent design, orchestration strategies, tool integration, and communication protocols Conducting research on AI safety and alignment topics Identifying research gaps and propose novel solutions to enhance performance, reliability, and adaptability of agent-based systems Prototyping frameworks and algorithms in Python using tools such as AutoGen, LangChain, or custom orchestration layers Required Qualifications: Ph.D. in Computer Science, Electrical Engineering, Mechanical Engineering, or a related engineering discipline with a focus on AI / Machine Learning Research experience in Generative AI, Agentic AI, and AI Safety and Alignment Research experience with Foundational (LLMs, VLMs, and other large-scale AI architectures), including fine-tuning, evaluation, and application to domain-specific tasks Proficient programming skills in Python and common libraries (e.g., TensorFlow, Pytorch, etc.) Ability to engage in general research activities such as defining problems and issues to be addressed, finding, and using research data, and being able to make recommendations and findings in writing and presentations

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: High-Throughput Screening Research Associate II, III (Biodesigner II, III) Responsibilities: Perform massively parallel reporter assays and high-throughput screens across diverse cellular contexts using cellular and molecular readouts. Develop and execute molecular biology workflows such as vector design and cloning, DNA/RNA extraction, RT-PCR, qPCR, and next-generation sequencing. Support cell culture activities and experiments in multiple cell lines, at small and large scales. Design and execute cell-based assays (AAV/lentiviral transduction, transfection, flow cytometry, immunostaining, and other plate reader assays). Engineer and characterize cell-based systems using synthetic biology tools and techniques. Conduct and troubleshoot experiments, independently and in collaboration with colleagues, to optimize screening throughput, sensitivity, and specificity. Proactively troubleshoot technical issues and recommend potential corrective actions based on personal observations and literature searches. Prepare summaries of data and present internally to colleagues and management. Draft SOPs, follow protocols, diligently document experimental data in lab notebooks, and organize and maintain electronic work records. Author scientific reports and data summaries. Collaborate with cross-functional teams to meet project goals, bridging early discovery with high-throughput screens to nominate and optimize candidates for further characterization. Qualifications: Bachelor's or Master's degree in Biology, Biochemistry, Chemical Engineering, Biological Engineering, or a related field. At least 2 years of industry wet lab experience. Mammalian cell culture experience (culturing, transfecting and transducing cells, and DNA/RNA purification from cells). Molecular biology expertise (vector design and cloning, qPCR, primer and probe design, DNA/RNA extraction workflows) Critical thinker with excellent communication skills who thrives in a multidisciplinary, fast-paced team environment. Strong written and verbal communication skills. Preference will be given to those who display: High throughput screening assay development in an industry setting. High motivation, with a strong work ethic and dedication to generating impact. Attention to detail, with the ability to extract deep insights from data. First-principles thinking, and an ability to refine one's intuition based on additional data. Ability to go from ideation to data in an independent fashion. Long-term personal vision with defined career goals. High EQ with team-oriented thinking. Experience with pooled, high-throughput screens using next-generation sequencing-based readouts, and/or preparing screening plasmid libraries from synthesized oligo arrays. Experience with CRISPR-Cas systems and/or gene editing and delivery technologies. Experience preparing next-generation sequencing libraries (Illumina, PacBio, and/or Nanopore platforms). If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.

Title: Research Associate - Cell Image Analysis Duration: 12-18 months Part time: 20 hours weekly - flexible shift but needs to work within business hours. Hybrid - can be flexible on days that they are working in office. Job Posting Description Join an interdisciplinary team within Client CTO organization to develop cutting-edge AI image analysis software solutions. In this role, you will leverage your expertise in cell biology to: This is a part-time (50%) hybrid position based in Santa Clara, CA. Select, classify, annotate, and correct mammalian cell imaging data to support the development and improvement of AI image analysis tools. Collaborate closely with software engineers and scientists to assess tool performance and identify areas for enhancement. Assist with data transfer, organization, and tracking to ensure smooth workflow. Document and communicate findings clearly to team members through written reports and oral presentations. Preferred: B.S./B.A. in Biology, Biotechnology, Bioengineering, or equivalent. Hands-on research experience in cell biology, including mammalian cell culture. Strong communication and teamwork skills. Demonstrated attention to detail. Computer proficiency, including Microsoft Office. Solid data analysis capabilities and experience with Excel. Proficiency in optical microscopy or automated cell imaging of mammalian cells. Experience with MATLAB and basic scripting. Prior industrial research experience.

