Researcher jobs in Redmond, WA - 1,089 jobs

The main function of a usability researcher is to research market conditions in local, regional, or national areas to determine potential sales of a product or service. A typical marketing analyst is responsible for gathering information on competitors and methods of marketing and distribution. Minimum 4 years' experience with qualitative and quantitative research methods. Minimum 4 years' experience with data analysis and interpretation. Minimum 4 years' experience with human-computer interaction (HCI) and UX principles. Job Responsibilities: • Forecast and track marketing and sales trends, analyzing collected data. • Conduct research on consumer opinions and marketing strategies, collaborating with marketing professionals, statisticians, pollsters, and other professionals. • Devise and evaluate methods and procedures for collecting data, such as surveys, opinion polls, or questionnaires, or arrange to obtain existing data. • Gather data on competitors and analyze their prices, sales, and method of marketing and distribution. • Measure the effectiveness of marketing, advertising, and communications programs and strategies. Skills: • Verbal and written communication skills, negotiation skills, customer service and interpersonal skills. • Basic ability to work independently and manage one's time. • Basic knowledge of principles and methods for showing, promoting, and selling products or services. • Basic knowledge of media production, communication and dissemination techniques and methods. Education/Experience: • Bachelor's degree in marketing or equivalent training required. • 5-7 years related experience required.

Team Introduction The TikTok General Architecture team sits at the intersection of business and infrastructure, responsible for designing and optimizing the planet-scale business architecture that supports billions of users worldwide. Our mission is to embrace AI, build the most advanced business architecture infrastructure, establish public trust and compliance, focus on resource management and cost optimization, user experience and reliability, engineering quality, and development efficiency. Here, you will not only experience how technology directly empowers top-level business, but also deepen your technical expertise in planet-scale architecture research and engineering practices-transforming cutting-edge theory into real-world production solutions. Join us in exploring and driving the evolution of the next-generation planet-scale business architecture! We are looking for talented individuals to join us for an internship in 2026. PhD Internships at TikTok aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. 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: * Contribute to research and optimization of TikTok's planet-scale business architecture, supporting billions of users, globally distributed ultra-large-scale data centers, and microservice clusters with millions of services. * Assist in data modeling and algorithmic optimization to address key challenges in large-scale infrastructure and business architecture, including but not limited to capacity forecasting and planning, service and data placement optimization, traffic scheduling optimization, and risk prediction. * Under the guidance of mentors, transform research insights into prototypes, tools, or frameworks, and explore their applicability in selected business scenarios. * Participate in analyzing research data, summarizing experimental results, and contributing to academic publications in top-tier conferences/journals. * Collaborate with architecture, platform, and business teams to understand real-world production challenges and explore potential optimization opportunities.Minimum Qualifications: * Currently pursuing a PhD in Computer Science, Software Engineering, Systems Engineering, Operations Research, Applied Mathematics, or related fields. * Solid research background in distributed systems, large-scale system optimization, or AI for Systems. * Able to commit to working for 12 weeks during Summer 2026 * Strong problem-solving skills with the ability to model planet-scale, complex business and infrastructure systems, abstract key variables and constraints, and clearly articulate solutions through rigorous logical reasoning and effective communication. * Familiarity with optimization algorithms such as integer programming, dynamic programming, graph optimization, heuristic search, or reinforcement learning, with the ability to apply them to large-scale optimization problems. * Proficiency in at least one mainstream programming language (e.g., Go, Java, C++, Python), with the capability to build research prototypes. * Ability to quickly learn and deeply understand complex architectural patterns, while leveraging AI tools and automation methods to improve research and development efficiency. Preferred Qualifications: * Experience in data modeling and analysis for large-scale systems or business architectures. * Research publications or submissions to top-tier conferences/journals such as OSDI, SOSP, NSDI, SoCC, SIGCOMM, KDD, NeurIPS. * Hands-on project experience in distributed systems, resource scheduling, or architecture optimization (including academic projects or previous internships). * Familiarity with performance and optimization challenges in cross-data-center or cross-region architectures. 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.

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-Washington-BellevueThe expected base pay range for this position in the location(s) listed above is $149,000.00 to $279,800.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.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.

