Researcher jobs in Renton, WA - 1,073 jobs

A leading technology company in Seattle is seeking a researcher to work on state-of-the-art LLM technologies for applications in AI. This role involves innovating in the field of AI research, particularly focusing on integrating various data types into systems. Ideal candidates should possess a PhD or Master's in related fields and be experienced in programming and machine learning. The company offers competitive compensation based on market rates, from $136,000 to $223,400 per year, alongside a range of benefits. #J-18808-Ljbffr

Founding Research Scientist - Generative Video 📍 Seattle, WA (Onsite, 5 days/week) | 💼 Full-time About the Founders Founded by a collective of PhD researchers from leading global universities (Apple, Stanford & Oxford PhD Alumni) with backgrounds at top AI labs and major technology companies, combining deep theoretical insight with proven large-scale product execution. About the Company Our client is a stealth-mode AI startup creating breakthrough technology at the intersection of perception, learning, and expression. The team's mission is to build intelligent systems that can observe and interpret subtle human cues - visual, vocal, and behavioral - to enable natural, emotionally aware digital interaction. They're developing foundational models that unify multiple input streams to make communication between humans and machines feel effortless and authentic. Role Overview This position is ideal for a scientist who thrives at the boundary of research and product impact. As the Founding Research Scientist for Generative Video, you'll lead experimentation on advanced video generation methods, designing architectures that model motion, timing, and realism at scale. You'll have freedom to explore new diffusion-based approaches, define metrics for visual fidelity and consistency, and bring early-stage research into practical real-time applications. Key Responsibilities Design and implement generative video models that synthesize realistic movement, depth, and texture. Develop scalable pipelines for dataset creation, model training, and system evaluation. Explore diffusion, transformer, and temporal modeling techniques to enhance continuity and expression. Partner with engineers and scientists across modalities (speech, text, vision) to integrate outputs into unified frameworks. Evaluate model behavior, benchmark performance, and publish findings where appropriate. Transition promising prototypes into production-ready, low-latency systems. Required Background PhD or comparable experience in Machine Learning, Computer Vision, or Graphics. Proven expertise in video or 3D generative modeling, preferably using diffusion or transformer architectures. Strong applied experience with PyTorch, JAX, or similar toolkits. Understanding of data curation, distributed training, and large-scale evaluation. Publications, patents, or open-source contributions demonstrating research excellence. Self-directed mindset with enthusiasm for rapid iteration and open-ended discovery. What Makes This Unique Early technical ownership in shaping the research roadmap of a deep-tech organization. Opportunity to work on high-impact, unexplored problems in real-time generative media. Close collaboration with a multidisciplinary team of machine learning, vision, and graphics experts. Competitive compensation, strong equity participation, and top-tier backing from investors in applied AI.

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.