At New Culture, we are making cow cheese without the cow. Dairy cheese is unsustainable and plant-based cheeses don't work. Ours are sustainable, healthy, ethical, and indistinguishable from current dairy options in taste, texture, and function. Using fermentation to produce dairy proteins, food science to combine those proteins with natural ingredients, and traditional cheesemaking methods to make any cheese of choice, we are bringing about a new culture for the cheese industry. We are a Bay Area-based, venture-backed startup in an exciting growth and rapid expansion phase. We are looking for a Research Associate, Fermentation to join us in leading the global transformation to an animal-free dairy future. As an early member of the team, you will have significant influence and responsibility in determining the success and trajectory of New Culture. The ideal candidate is looking for a new challenge in a fast-moving collaborative environment and has experience in benchtop fermentation process development, ideally for protein and/or food production. This is a 6-month contract and is based onsite 5-days a week in our office in San Leandro, CA. What will you be doing: Plan and execute benchtop fermentation experiments independently for strain validation, process development, and media optimization Prepare necessary media and stock solutions for fermentation experiments Setup, sterilize, clean benchtop bioreactors, and perform routine maintenance if necessary Monitor fermentation through sampling, checking online parameters, and offline measurements Collect samples and perform routine biochemical assays and analysis Analyze fermentation data, write summary reports, and present project results in team meetings Maintain fermentation run indexes and records Identify potential improvements to the fermentation processes and design experiments necessary to justify process changes Troubleshoot, communicate, and collaborate with other team members to resolve equipment and process issues as they arise in the operation of bioreactors and lab equipment Perform downscaled (shake flask, microwell plate, Biolector) experiments to help optimize process parameters and media components Ensure alignment with other areas of science such as microbiology and downstream processing Develop and maintain SOPs Maintain safe practices and work environment What we expect from you: Bachelor's or Master's degree in Microbiology, Bioprocess Engineering, Chemical or Biochemical Engineering, or related field with 1-3 years of relevant industry or academic experience Ability to correlate microbial physiology with process performance in the bioreactors Willingness to work with a flexible schedule. Ability to lift up to 25 lbs (e.g., carboys of media). Ability to work standing up for up to 4hrs at a time. Ability to deliver high-quality work under constraints of time and budget Ability to work closely in a team of interdisciplinary and intercultural individuals Even better if you had: Hands-on experience with various types of fermentation processes (batch, fed-batch, continuous; aerobic and anaerobic), fermentation equipment and scale, control and analysis software Experience with data visualization and analysis tools such as Python, SpotFire, R, and/or JMP Prior involvement with startups and/or small businesses Salary Range: $77,000 - $95,000 annually How to know you are a great fit: We look for candidates who are team players, learners, doers, and hungry to make a difference in the world. Creativity and resourcefulness, honesty, and empathy go a long way. Our five core values guide us on our path to achieving our mission. Determination with Kindness | Have the resolve, the drive, and the will to succeed, but do it with empathy, encouragement, and compassion. In the face of adversity we will only excel as a team by keeping kindness at the forefront of everything we do. Creativity with Transparency | Creativity, persistence, questioning, and crazy ideas to solve hard problems are essential to our work. We do all of this out in the open while being honest and forthright about the new things we're trying, getting feedback and input from our teammates along the way. Teamwork with Rigor | Hold yourself and those around you to high standards and understand how your responsibilities are interconnected with others. As much as you rely on your teammates, they're relying on you, and only with consistent communication and rigorous teamwork will we achieve our goals together. Speed with Focus | We move quickly, exploring new opportunities and incorporating new results to make progress rapidly. Remaining focused throughout our experimentations means making thoughtful decisions, listening to a range of perspectives, and moving forward as a unified team once we've committed to the path ahead. Love the Product (not just the Science) | The science is cool but the product is even cooler. Our breakthroughs are always in the pursuit of better products. It's by selling delicious dairy that we will bring about a successful future for New Culture and a positive impact for our customers and the planet. New Culture is committed to promoting and creating a diverse, inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Diversity is the foundation of what we do at New Culture, enabling us to build a company that celebrates what makes each of us unique.