Team Introduction SDN team builds cross-layer intelligence that enables hyper-scale datacenter interconnection. The team is responsible for developing network traffic control and bandwidth management systems, network emulation and verification models and tools that empower highly available, secure and scalable datacenter networks and global backbone network infrastructure. We are looking for talented individuals to join us for an internship in 2026. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at ByteDance. PhD internships at ByteDance 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: - Engage in research and development efforts on Network Verification platforms (encompassing emulation, Control Plane Verification, and Data Plane Verification) to support network operators and architects in designing, operating, maintaining, and troubleshooting ByteDance's large-scale data center networks. - Conduct development and research work on Network Traffic Engineering platforms to optimize global traffic control and network bandwidth management. Minimum Qualifications: • Currently pursuing a PhD in Computer Science, Computer Engineering, or a related technical discipline. • Proficiency in using one or several mainstream programming languages Go,C++, Python, has the ability to develop distributed software. • Quick learning and adaptability; perseverance and spirit of studying technical details; good at communication and exchange • Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications: • Demonstrated networking research experience from previous internship, work experience or publications. . Research area related optimization, network traffic engineering or network verification. • High levels of creativity and quick problem-solving capabilities

Meta's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Meta are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started. Our team at Meta Reality Labs is dedicated to exploring new technologies and integrating them into custom image sensors. As an intern, you will have the opportunity to work on projects that push the boundaries of what is possible in the field of image sensors and contribute to the development of AR/VR devices. Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year. Minimum Qualifications * Currently has or is in the process of obtaining a Ph.D. degree in the fields of Electrical Engineering, Computer Science, or related field * Research experience in one or more of the following aspects of Image Sensors: Device physics and fabrication, Analog/mixed signal circuit design, Imaging systems (camera, ISP, algorithm) * Experience with analog/mixed-signal circuit design CAD tools such as Cadence Virtuoso * Successful tape-out and hands-on bench testing experience * Simulation and modeling experience with scripting languages such as Python, Matlab * Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment Preferred Qualifications * 3+ years of experience in circuit design * Tape out experience with advanced technology nodes * Image signal processing experience (noise reduction, HDR processing) * Proven track record of achieving significant results as demonstrated by grants, or fellowships, as well as first-authored publications in major conferences and journals such as IISW, IEDM, VLSI, ISSCC, JSSC, TED Responsibilities * Investigate and propose novel pixel architectures and sensor architectures * Perform pixel schematic/layout design and simulation in advanced process nodes * Architect and design readout and processing circuits to achieve ultra-low power consumption * Characterize image sensors and experiment with new image sensor operation schemes * Collaboration with and support of other researchers across various disciplines * Communication of research agenda, progress and results 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.

