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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.

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

Play a part in building the next revolution in machine learning technology. We're looking for passionate researchers to work on ambitious, curiosity-driven, long-term research projects. In this role, you'll have the opportunity to work on innovative foundational research in machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues. You should have a strong research background in machine learning or related fields, with a proven record of publications in leading machine learning conferences and journals. In this role, you will have the opportunity to define and pursue a research agenda focused on solving fundamental problems related to data-centric ML and AI agents, such as synthetic data generation, enhancing planning and reasoning capabilities of ML models. You will focus on producing high-quality, reproducible research and advancing our understanding of these areas through rigorous experimentation and close collaboration with colleagues. You will also develop high-quality code, provide technical mentorship, and prepare publications and presentations for top-tier venues. Additionally, you will have opportunities to collaborate with broader teams across Apple. Ability to formulate a research problem and design, experiment, implement, and communicate solutions. Ability to work in a diverse, collaborative environment. High-quality open-source contributions to related projects. PhD or equivalent practical experience in Computer Science or a related technical field. Strong presentation skills for internal and external communications Demonstrated expertise in machine learning research Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, NAACL, etc.) Strong hands-on experience working with Python and deep learning toolkits such as PyTorch Strong mathematical skills in linear algebra and statistics

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.

About the Team The Applied Machine Learning Enterprise AI Foundation US team drives the design, development, and operation of MaaS solutions in US and rest of world overseas of mainland China. We are a product team that builds full stack end-to-end solutions covering text and multi-modality LLM algorithms, prompting engineering, LLM model alignment, and intelligent agents, etc. for a wide range of application domains. We build products that facilitate development of LLM applications and landing into production. We are actively seeking talented Software and Algorithm Engineers specializing in prompt engineering, RAG, multi-agents, post-train, RL, Robotics to join our team. In this role, you will be at the forefront of cutting-edge research and development of advanced techniques for LLM solutions including model fine-tuning, evaluation, inference, alignment, prompt engineering, intelligent agent, etc. To ensure we have the ability to run current and future models at increasingly high scale with unprecedented efficiency. Responsibilities: - lead the creation of next-generation, high-capacity LLM platforms and innovative products. - work closely with cross-functional teams to plan and implement projects harnessing LLMs for diverse purposes and vertical domains. - maintain a deep passion for contributing to the success of large models is essential in this innovative and fast-paced team environment. Minimum Qualifications: - Ph.D./Master in Computer Science, Data Science, Artificial Intelligence, or a related field. - Strong understanding of cutting-edge LLM research (e.g., long context, multi modality, alignment research, agent ecosystem, etc.) and possess practical expertise in effectively implementing these advanced systems. - Proficiency in programming languages such as Python, Rust, or C++ and a track record of working with deep learning frameworks (e.g., pytorch, deepspeed, megatron, vllm, etc.). - Strong understanding of distributed computing framework & performance tuning and verification for training/finetuning/inference. Being familiar with PEFT, RL, MoE, CoT or Langchain is a plus. Preferred Qualifications: - Excellent problem-solving skills and a creative mindset to address complex AI challenges. Demonstrated ability to drive research projects from idea to implementation, producing tangible outcomes. - Published research papers or contributions to the LLM community would be a significant plus. - Experience with inference tuning and Inference acceleration. Have a deep understanding of GPU and/or other AI accelerators, experience with large scale AI networks, pytorch 2.0 and similar technologies. - Experience with large scale machine learning systems' scheduling and orchestration, familiar with Kubernetes and Docker. - Experience with evaluation of AI systems, LLM application & agent development is desirable.

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.

Hudson River Trading (HRT) is hiring an AI Researcher to join the HAIL team. HAIL (HRT AI Labs) is the team at HRT responsible for developing and maintaining our most powerful models, which are used by our trading teams to drive a significant fraction of our trading. We are building and deploying "foundation models for markets", that ingest and train on vast amounts of market data, to make predictions about future market state. We are seeking experienced AI researchers to join our team to accelerate our efforts. Researchers have great independence to pursue the research directions they think would be most impactful as part of a small focused team with minimal bureaucracy. They are enabled by state-of-the-art research clusters with very high GPU-to-researcher ratios, and supported by excellent engineering, hardware, and systems teams to realize their vision. Your work will be directly, clearly, highly impactful on the business, and it will be challenging: this is a field with no easy or obvious solutions. You'll be responsible for improving every part of our models: from featurization of data, to architecture design, to training dynamics, to how trading decisions are made. Qualifications Must have two or more years work experience in deep learning research, for any domain: robotics, biology, chemistry, physics, audio, video, etc. Experience translating methods between areas of application is highly valued. LLM experience is valuable, but not necessary. Strong engineering skills valued, especially any of: GPU kernel development, lower-level Pytorch/JAX development, intermediate C++, FPGA/ASIC experience, HPC experience. The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company's retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations. Culture Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We're a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization-from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we're friends and colleagues - whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office. Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we'd love to get to know you. Please be advised: Use of AI tools during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used during any stage of the hiring process, we reserve the right to immediately disqualify your candidacy or rescind any job offers extended.