Title: AI Research Scientist Responsibilities: Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics. Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases. Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness. Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes. Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints. Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation. Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems. Contribute to academic publications and represent the company in research communities, as needed. Educational Qualifications: Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred. Candidates with a master's degree and exceptional research or industry experience will also be considered. Industry Experience: 3-5 years of experience in AI/ML research roles, ideally in applied or product-focused environments. Demonstrated success in delivering research-driven solutions that have been deployed in production. Experience collaborating in cross-functional teams across research, engineering, and product. Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus. Technical Skills: Strong foundational knowledge in machine learning and deep learning algorithms. Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO). Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases. Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations. Advanced programming skills in Python (preferred), C++, or Java. Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc. Strong mathematical foundations in probability, linear algebra, and calculus. Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc. Ability to translate research insights into roadmaps, technical specifications, and product improvements. AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

We're working with a San Francisco client that's got a research team of 50~ professionals and looking to further expand it. They are specifically looking to flesh out their Research Group by hiring a Research Scientist on a hybrid basis. They have seen $300M in a recent fund raise. Skills targeted: PhD in Physics/ Quantum Physics/ Theory/ Statistics/ Mathematics/ Computational Science or similarly related field. 2+ YoE working with AI Agents. Good exposure to LLMs. Ideally a background in Audio focused research. Alternatively Search, would also be highly advantageous. TC package of $1-1,5M with sizeable base salary & equity package. If that looks of interest, apply & Goliath will be in touch!

About the team The World Model team is at the core of Li Auto's long-term vision to redefine intelligent mobility through Physical AI. As part of the Intelligent Driving division, we focus on two strategic pillars: Technical Foresight - Continuously tracking and decoding global innovations in embodied intelligence, world models, autonomous agents, and real-world foundation models. Frontier Research - Conducting exploratory studies and developing foundational capabilities that empower the next generation of autonomous systems. Our mission is to anticipate breakthroughs, translate them into actionable insights, and steer the organization's roadmap in AI planning, decision-making, and simulation. We closely monitor the progress of industry leaders like Tesla and Waymo, while also contributing to top-tier academic outputs. This is a team for researchers who think beyond today's limitations and are driven to architect the AI systems of tomorrow. Duties and responsibilities Lead strategic analysis on global trends in Physical AI, including autonomous driving, embodied intelligence, robotics, and sensorimotor foundation models. Continuously monitor and benchmark key players (e.g., Tesla FSD, Waymo Robotaxi) and emerging technologies in North America and globally. Conduct exploratory research on cutting-edge technologies related to world models, multimodal large models, and planning frameworks in AI. Produce high-quality technical and strategic insight reports for internal stakeholders to inform roadmap and business decisions. Collaborate with R&D and product teams to shape future research directions and support decision-making with clear, data-driven foresight. Participate in academic engagements, including paper drafting and submission to top-tier AI conferences (e.g., NeurIPS, CVPR, ICRA, RSS). Requirements Education/Experience Master's or PhD degree in Artificial Intelligence, Robotics, Computer Science, Cognitive Science, or related disciplines. Minimum 5 years of experience in autonomous driving, embodied AI, strategy research, or related technical domains. Proven experience in technology foresight, strategy consulting, or academic research related to Physical AI is highly preferred. Knowledge Familiar with technical architectures of autonomous driving and Physical AI systems, including planning, simulation, and LLM/VLM integration. Understanding of multimodal foundation models (e.g., GPT-4V, Gemini, MM-ReAct), NeRF/3D scene generation, and decision-making frameworks. Awareness of global industry and academic trends in intelligent mobility and robotics. Skills and Competencies Strong analytical, synthesis, and strategic thinking capabilities. Excellent writing and communication skills in English; bilingual in Chinese is a plus. Ability to work cross-functionally, manage uncertainty, and handle ambiguity in emerging technology domains. Self-motivated, intellectually curious, and oriented toward high-impact results. About Li Auto We're a leading Chinese new energy vehicle company that designs, develops, manufactures, and sells premium smart electric vehicles (EVs). Through product, technology, and business model innovations, we provide families with safer, more comfortable, and more convenient products and services.