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 Centific Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem-comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets-to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster. Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets. About Job Internship: AI Safety, Jailbreaking Attacks & Defense, Agentic AI, Human Behavior (Ph.D. Research Intern) Company: Centific Location: Seattle, WA (or Remote) Type: Full-time Internship Build the Future of Safe and Responsible AI Are you advancing the frontiers of AI safety, LLM jailbreak detection and defense, and agentic AI-with publications to show for it? Join us to translate pioneering research into robust security and trustworthy LLM systems that resist adversarial and behavioral exploits. The Mission We're tackling cutting-edge AI safety across adversarial robustness, jailbreak defense, agentic workflows, and human-in-the-loop risk modeling. As a Ph.D. Research Intern, you'll own high-impact experiments from concept to prototype to deployable modules, directly contributing to our platform's security guarantees. What You'll Do Advance AI Safety: Design, implement, and evaluate attack and defense strategies for LLM jailbreaks (prompt injection, obfuscation, narrative red teaming). Evaluate AI Behavior: Analyze and simulate human-AI interaction patterns to uncover behavioral vulnerabilities, social engineering risks, and over-defensive vs. permissive response tradeoffs. Agentic AI Security: Prototype workflows for multi-agent safety (e.g., agent self-checks, regulatory compliance, defense chains) that span perception, reasoning, and action. Benchmark & Harden LLMs: Create reproducible evaluation protocols/KPIs for safety, over-defensiveness, adversarial resilience, and defense effectiveness across diverse models (including latest benchmarks and real-world exploit scenarios). Deploy and Monitor: Package research into robust, monitorable AI services using modern stacks (Kubernetes, Docker, Ray, FastAPI); integrate safety telemetry, anomaly detection, and continuous red-teaming. Example Problems You Might Tackle Jailbreaking Analysis: Systematically red-team advanced LLMs (GPT-4o, GPT-5, LLaMA, Mistral, Gemma, etc.), uncovering novel exploits and defense gaps. Multi-turn Obfuscation Defense: Implement context-aware, multi-turn attack detection and guardrail mechanisms, including countermeasures for obfuscated prompts (e.g., StringJoin, narrative exploits). Agent Self-Regulation: Develop agentic architectures for autonomous self-check and self-correct, minimizing risk in complex, multi-agent environments. Human-Centered Safety: Study human behavior models in adversarial contexts-how users probe, trick, or manipulate LLMs, and how defenses can adapt without excessive over-defensiveness. Minimum Qualifications Ph.D. student in CS/EE/ML/Security (or related); actively publishing in AI Safety, NLP robustness, or adversarial ML (ACL, NeurIPS, BlackHat, IEEE S&P, etc.). Strong Python and PyTorch/JAX skills; comfort with toolkits for language models, benchmarking, and simulation. Demonstrated research in at least one of: LLM jailbreak attacks/defense, agentic AI safety, human-AI interaction vulnerabilities. Proven ability to go from concept → code → experiment → result, with rigorous tracking and ablation studies. Preferred Qualifications Experience in adversarial prompt engineering, jailbreak detection (narrative, obfuscated, sequential attacks). Prior work on multi-agent architectures or robust defense strategies for LLMs. Familiarity with red-teaming, synthetic behavioral data, and regulatory safety standards. Scalable training and deployment: Ray, distributed evaluation, CI/telemetry for defense protocols. Public code artifacts (GitHub) and first-author publications or strong open-source impact. Our Stack (you'll touch a subset) Modeling: PyTorch/JAX, Hugging Face, OpenMMLab, Mistral, LLaMA Safety: Red-teaming frameworks, LLM benchmarking (SODE, ART), human behavior simulation Systems: Python, Ray, Kubernetes, Docker, FastAPI, Triton, Weights & Biases Defense Pipelines: Context-aware filtering, prompt manipulation detection, anomaly telemetry What Success Looks Like A publishable outcome (with company approval) or production-ready module measurably improving safety KPIs: adversarial robustness, over-defensiveness, and incident response latency. Clean, reproducible code with documented ablations and end-to-end rerun reports for safety benchmarks. A demo that communicates capabilities, limits, and next steps in defense and security assurance. Why Centific Real Impact: Your research ships-directly securing our core features and AI infrastructure. Mentorship: Collaborate with Principal Architects and senior researchers in AI safety and adversarial ML. Velocity + Rigor: Balance high-quality research with mission-critical product focus. How to Apply Email your CV, publication list/Google Scholar, and GitHub (or code artifacts/videos) to with the subject line: “AI Safety - Ph.D. Research Intern” Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem-comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets-to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster. Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets. About Job Internship: AI Safety, Jailbreaking Attacks & Defense, Agentic AI, Human Behavior (Ph.D. Research Intern) Company: Centific Location: Seattle, WA (or Remote) Type: Full-time Internship Build the Future of Safe and Responsible AI Are you advancing the frontiers of AI safety, LLM jailbreak detection and defense, and agentic AI-with publications to show for it? Join us to translate pioneering research into robust security and trustworthy LLM systems that resist adversarial and behavioral exploits. The Mission We're tackling cutting-edge AI safety across adversarial robustness, jailbreak defense, agentic workflows, and human-in-the-loop risk modeling. As a Ph.D. Research Intern, you'll own high-impact experiments from concept to prototype to deployable modules, directly contributing to our platform's security guarantees. What You'll Do * Advance AI Safety: Design, implement, and evaluate attack and defense strategies for LLM jailbreaks (prompt injection, obfuscation, narrative red teaming). * Evaluate AI Behavior: Analyze and simulate human-AI interaction patterns to uncover behavioral vulnerabilities, social engineering risks, and over-defensive vs. permissive response tradeoffs. * Agentic AI Security: Prototype workflows for multi-agent safety (e.g., agent self-checks, regulatory compliance, defense chains) that span perception, reasoning, and action. * Benchmark & Harden LLMs: Create reproducible evaluation protocols/KPIs for safety, over-defensiveness, adversarial resilience, and defense effectiveness across diverse models (including latest benchmarks and real-world exploit scenarios). * Deploy and Monitor: Package research into robust, monitorable AI services using modern stacks (Kubernetes, Docker, Ray, FastAPI); integrate safety telemetry, anomaly detection, and continuous red-teaming. Example Problems You Might Tackle * Jailbreaking Analysis: Systematically red-team advanced LLMs (GPT-4o, GPT-5, LLaMA, Mistral, Gemma, etc.), uncovering novel exploits and defense gaps. * Multi-turn Obfuscation Defense: Implement context-aware, multi-turn attack detection and guardrail mechanisms, including countermeasures for obfuscated prompts (e.g., StringJoin, narrative exploits). * Agent Self-Regulation: Develop agentic architectures for autonomous self-check and self-correct, minimizing risk in complex, multi-agent environments. * Human-Centered Safety: Study human behavior models in adversarial contexts-how users probe, trick, or manipulate LLMs, and how defenses can adapt without excessive over-defensiveness. Minimum Qualifications * Ph.D. student in CS/EE/ML/Security (or related); actively publishing in AI Safety, NLP robustness, or adversarial ML (ACL, NeurIPS, BlackHat, IEEE S&P, etc.). * Strong Python and PyTorch/JAX skills; comfort with toolkits for language models, benchmarking, and simulation. * Demonstrated research in at least one of: LLM jailbreak attacks/defense, agentic AI safety, human-AI interaction vulnerabilities. * Proven ability to go from concept → code → experiment → result, with rigorous tracking and ablation studies. Preferred Qualifications * Experience in adversarial prompt engineering, jailbreak detection (narrative, obfuscated, sequential attacks). * Prior work on multi-agent architectures or robust defense strategies for LLMs. * Familiarity with red-teaming, synthetic behavioral data, and regulatory safety standards. * Scalable training and deployment: Ray, distributed evaluation, CI/telemetry for defense protocols. * Public code artifacts (GitHub) and first-author publications or strong open-source impact. Our Stack (you'll touch a subset) * Modeling: PyTorch/JAX, Hugging Face, OpenMMLab, Mistral, LLaMA * Safety: Red-teaming frameworks, LLM benchmarking (SODE, ART), human behavior simulation * Systems: Python, Ray, Kubernetes, Docker, FastAPI, Triton, Weights & Biases * Defense Pipelines: Context-aware filtering, prompt manipulation detection, anomaly telemetry What Success Looks Like * A publishable outcome (with company approval) or production-ready module measurably improving safety KPIs: adversarial robustness, over-defensiveness, and incident response latency. * Clean, reproducible code with documented ablations and end-to-end rerun reports for safety benchmarks. * A demo that communicates capabilities, limits, and next steps in defense and security assurance. Why Centific * Real Impact: Your research ships-directly securing our core features and AI infrastructure. * Mentorship: Collaborate with Principal Architects and senior researchers in AI safety and adversarial ML. * Velocity + Rigor: Balance high-quality research with mission-critical product focus. How to Apply Email your CV, publication list/Google Scholar, and GitHub (or code artifacts/videos) to with the subject line: "AI Safety - Ph.D. Research Intern" Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