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 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 tactile sensinf and contribute to the development of emerging technology.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. **Required Skills:** Research Scientist Intern, Tactile Sensing (PhD) Responsibilities: 1. Propose novel tactile sensing system architectures to achieve high performance and high durability for Robotics 2. Design tactile sensing systems and build prototypes 3. Characterize the tactile sensing system and experiment with practical use cases 4. Collaboration with and support of other researchers across various disciplines 5. Communication of research agenda, progress and results **Minimum Qualifications:** Minimum Qualifications: 6. Currently has or is in the process of obtaining a Ph.D. degree in the fields of Electrical Engineering, Computer Science, Biomedical Engineering or related field 7. Experience in one or more types of tactile sensors such as resistive, capacitive, piezoelectric, or optical 8. Experience in analog/mixed signal circuit design 9. Experience in PCB design and testing 10. Experience in hardware system prototyping 11. Experience in signal processing 12. Simulation and modeling experience with scripting languages such as Python, Matlab 13. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 14. 3+ years of experience in hardware design 15. Experience in tactile sensing system design and prototyping 16. Experience in sensor interfaces such as MIPI, I2C, I3C, SPI, etc 17. Experience with integrated circuit design CAD tools such as Cadence Virtuoso 18. 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 ISSCC, JSSC, VLSI, CVPR, ICRA, RSS, IJRR, T-RO 19. Intent to return to degree program after the completion of the internship/co-op **Public Compensation:** $7,313/month to $12,134/month + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

This candidate will focus on benchmarking social intelligence of the AI-native collaboration models and designing socio-cognitive rewards for training. We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (****************************************** Og4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (*********************************************************************************************** . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: *************************************************** . Skills and Requirements Referral Candidates Referral Candidates

Join our client's Research and Development (AI/ML Team) in Redmond, where innovation meets impact. Their team is at the forefront of AI research, specialising in cutting -edge advancements in Large Language Models (LLMs) and generative AI. They offer a dynamic, collaborative environment where visionary researchers drive transformative projects with real -world impact. What You'll Do As an AI Researcher, you will: Conduct pioneering research on LLMs, focusing on architecture, training, optimization, and fine -tuning methodologies. Design and implement advanced data preparation workflows, including data cleaning, augmentation, and synthetic data generation. Develop scalable training pipelines for LLMs using distributed computing and state -of -the -art optimization algorithms. Explore multi -modal AI systems, integrating LLMs with other data types such as vision and audio. Publish high -impact research in top -tier journals and conferences like IEEE, enhancing the field of AI. Mentor junior researchers, sharing best practices to inspire impactful AI innovations. Stay at the cutting edge of LLM advancements, fostering continuous learning and innovation within the team. RequirementsRequired Qualifications: Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with research emphasis on NLP, LLMs, or generative AI. Demonstrated expertise in training and fine -tuning large -scale language models (e.g., GPT, BERT, T5). Strong publication record in IEEE or equivalent journals/conferences related to LLM training, data preparation, or synthetic data generation. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX. Hands -on experience in large -scale data processing and distributed training techniques. Preferred Qualifications: Experience with RAG and multi -modal AI systems. Expertise in domain -specific LLM fine -tuning and data augmentation. Familiarity with synthetic data generation tools and platforms like Apache Spark or Dask. Proven leadership and mentoring abilities in a research settings. BenefitsWhat Our Client Offers Competitive Salary: Reflective of your expertise and experience. Cutting -Edge Infrastructure: Access to state -of -the -art computational resources for large -scale AI model training. Professional Growth: Opportunities to publish in prestigious venues and collaborate with leading AI experts. Real -World Impact: Be a part of transformative AI projects shaping industries. Comprehensive Benefits: Robust health coverage, retirement plans, and more. Why Join Our Client? By joining, you will: Lead groundbreaking research in the field of LLMs and generative AI. Collaborate with a team of industry -leading AI researchers. Drive innovation in a supportive and dynamic environment. Contribute to projects with significant societal and industrial implications. Next Steps Ready to revolutionize the future of AI? Apply today! Applications will be reviewed on a rolling basis. Location This position is based in Redmond. Equal Opportunity We value diversity and are committed to creating an inclusive environment for all employees.