DayDreamer (Foundation Models, Trust & Safety) is TikTok's foundation-model team responsible for core development and research that push the boundaries of our LLM and VLM capabilities-with native trustworthiness and safety built in from day one. Our work enables product teams and customers to adopt advanced AI smoothly and responsibly, with safety woven into the model stack rather than bolted on. We are looking for talented individuals to join us for an internship in 2026. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok. PhD internships at TikTok provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date). Responsibilities: Pretraining & Continued Pretraining (CPT): Explore and develop approaches that improve general capability and safety for LLMs and VLMs via pretraining/CPT. Evaluation & Measurement: Build advanced evaluation systems to study emerging LLM/VLM skills and safety behaviors, aligned with real downstream use. Post-Training & RL: Develop advanced reinforcement-learning strategies (e.g., RLHF/RLAIF/DPO variants), and investigate how to balance pretraining and post-training for better capability and safety alignment. Scaffolded Settings & Agents: Probe new failure modes and pitfalls in scaffolded environments (agents, workflows, tool use), and translate insights into robust mitigations.Minimum Qualifications: * Currently pursuing an PhD in Computer Science or a related technical field. * Research experience in at least one of: LLMs, AI Safety, Computer Vision, Multimodality. * Actively track recent AI-safety developments (familiar with current papers, benchmarks, and terminology). * Proficient with at least one deep learning framework (e.g., PyTorch, TensorFlow). * Excellent analytical/problem-solving ability, clear logical thinking, and strong communication/collaboration skills. Preferred Qualifications: * Publications in top AI or Security venues (e.g., NeurIPS, ICLR, ICML, COLM, CVPR, ICCV, ECCV, USENIX Security, ACM CCS, IEEE S&P, NDSS). By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: ****************************************

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 a collaborative team of researchers and engineers dedicated to unlocking insights from substantial volumes of structured, unstructured, transactional, and real-time data. Together, we analyze diverse data sources to understand customer usage patterns and deliver actionable, impactful insights using advanced metrics, algorithms, and statistical techniques. Your Impact As an AI Research Intern, you will contribute to sophisticated research in large language models (LLMs), natural language processing (NLP), and multimodal deep learning. Working with senior researchers and cross-functional teams, you'll help build, implement, and evaluate machine learning models and algorithms. You'll participate in data collection, preprocessing, and analysis, and assist in developing and fine-tuning AI models for a variety of applications. Your expertise in data manipulation, model building, and database design will help transform raw data into important insights, while you continue to develop your skills with the latest tools and frameworks. You will also support research initiatives by creating experiments, comparing algorithms, tuning hyperparameters, and documenting results. In addition, you'll share findings with the team, contribute to reports and presentations, and help onboard new team members. Through collaboration and ongoing learning, your work will help identify business and research opportunities, drive strategic decisions, and advance the field of AI at Cisco. Minimum Qualifications * Currently enrolled in an undergraduate degree program. Relevant fields include: Relevant fields include: Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or a related program. * Proficiency in software development, with experience in relevant programming languages (such as Python and Go) and associated tools. * Ability to analyze and interpret data using statistical methods or data analysis tools (e.g., Excel, pandas, NumPy). Preferred Qualifications * Experience working with inference engines (e.g., vLLM, Triton, TorchServe) for LLM serving and optimization. * Familiarity with containerization and cloud platforms (such as Docker and AWS), as well as distributed systems for scaling and deploying AI models. * Familiarity with agentic AI concepts, agent frameworks, and related applications. * Experience training large language models (LLMs)-including modeling, optimization, fine-tuning, and serving-using Python and common AI libraries (such as TensorFlow, PyTorch, or Hugging Face Transformers), as evidenced by academic, project, or professional work. * Understanding of machine learning, deep learning, and natural language processing concepts, as proven through academic, project, or professional work. 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.