At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. At Boeing, we are all innovators on a mission to connect, protect, explore and inspire. From the seabed to outer space, you'll learn and grow, contributing to work that shapes the world. Find your future with us. Launch your career with Boeing, celebrated by WayUp as a Top 100 Internship Program in the US for 2025! We are seeking motivated, enthusiastic, and innovative students to join our 2026 intern program. As an intern at Boeing, you'll gain hands-on experience, learn from experts, and collaborate with teams that do truly amazing things. Over the course of our 10-12 week internship experience you will have the opportunity to: Work directly with a mentor in your field of study while finding solutions to real world problems Experience our products up close by touring our state-of-the-art manufacturing and research facilities Interact directly with our company leaders to discuss strategy and the future of Boeing Build a lasting professional network through social events and engaging activities Gain the skills and knowledge to become a future leader in the aerospace industry Join our exclusive Graduate Researcher Program (GRP) in Boeing Technology Innovation during the Summer of 2026 and you can build something better for yourself, for our customers and for the world. Boeing Technology Innovation is Boeing's global research and development team creating and implementing innovative technologies that make the impossible possible and enable the future of aerospace. We are engineers, skilled scientists, thinkers, bold innovators and dreamers. What is Graduate Researcher Program? The GRP (Graduate Researcher Program) is a unique 10-12 week internship program designed specifically for students pursuing their PhD. GRP is a hybrid experience of real-world industry work experience combined with development programming that exposes students to Boeing, its products, services and its people. GRP focuses on deeply connecting students to their team and Boeing through work experience across multiple summers with the goal of ultimately offering a full-time position at the conclusion of academic studies if a mutual fit is achieved. How GRP Works: GRP host teams post opportunities aligned with Boeing needs in hopes of matching to top PhD talent. Upon application and selection, successful applicants receive an offer to spend the following summer with the host team. The program aims to provide interns with a valuable opportunity to gain deeper experience at Boeing with their host team, while applying academic skills and expertise to help solve real-world industry challenges and opportunities. In addition to industry work exposure, students will attend GRP programming to further broaden their experience and knowledge of Boeing. GRP programming includes: mentorship in your field of study, weekly Featured Speaker Talks , a week-long in-person GRP Summit , participation in an Innovation Challenge , and other opportunities to interact and build a professional network with other GRP students, Boeing team members, and leadership. Please note: The work you do at Boeing can be related to your area of study, but cannot contribute or be used in your PhD thesis. Who we are looking for: We are seeking students who will have completed their first year of study in their PhD program by July 2026 and are passionate about the aerospace industry and Boeing. GRP students excel at quickly adapting to their roles, analyzing complex problems, and developing innovative solutions. They thrive in collaborative team environments and possess excellent communication skills. Above all, they are driven to contribute to the success of their team, fellow GRP students, and Boeing. 2026 GRP Position: This GRP position will be hosted in Boeing Commercial Airplanes (BCA) in the Flight Sciences division. Flight Engineering is at the very heart of product-level design, integration and support. We work at every phase of the product lifecycle, from initial concept to fleet support. We define requirements, do detailed design, analyze configurations, integrate across many disciplines, certify the product and provide fleet support. We are the experts who apply skills ranging from computational fluid dynamics to flight and wind tunnel testing to weight forecasting and performance assessments to aeroservoelastics and vibroacoustics and to sales support. Do you have an appetite for innovating and defining the future of flight? Are you curious and have excellent interpersonal skills? Are you comfortable in a dynamic environment and enjoy life-long learning? Join us in Flight Engineering! Support development of CFD solver code development. Focus on Finite Element solver development, meshing, and supporting engineers using the applications. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Employer will not sponsor applicants for employment visa status. Basic Qualifications (Required Skill/Experience): Completed the first year of PhD studies by July 2026. Pursing a PhD in Aeronautical/Aerospace Engineering, Computer Engineering/Science, or Math Experience with Aero CFD modeling equations, discretization, and implementation of algorithms Experience with in numerical programming with parallelization and CPU/GPU coding knowledge Ability to write low level algorithms in C++ and interfaces with Python Enrolled student attending a college or university with an expected graduation date on or after August 2026 Ability to work full-time for 10-12 weeks during Summer 2026 Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Union: This is a union-represented position. Shift: This role is primarily first shift; however, there may be additional shift requirements to support program objectives. Relocation: This position offers relocation based on candidate eligibility. At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $89,000 Applications for this position will be accepted until Jan. 30, 2026 Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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 * 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.

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.

Join Collaborative Robotics this summer as an AI Research Engineer Intern, and evaluate modern AI/ML approaches for bimanual robotic manipulation. You'll be part of a small research team focused on understanding how recent AI/ML methods perform on real hardware - identifying where it succeeds, where it struggles, and what practical adjustments might help. This will involve reading and writing code, reading academic papers, and running experiments to evaluate and present results. This role is well-suited for strong undergraduate seniors or graduate students (M.S. or Ph.D.) who want hands-on exposure to ML software engineering for robotics and experience training models on physical robots in an industry setting. This role is located at our Seattle, WA office. This is a full time, 3-month (12-week) internship running June-August 2026. The application deadline for this role is January 11th, 2026. Interviews will take place mid-late January 2026. Key Responsibilities: * Review and present learnings from ML research papers on robotic manipulation. * Evaluate and augment code to probe the strengths and weaknesses of research methods. * Train ML models. * Contribute to data collection. * Take part in team standups and demos, to see how industry research is conducted. Minimum Qualifications: * Currently enrolled in a master's or PhD program, or in the final year of an undergraduate program, in a relevant scientific discipline (e.g., Computer Science, AI/ML, Mathematics, Physics, Engineering, or a related field). * Demonstrated capability in software engineering, including Python proficiency. * Experience with implementation of ML research models and methods. * Eagerness to learn and collaborate with others. * Highly motivated teammate with excellent oral and written communication skills. * Enjoy working in a fast paced, collaborative and dynamic start-up environment as part of a small team. * Able to work full-time (around 40 hours/week) onsite in Seattle, WA for the duration of the internship. * Must have and maintain US work authorization. Preferred Qualifications: * Understanding of imitation learning, reinforcement learning, transformer models, and diffusion models. * Published papers in relevant ML / robotics fields. * Open-source contributions to ML / robotic learning code projects. The non-exempt hourly range for this intern position is $40-$45/hr. Our ranges are determined by role and experience level. The range reflects the minimum and maximum target for intern rates for the position in Santa Clara, CA. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Cobot is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics. To all recruitment agencies: Cobot does not accept agency resumes. Please do not forward resumes to our employees. Cobot is not responsible for any fees related to unsolicited resumes.