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 Express empowers users to seamlessly construct striking designs, whether they are novices or experienced engineers, on a user-friendly platform improved by groundbreaking AI capabilities. The AI Foundations team sits at the core of this vision, driving innovation to make Adobe Express smarter, faster, and more adaptive! By developing modular, reusable AI systems and crafting a robust Horizon AI Stack, this team will play a pivotal role in transforming creative workflows. Joining this team means crafting the future of creativity, solving complex engineering challenges, and delivering scalable AI solutions that redefine what is possible in design! What You'll Do * Build innovative machine learning models that drive Agentic and other Generative AI scenarios for Adobe Express. * Develop and deploy advanced ML models in areas such as computer vision, NLP, and multimodal learning. * Contribute to foundational AI systems for intelligent assistance, layout automation, image generation, and motion storytelling. * Design and build modular ML components that integrate into Adobe's Horizon AI Stack and serve multiple creative workflows. * Drive the end-to-end ML lifecycle-from experimentation to evaluation, optimization, and production deployment. * Collaborate closely with Adobe Research, engineering, and product teams to bring AI-powered features to life. * Design evaluation strategies using a combination of automated metrics, LLM based judges, and user feedback. Basic Qualifications * Masters, or PhD (preferred) in Computer Science, Computer Engineering, Data Science, Machine Learning, or a related field with equivalent experience. * Strong programming skills and proficiency in ML frameworks such as PyTorch, TensorFlow, or JAX. * Experience with modern ML architectures including transformers / visual transformers, diffusion models, or GANs. * Experience with cloud platforms, MLOps and deploying ML systems in production at scale. * Be able to quickly read, understand and prototype relevant research papers. Preferred Qualifications * Experience with Large Language Models and model adaptation techniques (Ex: PEFT, SFT, RL etc.) * Familiarity with agent-based systems, intelligent assistants, or planner-based AI. * Experience in creative, imaging, or multimedia domains. * Publications in renowned ML/CV/AI conferences (e.g., NeurIPS, CVPR, ICML, SIGGRAPH). What You Need to Succeed * Passion for creativity and learning with a drive to improve solutions. * Be up to date with the latest and greatest in AI Research. * Comfortable working in a fast, iterative and ambiguous environment. * Strong communication skills with the ability to explain technical ideas and experiment results clearly. * Collaborative spirit with a focus on product impact, AI / ML innovation and engineering excellence. 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 $102,400 -- $202,250 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $139,700 - $202,250 In Washington, the pay range for this position is $127,700 - $185,000 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. 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 Jan 31 2026 12:00 AM If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. 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 **************.

1. General - Job Title: UX Researcher 2 - Type: Contract - Level: Mid -Level - Location: West Coast (PST) - Workplace: Remote - Duration: ASAP to TBA (Waiting for budget) 2. About the job - How do you uncover user insights and identify new product/service opportunities? - How do you collaborate with PM and design teams to address stakeholder challenges? - How do you design and execute a research program that meets organizational needs? - How do you analyze research data and influence product design? - How do you stay up -to -date with new technologies and user needs? Do such questions intrigue you? 3. Summary of the opportunity - Client Overview: Our client is a leading technology company in the data industry, providing a suite of cloud data products and services. - Role Summary: As a UX Researcher 2, you will work closely with senior team members to understand the motivations, workflows, and habits of data professionals. Your expertise will inform the strategy, design, and growth of the cloud data suite, using a multi -methods approach, combining quantitative and qualitative research methods with big data analysis. 4. What are the key responsibilities? - Collaborate with a high -performing UX Research team, conducting qualitative and quantitative research activities. - Foster relationships with PM and design teams to address stakeholder challenges. - Conduct research to inform product design, such as usability studies, interviews, surveys, and more. - Align research program with organizational priorities and success criteria. - Present research findings to influence product design and direction. 5. What experience are we looking for to drive success? - MUST -Have Skills and Qualifications: - Minimum 3+ years of experience conducting UX research in technical domains. - Ability to analyze research data and present findings clearly. - Passion for learning new technologies and understanding user needs. - Growing communication and project management skills. - Ability to meet security screening requirements. - Preferred Skills and Qualifications: - Advanced degree in Social Science or Human -Computer Interaction. - Experience impacting and influencing business decisions. - Strong storytelling and communication skills. - Leadership skills to deliver projects and customer insights. - Experience with global research and stakeholders. 6. So calling all top performers - Exciting Opportunity: This role presents an exciting opportunity to contribute to impactful projects and initiatives while honing your skills in UX research within a dynamic technology company. - Competitive Compensation: Competitive hourly rate offered. - Application Process: To apply for this role, please email your resume, highlighting your relevant experience and qualifications to [Email Address]. Please ensure that your application provides accurate information. - About this posting: This description has been designed to indicate the general nature and level of work performed by employees within this position. The actual duties, responsibilities, and qualifications may vary based on assignment. - Equal Employment Opportunity: We are committed to diversity and inclusion, have a non -discrimination policy, and encourage diverse candidates to apply. We ensure accessibility and accommodation for all applicants. In conclusion: Don't miss out on this exciting opportunity to join our team and make a meaningful impact! Apply today! Please feel free to drop in your resume at ***************