By submitting your resume, you're expressing interest in one of our 2026 Autonomous Vehicles focused Research Internships. We'll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society - from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Autonomous Vehicles teams. We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Learn more about Research at NVIDIA. What you will be doing: Design and implement cutting-edge techniques in the field of vehicle autonomy. Collaborate with other team members, teams, and/or external researchers. Transfer your research to product groups to enable new products or types of products. Deliverable results include prototypes, patents, products, and/or publishing original research. What we need to see: Must be actively enrolled in a university pursuing a PhD degree in Computer Science, Electrical Engineering, or a related field, for the entire duration of the internship. Depending on the internship, prior experience or knowledge requirements could include the following programming skills and technologies: Python, C++, CUDA, Deep Learning Frameworks (PyTorch, TensorFlow, etc.) Strong background in research with publications at top conferences. Excellent communication and collaboration skills. Experience with large-scale model training is a plus. Potential internships require research experience in at least one of the following areas: Next-Generation AV Architectures Chain-of-Thought Reasoning Mixture-of-Experts Diffusion-LLMs Diffusion-based Trajectory Decoding Novel Policy Training Strategies Closed-loop Training Off-policy RL Online RL Enforcing Consistency Foundation and Multimodal Models Vision-language models Multimodal reasoning Spatial Multimodal Models Modality Alignment Model Scaling Synthetic data Inference Efficiency Inference Optimizations (e.g., parallel decoding, speculative decoding) Token Representations Model Distillation Simulation and Behavior Modeling Digital Twins Scenario Generation World Models Behavior/Traffic Modeling End-to-End AV Systems Mapless driving World Representations Beyond imitation learning Safety-aware end-to-end models Perception and Representation Learning Multi-modal sensor fusion 2D/3D detection, segmentation, depth estimation, scene understanding, neural representations Safe and Trustworthy Autonomous Systems Principled robustness Model explainability Control Barrier Functions (CBFs) Verification and Validation of Safety-Critical AI Systems Trustworthy AI/ML for autonomy and robotics Data-Strategies for AI Benchmarking AV Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors. Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 30 USD - 94 USD. You will also be eligible for Intern benefits. Applications are accepted on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Business UnitWhat the Role Entails 1.Engage in the research and development of large-scale video world models, including the design and construction of training datasets, foundational model algorithm design, optimization related to pre-training, SFT, and RL, model capability evaluation, and exploration of downstream application scenarios. 2.Analyze R&D challenges scientifically, identify performance bottlenecks, and develop solutions based on first principles to accelerate the development and iteration of world models, ensuring competitiveness and leadership. 3.Explore diverse paradigms for world model implementation, research next-generation model architectures, and push the boundaries of world model capabilities. Who We Look For 1.Bachelor's degree or higher (preferred) in Computer Science, Artificial Intelligence, Mathematics, or a related field. 2.Solid foundation in deep learning algorithms and proven experience in large model R&D. Candidates with experience in Diffusion Models and Autoregressive Models, publications in top-tier conferences, or practical experience in text-to-image/text-to-video generation are preferred. 3.Familiarity with implementation details of deep learning networks and operators, model tuning for training/inference, CPU/GPU acceleration, and distributed training/inference optimization. Hands-on experience is a plus. 4.Participation in ACM/NOIP competitions is highly desirable. 5.Strong learning, communication, and teamwork skills, coupled with a keen sense of curiosity. Location State(s) US-California-Palo AltoThe expected base pay range for this position in the location(s) listed above is $80,169.00 to $120,000.14 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. This position will be eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Subject to the terms and conditions of the applicable plans then in effect, full-time interns are also eligible to enroll in the Company-sponsored medical plan.Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

The Video Intelligence team is seeking highly motivated Research Interns to join us in advancing the next generation of video generation technologies. The Video Intelligence team is an applied AI research team within the Facebook pillar, and is responsible for building state-of-the-art GenAI technology to empower video generation and understanding, enabling innovative AI-driven video creation experiences and enhancing our ability to comprehend video content. As a Research Intern, you will work alongside leading experts in computer vision, generative modeling, and multimodal learning, contributing to research projects at the frontier of developing advanced video generation models. Our work not only advances the academic field but also lays the groundwork for future video intelligence systems and applications. Minimum Qualifications * Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Electrical Engineering, or related field with a focus on generative modeling, computer vision, or machine learning * Programming experience in Python and hands-on experience in deep learning frameworks such as PyTorch * Experience working on generative models e.g. diffusion models, LLM, autoregressive transformers, etc * Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment Preferred Qualifications * Intent to return to the degree program after the completion of the internship/co-op * Proven track record of solid research achievements as demonstrated by grants, fellowships, patents, as well as publications at leading AI conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, or SIGGRAPH * Strong track record of contributions to open-source projects, benchmarks, or shared research artifacts * Research experience in video generation, temporal modeling, multimodal learning or unified native video generative models * Experience working and communicating cross functionally in a fast-paced team environment. Ideal candidates should have the ability to quickly understand and identify the research opportunities behind real-world applications, select the appropriate ML methods to explore, and proactively drive the iterations based on clear analysis of the current results Responsibilities * Conduct research on advanced topics in video generation and understanding, including but not limited to text-to-video generative models, image-to-video generative models, video understanding models, unified native video generative models. * Design, implement, and evaluate novel algorithms and model architectures. * Collaborate closely with researchers and engineers across the Video Intelligence group and broader GenAI teams. * Contribute to publications in top-tier conferences and journals in AI, computer vision, and machine learning. * Present findings and share insights that help shape both ongoing research and future directions. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