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.

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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 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-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.

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.

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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.

Meta is seeking Research Interns to join Fundamental AI Research (FAIR) Multimodal Foundations teams. These teams are committed to advancing the field of Artificial Intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as Natural Language Processing, Audio and Speech processing, Computer Vision, Machine Learning, Deep Learning, and Reinforcement Learning. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our teams are looking for candidates with expertise in the Natural Language Processing & Multimodality domains, such as: machine translation, speech translation, natural language understanding and generation, computer vision, language modeling, pretraining and post-training, low-resource NLP, question answering, dialogue, cross-lingual and cross-domain transfer learning, and multimodal understanding, reasoning and generation. Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit ****************************** Minimum Qualifications * Currently has or is in the process of obtaining a PhD degree in the field of Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or equivalent * Research and/or work experience in Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Deep Learning, or equivalent * Experience in Python, C++, or other related languages * Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment Preferred Qualifications * Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Speech & Language (ACL, EMNLP, NAACL, TACL, ICASSP, Interspeech, SLT, ASRU, TASLP) * Experience advancing AI techniques in Natural Language Processing, including contributions to open source libraries and frameworks in Speech & Language * Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Computer Vision (CVPR, ECCV, ICCV) or Machine Learning (NeurIPS, ICML, ICLR) * Experience advancing AI techniques in Computer Vision and/or Machine Learning * 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 * Intent to return to degree-program after the completion of the internship/co-op Responsibilities * Perform research that enables learning the semantics of data (specifically text, audio, images, video, and other modalities) * Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem * Develop novel solutions, implement prototypes, and perform extensive experiments to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions * Draft and polish research reports and/or publications * Present research outcomes to internal and/or external audiences * Contribute 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.

Business UnitWhat the Role Entails Responsibilities: 1. Serve as a domain expert in computer vision and collaborate with researchers from other modalities to drive cutting-edge research in native multimodal foundation models, including novel architecture design and modeling for “2D + time” and “3D + time” scenarios. 2. Explore the training and design of large models for understanding and generating representations of the physical world, multimodal reasoning, and self-evolving continual learning. 3. Stay up to date with the latest advancements in academia and industry; actively participate in international conferences and workshops, and engage with leading global research teams. 4. Contribute impactful research outcomes to the open-source community or transfer technologies to internal product teams. Who We Look For Qualifications: 1. Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Computer Vision, Machine Learning, or a related field. 2. Proven multi-modal research experience in relevant areas, with familiarity with state-of-the-art technologies and a strong publication record in top-tier conferences or journals such as CVPR, ICCV, ECCV, NeurIPS, ICLR, or ICML. 3. Proficiency with mainstream open-source tools and frameworks relevant to the field, and strong engineering skills to support research implementation; candidates with influential GitHub projects or contributions to high-impact open-source communities are preferred. 4. Strong team spirit and ability to collaborate across disciplines, excellent communication skills, intellectual curiosity, and a goal-oriented, problem-solving mindset. Location State(s) US-Washington-BellevueThe expected base pay range for this position in the location(s) listed above is $122,500.00 to $229,700.00 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.