The Department of Astronomy at the University of Washington is seeking applications for a postdoctoral research position in high-redshift extragalactic astronomy. The successful candidate will join the research group led by Prof. Arianna Long, using multiwavelength observations to study the formation and evolution of massive galaxies in the early cosmos. Successful applicants may work on a variety of different projects and datasets, including data from the JWST COSMOS-Web Treasury Program, the ALMA 2mm Ex-MORA Program, and the CHAMPS 1mm Program. Candidates with expertise in JWST and/or ALMA image manipulation, spectral energy distribution fitting, hot/warm/cold dust in distant galaxies, and/or measuring spatially resolved galaxy properties are especially encouraged to apply, though consideration will be given to a wide range of specialties. In addition to conducting research, the ideal candidate will also have a passion for mentoring and supporting the development of undergraduate and graduate students. Appointments are 100% FTE for 24 months, renewable for an additional 12 months subject to approval and availability of funding. The base salary range for this position is $5705-$6167 per month, and will be commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination. Postdoctoral scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website. Applicants are required to hold a Ph.D. or foreign equivalent degree in Astronomy, Physics, or related fields at the start of the position. Nominal start date is in Fall 2025, but earlier/later dates are negotiable.

Our team's mission is to empower content interaction and creation using CV related technologies. We focus on cutting-edge R&D in areas like video understanding, multimodal understanding, image and video synthesis, 3D vision and intelligent editing. We are looking for Research Interns in the area of computer vision and machine learning at all levels at TikTok. We are looking for talented individuals to join us for an internship in 2026. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at ByteDance. PhD: PhD internships at ByteDance 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 This internship provides students the opportunity to join one of our engineering teams where you will have the opportunity to: * Build new features that touch hundreds of millions of people around the world * Solve unique, large-scale, highly complex technical problems * Build the next-generation monetization platform to help millions of customers grow their businesses * Work with your mentor to deliver product features and make engineering improvements * Build world-class web applications that combine usability, accessibility, elegance, performance, and maintainability * Conduct cutting-edge research and development in computer vision, machine learning and other related fields * Work with Research Scientists to deliver advanced technologies to TikTok products Minimum Qualifications: * Able to commit to working for 12 weeks during Summer 2025 * Currently pursuing a PhD in Computer Science or a related technical discipline. * Strong track record of research in one or more areas of computer vision, computer graphics and machine learning, preferring candidates with publications in top-tier venues such as SIGGRAPH/SIGGRAPH Asia, CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR. * Highly competent in algorithms and programming. * Work and collaborate well with team members. * Ability to work independently. * Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualifications: * Graduating December 2025 onwards with the intent to return to degree program after the completion of the internship. * Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications. * High levels of creativity and quick problem-solving capabilities. 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** + Currentlyenrolled in an undergraduate degree program. Relevant fieldsinclude:Relevant fieldsinclude:Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, ora relatedprogram. + Proficiencyin 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), asevidencedby academic, project, or professional work. + Understanding ofmachine 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. 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.

Business UnitWhat the Role Entails 1.Conduct research and development of Omni multimodal large models, including the design and construction of training data, foundational model algorithm design, optimization related to pre-training/SFT/RL, model capability evaluation, and exploration of downstream application scenarios. 2.Scientifically analyze challenges in R&D, identify bottlenecks in model performance, and devise solutions based on first principles to accelerate model development and iteration, ensuring competitiveness and leading-edge performance. 3.Explore diverse paradigms for achieving Omni-modal understanding and generation capabilities, research next-generation model architectures, and push the boundaries of multimodal models. Who We Look For 1.Bachelor's degree (full-time preferred) or higher in Computer Science, Artificial Intelligence, Mathematics, or related fields; graduate degrees are prioritized. 2.Hands-on experience in large-scale multimodal data processing and high-quality data generation is highly preferred. 3.Solid foundation in deep learning algorithms and practical experience in large model development; familiarity with Diffusion Models and Autoregressive Models is advantageous. Publication in top-tier conferences or experience in cross-modal (e.g., audio-visual) research is preferred. 4.Proficiency in underlying implementation details of deep learning networks and operators, model tuning for training/inference, CPU/GPU acceleration, and distributed training/inference optimization; practical experience is a plus. 5.Participation in ACM or NOI competitions is highly valued. 6.Strong learning agility, communication skills, teamwork, and curiosity. Location State(s) US-Washington-BellevueThe expected base pay range for this position in the location(s) listed above is $134,900.00 to $253,400.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.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.