At Toyota Research Institute (TRI), we're on a mission to improve the quality of human life. We're developing new tools and capabilities to amplify the human experience. To lead this transformative shift in mobility, we've built a world-class team in Automated Driving, Energy & Materials, Human-Centered AI, Human Interactive Driving, Large Behavior Models, and Robotics. This internship opportunity is a paid 12-week internship for Summer 2026. Please note that this internship will be a hybrid in-office role. The Mission Our team uses design thinking process to place the human at the center of determining the needs, design, and implementation of human-machine interfaces. By following this process, the HMIR team creates automotive HMI technologies that allow humans of any ability to work in harmony with AI. The Team In the Human-Machine Interaction Research group (HMIR), we design, develop and evaluate novel interfaces to improve the safety, well-being, and performance of drivers using human-centered artificial intelligence. The Internship As a Research Intern, you will work on a project focused on improving driving safety and performance using the driver's behavioral, cognitive, and emotional states. There will be opportunities to design and run experiments in our driving motion simulator to study how different driver traits and states lead to unsafe driving behaviors, and how human-machine interfaces can be used to improve the driving experience. An ideal candidate should have experience running experiments with human subjects and should be pursuing a Ph.D. in Computer Science, Human-Computer Interaction, Cognitive Science, Psychology, Human Factors Engineering, or related fields. Experience with machine learning, measuring physiological signals (e.g., EDA, heart rate), and eye-tracking is a plus. You will work with a strong team of researchers, and the expected outcome is to have a publication at a human-computer interaction or cognitive science journal/conference. Responsibilities * Conduct user studies to evaluate the effectiveness and responses to different interventions to improve driving safety and performance. * Create novel interventions that can be used to help people drive better and safer. * Partner with a multidisciplinary team including other research scientists and engineers across Toyota Research Institute. * Present results in verbal and written communications, both internally and at top international venues. Qualifications * Currently pursuing a Ph.D. in Computer Science, Human-Computer Interaction, Cognitive Science, Psychology, Human Factors Engineering, or related fields. * Experience designing and running experiments with human subjects. * Past cross-functional collaboration with other researchers and engineers to invent and develop interesting research ideas. * You are passionate about developing and applying human-centered artificial intelligence for social good. * You are a reliable team player. You like to think big and go deeper. You care about openness and delivering with integrity. * Experience with machine learning is a plus. * Experience with devices to measure physiological signals is a plus (e.g., EDA, heart rate).Experience with eye-tracking devices is a plus. The pay range for this position at commencement of employment is expected to be between $45 and $65/hour for California-based roles. Base pay offered may vary depending on multiple individualized factors, including, but not limited to, business or organizational needs, market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package including vacation and sick time. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. Please reference this Candidate Privacy Notice to inform you of the categories of personal information that we collect from individuals who inquire about and/or apply to work for Toyota Research Institute, Inc. or its subsidiaries, including Toyota A.I. Ventures GP, L.P., and the purposes for which we use such personal information. TRI is fueled by a diverse and inclusive community of people with unique backgrounds, education and life experiences. We are dedicated to fostering an innovative and collaborative environment by living the values that are an essential part of our culture. We believe diversity makes us stronger and are proud to provide Equal Employment Opportunity for all, without regard to an applicant's race, color, creed, gender, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, medical condition, religion, marital status, genetic information, veteran status, or any other status protected under federal, state or local laws. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records for employment. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Adobe seeks a Machine Learning Engineer to enhance customer experiences through AI and generative technologies. This is an exciting internship opportunity inside Adobe Firefly's applied research organization. You will be surrounded by amazing talents who build the Firefly family of models from research inception all the way to production. We offer internship roles situated at different stages of the development pipeline from fundamental research to advanced development to production engineering directly shaping the training and integration of Firefly production models. Your role will center on pioneering data, models, applications and scientific evaluation that shape the future of technology in the realms of images, videos, language and multimodal models. Join us in reshaping the future of technology and customer experiences at Adobe! What You'll Do Work towards results-oriented research goals, while identifying intermediate achievements. Contribute to research and advanced development that can be applied to Adobe product development. Help integrating novel research work into Adobe Firefly product. Lead and collaborate on projects across different teams. What You Need to Succeed Currently enrolled full time and pursuing a Master's or PhD in Computer Science, Computer Engineering, Electrical Engineer or related fields.1 + years of experience in computer vision or natural language processing or machine learning Some experience in Generative AI Experience communicating research to public audiences of peers. Experience working in teams. Knowledge in Python and typical machine learning development toolkits. Ability to participate in a full-time internship between May-September. If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $61.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