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.

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.

Job Description Talus Bioscience is seeking highly motivated summer interns to join our team! These paid summer internships provide opportunities to own and participate in challenging and impactful business-critical projects at a thriving biotech start-up! Internships are approximately 3-months (summer) in duration and the roles are performed on-site at our Seattle, WA laboratory under the supervision of PhD scientists. Relocation assistance benefits are not available for this job posting. Interns will participate in all lab meetings and team meetings, as well as Talus Bio social and team-building events. All positions require excellent communication and interpersonal skills, and successful candidates will complement our culture and align with our core values. At the end of the internship, interns will present their project to the entire company. Internship Description: The Drug Discovery team is seeking a summer intern to participate in research and drug discovery in the area of Oncology. The successful candidate will learn and apply cellular/molecular biology to validate targets and hits as well as screen compounds coming from our proteomics platform. The intern in this role will be expected to make intellectual as well as technical contributions to the team. Target Applicant: Undergraduate or graduate student with 2+ years of lab experience; preferred majors: cell biology, cancer biology, molecular biology or biochemistry [Note: this internship is available only to those with legal authorization to work in the US] Status: Full-time role (40 hours/week); hourly (non-exempt) position Required Skills and Experience: Biology-related research experience especially in RT-qPCR assays, basic knowledge of molecular and cancer biology or cancer pharmacology-related fields Assignments: Work with the team to learn and conduct studies using in vitro & cell-based assays, as well as preparing samples for evaluation with our proteomics platform Job Posted by ApplicantPro

About the Role We're looking for an experienced Staff / Senior Staff Research Scientist to push the boundaries of applied machine learning and AI at Opendoor. While this role will have a significant impact on our valuation systems - ensuring we provide the most accurate and transparent pricing possible - the scope goes well beyond pricing. You'll work across a range of challenging ML problems, from multi-modal modeling to operational optimization, helping us rethink how we use structured and unstructured data to make better decisions for our customers. What You'll Need Strong software engineering and coding skills in Python, with experience contributing to production codebases 9+ years of experience developing and deploying ML models end-to-end - from research and prototyping to implementation in production systems Hands-on experience with deep learning architectures, including ConvNets, Transformers, or similar Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field Solid foundation in statistics and experimental design Strong communication and collaboration skills - you're comfortable working with cross-functional stakeholders and can communicate technical ideas clearly Nice to Have Familiarity with Pyspark and distributed data processing Background in search, recommendation systems, or personalization Experience working with large language models (LLMs) or vision-language models (VLMs) A genuine interest in real estate - no prior experience required, but you'll engage deeply with housing data What You'll Do Design and deploy architectural improvements to our deep neural network (DNN)-based home valuation models Build interpretable ML models that can help us explain pricing decisions to customers Incorporate unstructured data - like images, videos, or text - into our forecasting and valuation pipelines using cutting-edge AI models (LLMs, VLMs, etc.) Collaborate with Engineering and Ops to enhance our human-in-the-loop pricing systems Improve the feature engineering and model training pipelines that power our production systems Rethink our risk and optimization models using real-world data and domain insight We're a small, nimble team - there's ample opportunity to work across the entire research and modeling stack. Compensation The base pay range for this position is $238,400 - $327,800 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees. At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We've built an end-to-end online experience that has already helped thousands of people and we're just getting started.

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.