Team Introduction Virtual Network-US team focuses on the research and development of ByteDance network virtualization infrastructure, especially focusing on hardware accelerated technologies covering both central gateways and host networking scenarios. The Network division focuses on building large-scale and highly available cloud & AI networking infrastructure, which supports both ByteDance public cloud products and its corporate products such as Douyin & TikTok. We are looking for talented individuals to join us for an internship in 2026. Internships at ByteDance aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at ByteDance. PhD internships at ByteDance 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: -Develop key hardware acceleration technologies to optimize our central gateway & host networking components. -Work with academia and open source communities on joint development. -Follow the latest technologies from academia and industry and conduct deep-dive analysis. -Present our research and products in academic papers. Minimum Qualifications: - Currently pursuing a PhD in computer networking or a related technical discipline. - Experience with at least one of the following areas: - P4 programming on Tofino switch and/or Pensando DPU - NPL programming on TD4 or TD5 - C programming with DPDK - RDMA protocols and AI networking - Commit to proactive continuous learning, demonstrate enthusiasm for networking fields, and exhibit a strong ability to quickly grasp and apply new technologies. - Good communication and teamwork skills. Preferred Qualifications: -Frequent contributors or maintainers in networking related open source communities. -Having top tier networking conference publications such as NSDI or SIGCOMM.

Meta AI is currently seeking Research Scientist interns. Our team creates spoken language technology to make it faster and easier for people to build community and connect with others around the world. We conduct product-motivated research in ML/AI and design, develop and deploy state-of-the-art algorithms to the rest of Meta. We work in all aspects of AI for speech and audio processing, with a primary focus on speech with large language models (LLM) to power various speech-LLM-based products. As a Research Scientist Intern, you will help us develop innovative models and algorithms and apply them to large-scale production speech tasks. Our teams at Meta AI offer twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. Minimum Qualifications * Currently has, or is in the process of obtaining a PhD degree in the field of Computer Science, Artificial Intelligence, Natural Language Processing, or related field * Research and/or work experience in machine learning, deep learning, and speech technology * Experience with training deep neural networks for key speech tasks such as speech recognition, speech translation, speech synthesis, speaker diarization, sentiment analysis, acoustic event recognition, wake word, scene understanding, etc * Experience in Python * Experience in deep learning frameworks (PyTorch, Tensorflow, etc) * Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment Preferred Qualifications * Proven track record of achieving results as demonstrated by grants, fellowships, patents, as well as first-authored publications at workshops or conferences such as Interspeech, ACL, ICASSP or similar * Experience working on speech LLMs * Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources * Experience working and communicating cross functionally in a team environment * Intent to return to a degree-program after the completion of the internship/co-op Responsibilities * Perform research to advance the science and technology of intelligent machines. * Develop novel and accurate speech algorithms and systems, leveraging deep learning and machine learning on big data resources. * Contribute research that can be applied to Meta product development. * Analyze and improve efficiency, scalability, and stability of various deployed systems. * Collaborate with team members from prototyping to production. 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.

The Trust and Safety algorithm team is responsible for developing state-of-the-art computer vision, NLP and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related regulations. With the continuous efforts from our team, TikTok is able to provide the best user experience and bring joy to everyone in the world. We are looking for talented individuals to join us for an internship in 2026. PhD Internships at TikTok aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. In our team, you will have the opportunity to participate in the development of the cutting-edge content understanding model to help improve the recognition ability of violated content in TikTok, and will also be responsible for optimizing our distributed model training framework continuously. 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 1. Develop computer vision model or multimodality model to recognize violation content in TikTok 2. Explore cutting-edge multimodal or computer vision large models (CLIP, COCA, ALBEF, BLIP, Flamingo, ViT-G, ViT-22B, EVA-enormous, etc) 3. Explore the application of LLM in our business scenarios, like pre-training, zero-shot/ few-shot learning, hard case mining, etc 4. Continuously optimize the training framework to better adapt to the training of large models.Minimum Qualifications: 1. PhD candidate in computer science or a related technical discipline 2. Related Research Experience at least one of the following areas: computer vision, multimodality, LLM 3. Be proficient with at least one deep learning framework (e.g. PyTorch, TensorFlow) 4. Have excellent analytical and problem-solving skills, logical thinking skills, communication and collaboration skills Preferred Qualifications: 1. Published papers in the top AI conferences or journals is a plus, including CVPR, ICCV, ECCV, NIPS, ICML, ICLR, TPAMI, IJCV, etc By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: ****************************************