About the Team Join a world-class team at the forefront of AI and biochemistry. At Genesis Molecular AI, we're a tight-knit team of proven deep learning researchers, software engineers, and drug discovery pioneers. Our shared mission is nothing short of revolutionary: to forge the next generation of AI foundation models that will unlock groundbreaking therapies for patients with severe diseases. We don't just apply machine learning to biology; we are conducting fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field. You will work side-by-side with top multidisciplinary researchers to design and build generative foundation models at scale, having access to ample compute and large-scale simulations. About the Role This is an opportunity to operate as a full member of our research team for the duration of your internship. You will be paired with a mentor and get hands-on experience building and testing models at the forefront of generative AI. Your high-impact project will likely involve working with our foundation models and could touch on cutting-edge areas like diffusion models, large language models (LLMs), or reinforcement learning. We're looking for exceptional students passionate about applying their technical skills to challenging research problems and contributing directly to our mission. You Will * Contribute to a high-impact research project by building models, running experiments, and analyzing results for a key scientific challenge in generative AI. * Turn research ideas into high-quality code, implementing and optimizing multi-modal models and algorithms from the latest literature. * Design and run experiments at scale to validate promising approaches and hypotheses. * Present your work and findings to the team, contributing to our collaborative research environment. You Are * Currently enrolled in a Bachelor's or Master's program in Computer Science, Machine Learning, or a related technical field. * A skilled and agile coder with a passion for writing clean, efficient, and reliable code. * A curious and tenacious problem-solver, excited to tackle complex technical challenges. * Eager to learn about the intersection of AI and biochemistry and the drug discovery process. What we offer * A high-impact project, not a toy problem. Your work is chosen to have a direct line of sight to advancing our core scientific platform. * Dedicated mentorship from a senior researcher or engineer on our team who will partner with you, guide your project, and champion your growth. * Deep immersion in a world-class team. You'll join our paper discussions, research talks, and social events, becoming a true member of the Genesis AI team. The team reads and discusses 1-2 ML or chemistry papers every week to stay on top of the field and inspire new ideas. About Genesis Molecular AI Genesis Molecular AI is pioneering foundation models for molecular AI to unlock a new era of drug design and development. The company's generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. Genesis has raised over $300 million from leading AI, tech and life science-focused investors, signed multiple AI-focused research collaborations with major pharma partners, and is deploying GEMS to advance an internal therapeutics pipeline for a variety of high-impact targets. Genesis is headquartered in Burlingame, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.

The Media Analytics Department of NEC Labs America at San Jose, California, is seeking the next generation of thought leaders in computer vision and machine learning for research internships in Summer 2026. Our interns work closely with the research team to explore creative directions with a potential for high impact in industry and the broader community.

Work Model: Onsite Duration: September 2025 - December 2025 At SK hynix America, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK hynix America, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. Responsibilities: * Demonstrate feasibility of AI system with advanced memory solutions (HBM, CXL memory) * Design next-generation AI and HPC systems that utilize advanced memory solutions to optimize performance and power efficiency. * Derive design requirements for advanced memory solutions based on your extensive experience in AI and HPC infrastructure design. * Excellent in reading research papers and implementing them to code Qualifications: * Accepted or currently enrolled in a PhD program in Computer Science or a related STEM field * Ph.D. in a relevant field with research experience in AI systems (LLM, GNN) * Hands-on experience with ML/DL frameworks like TensorFlow/Keras or PyTorch * Excellent programming skills in Python, CUDA, and C * Strong knowledge of a memory-storage IO path, including GPU-direct and CXL/PCIe specification Housing Allowance: Eligible interns will receive a housing allowance during their internship. Equal Employment Opportunity: SKHYA is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type without regard to race, sex, pregnancy, sexual orientation, religion, age, gender identity, national origin, color, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. Compensation: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. Pay within the provided range varies by work location and may also depend on job-related skills and experience. Your Recruiter can share more about the specific salary range for the job location during the hiring process. Pay Range $25-$47 USD

About this opportunity Align Technology, Inc. (the maker of Invisalign aligners) is looking for a Research Scientist Intern. The Research Scientist Intern will be responsible for assisting the Emerging Technology team. He/she will work closely on individual research projects focusing on new electrochemical biosensor development while assisting ongoing research and development projects. The position is located at Align's corporate headquarters in San Jose, California, and is for a full-time role starting in the summer 2026. In this role, you will… § Assist research scientists in laboratory benchtop testing. § Perform laboratory benchtop test to evaluate product performance. § Analyze and perform statistical data analysis and interpretation. Duties will also include general engineering support in R&D. Collaborate with a cross-functional team in product development and test plans. Participate in weekly project update meetings and present data, findings, and conclusions to the team. Work in a fast-paced environment and meet critical deadlines. In this role, you'll need … To be a student currently pursuing a Bachelor's or Master's in Chemistry, Biophysics, Bioengineering, or related scientific disciplines. Hands-on experience with laboratory benchtop testing. Team player with excellent written and verbal communication skills. Responsibilities may be quite diverse of a technical nature. Excellent problem-solving skills, thoroughness, and attention to detail. Ability to collaborate effectively with cross-functional team members. Strong interpersonal, oral, written, and visual communication skills, with the ability to present findings concisely and effectively. Familiarity with software packages for data processing and analysis (e.g. MATLAB, Python, Minitab, Excel). .