Business Unit What the Role Entails Tencent AI Lab is dedicated to advancing cutting-edge AI technologies, with a particular focus on innovative breakthroughs in large foundation models and Agents. We are currently seeking researchers in Agents, with an emphasis on developing stable and efficient scalable RL framework and algorithms. The final position level will be determined based on the candidate's experience and accomplishments. 1. Conducting cutting-edge algorithm research, with a focus on the design and optimization of scalable RL frameworks and algorithms for Agents with various environments, including Web Agent, GUI Agent. Research areas include but are not limited to RL Algorithms, Reward Modeling, World Models, GUI Agent, and Web Agent. 2. Conduct large-scale experiments of technology and algorithm innovations in scenarios such as autonomous agents and self-improving agents, deliver impactful algorithms for real world applications, and publish influential research papers. Who We Look For 1. Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related fields from a top university. 2. Experience of working in leading global companies in the field of large foundation models. 3. Proficient in Python programming and experienced in developing with deep learning frameworks such as PyTorch or TensorFlow. 4. Strong academic background, with publications in top-tier conferences such as NeurIPS, ICLR, ICML, ACL, EMNLP; experience in deep learning research or engineering projects. 5. Excellent communication and teamwork skills, capable of collaborating with cross-functional teams to drive project success and innovation. Location State(s) US-Washington-Bellevue The expected base pay range for this position in the location(s) listed above is $134,900.00 to $253,400.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year. 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 AI for Science team has been focusing on tackling challenges in natural sciences, including biology, physics, and materials, with computational tools such as Machine Learning, Computational Chemistry, High-throughput Computation. Our goal is to create breakthroughs in natural science with new methodology and help the world. We are looking for talented individuals to join us for an internship in 2026. PhD Internships at ByteDance aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. PhD internships at ByteDance 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: - Stay up to date with cutting-edge research and collaborate with the team to develop a broad and in-depth understanding of key technical domains. - Apply interdisciplinary approaches-combining machine learning, quantum chemistry, molecular dynamics, and other methods-to explore novel applications in biology and materials science. - Integrate internal and external research outcomes to drive real-world implementation of research achievements and create widespread impact. Minimum Qualifications: - Currently pursuing a PhD in Machine Learning, Computational Materials Science, Computational Biology, or a related field. - Strong understanding of machine learning algorithms, with extensive hands-on experience and software development knowledge. - Proven track record of publications in high-impact, peer-reviewed scientific journals. - Demonstrated ability to conduct independent and innovative research; capable of thriving in a fast-paced, interdisciplinary environment. - Excellent teamwork and interpersonal communication skills, with the ability to convey complex ideas effectively. Preferred Qualifications: - AI force field models and atomic/molecular foundational models - Molecular dynamics enhanced sampling algorithms integrated with generative models - Design of biomolecules or material molecules - Deep engineering optimization and acceleration of AI-driven molecular dynamics simulations By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: *******************************************

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Facebook offers countless ways to make an impact in a fast growing organization. Meta is seeking Research Scientist Interns to join the Products and Applied Research team. We are committed to advancing the field of generative AI by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as generative AI, deep learning, computer vision and natural language processing. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. Minimum Qualifications * Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Artificial Intelligence, or relevant technical field * Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment * Experience in C, C++, Python, Java, or other related programming language * Experience building systems based on machine learning and/or deep learning methods Preferred Qualifications * Intent to return to degree-program after the completion of the internship/co-op * Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and ACL * Experience with Generative AI, including diffusion models and LLM's * Background in advancing AI techniques in computer vision, including core contributions to open source libraries and frameworks in computer vision * Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science * Experience solving analytical problems using quantitative approaches * Experience setting up ML experiments and analyze their results * Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources * Experience in utilizing theoretical and empirical research to solve problems * Experience working and communicating cross functionally in a team environment Responsibilities * Perform research to advance the science and technology of generative AI. * Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities). * Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results. * Devise better data-driven models of image generation and text generation. * Publish research results and contribute to research that can be applied to Meta product development. 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.