Who We Are BioMarin is a global biotechnology company that relentlessly pursues bold science to translate genetic discoveries into new medicines that advance the future of human health. Since our founding in 1997, we have applied our scientific expertise in understanding the underlying causes of genetic conditions to create transformative medicines, using a number of treatment modalities. Using our unparalleled expertise in genetics and molecular biology, we develop medicines for patients with significant unmet medical need. We enlist the best of the best - people with the right technical expertise and a relentless drive to solve real problems - and create an environment that empowers our teams to pursue bold, innovative science. With this distinctive approach to drug discovery, we've produced a diverse pipeline of commercial, clinical and preclinical candidates that have well-understood biology and provide an opportunity to be first-to-market or offer a substantial benefit over existing therapeutic options. About Worldwide Research and Development From research and discovery to post-market clinical development, our WWRD engine involves all bench and clinical research and the associated groups that support those endeavors. Our teams work on developing first-in-class and best-in-class therapeutics that provide meaningful advances to patients who live with genetic diseases. SUMMARY: The BioMarin Summer Internship Program will enable students to gain valuable experience and knowledge of the processes and systems within BioMarin, while gaining an insight into the pharmaceutical/biotech industry. Over the course of 10 - 12 weeks our interns gain industry experience while working alongside our talented team on meaningful projects. BioMarin's Research & Development (R&D) group is responsible for everything from research and discovery to post-market clinical development. Research & Development involves all bench and clinical research and the associated groups that support those endeavors. Our teams work on developing first-in-class or best-in-class therapeutics that provide meaningful advances to patients. Come join our team and make a meaningful impact on patients' lives. Within R&D, we have an opening for a motivated Summer Intern to join our Skeletal and CNP Therapeutic Area Analytical Group. This internship offers a unique opportunity to gain hands-on experience by working on a laboratory-based project that supports and contributes to drug development. JOB DESCRIPTION/PROJECT: * Work closely with a scientist on a dedicated research project * Gain practical experience in molecular biology, analytical and biochemical assays * Apply laboratory techniques, which may include immunoassays, microscopy, imaging, PCR/qPCR, immunohistochemistry (IHC), immunofluorescence (IF), and other staining techniques * Design, conduct, and interpret experiments * Present project updates at group meetings and project summary to the broader department at the end of the summer. Responsibilities * Conduct bench experiments under the guidance of a scientist mentor * Apply techniques such as immunoassays, microscopy and imaging, PCR/qPCR, IHC, IF, and other analytical techniques * Maintain detailed records of experimental design, procedures, and results in electronic laboratory notebooks. * Participate in group discussions and present project updates, including a final project summary to the broader department at the end of summer. Theoretical knowledge: * Microscopy and imaging techniques * Immunohistochemistry (IHC), immunofluorescence (IF), and other analytical techniques * Mammalian cell culture * PCR/qPCR * Immunoassays * Other molecular and biochemical assays Qualifications/Eligibility: * Student pursuing a bachelor's degree in scientific discipline * Must be returning to school in the Fall Term OR has graduated within the 1 year of the start of the program. * Must be available to work full time, 40 hours a week. * Must be currently enrolled as a full-time student at an accredited U.S. based university or college and enrolled in the fall term after the completion of the internship OR have graduated within 1 year of the start of the program. * Must be able to relocate if necessary and work at the designated site for the duration of the internship for on-site, hybrid roles. Benefits of a BioMarin Internship: * Paid hourly wage, paid company holidays, and sick time * Apply skills and knowledge learned in the classroom to on-the-job experiences * Comprehensive, value-added project(s) * Develop skills specific to your major. * Opportunities for professional development by building relationships and learning about other parts of the business. * Participate in company all hands meetings, monthly community lunches * Corporate office amenities such as: 24/7 on-site gym, coffee truck, snacks * Access to Employee Resource Groups Note: This description is not intended to be all-inclusive, or a limitation of the duties of the position. It is intended to describe the general nature of the job that may include other duties as assumed or assigned. Equal Opportunity Employer/Veterans/Disabled An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. In the U.S., the salary range for this position is