Research internship jobs in Spanaway, WA - 620 jobs

Seattle, Washington, United States Machine Learning and AI The System Intelligence Machine Learning (SIML) organization is looking for Research Engineers with a strong foundation in Machine Learning and Computer Vision to develop the next generation of multi-modal Human Sensing technologies. You will be part of a fast-paced, impact-driven Applied Research organization building foundation models for facial and full-body perception, and working on cutting-edge machine learning that is at the heart of the most loved features on Apple platforms including Apple Intelligence, Camera, Photos, Visual Intelligence, etc. These innovations form the foundation of the seamless, intelligent experiences our users enjoy every day! Description As a Machine Learning Research Engineer, you will be responsible for designing and developing cutting-edge AI/ML models for Human Sensing, with a focus on building robust cross-domain identity recognition systems. Multi‑modal Human Sensing is a foundational capability that powers intelligent experiences based on key human traits such as identity, expression, clothing, action, gesture, gaze and human‑object interaction. Major Apple Intelligence experiences such as personalized Natural Language Search, Memories Creation, as well as personalized Image Generation are powered by our ability to learn robust representations of visual human traits. Efficient real‑time visual human sensing powers flagship Photography experiences such as Cinematic mode and Photographic Styles, communication experiences such as Center Stage, and paves the way for more natural human‑device interactions, e.g., with the DockKit framework. YOUR PRIMARY RESPONSIBILITIES WILL INCLUDE: Designing, implementing, and deploying state‑of‑the‑art visual recognition systems. Building foundation models for facial and full‑body perception. Driving data quality excellence through strategic dataset curation, validation, and generation to support world‑class model development. Building tools and frameworks for systematic failure analysis, identifying edge cases, and driving continuous model improvement. Directly interacting with all cross‑functional stakeholders to gather product requirements and translating these into actionable plans for ML research and development. Effectively communicating results and insights to partners and senior leaders, providing clear and actionable recommendations. Staying current with the latest trends, technologies, and standard methodologies in machine learning, multi‑modal foundation models, computer vision and natural language understanding. Actively contributing to Apple's ML community by disseminating research ideas and results, enhancing shared infrastructure, and mentoring fellow practitioners. Minimum Qualifications Master's or Ph.D. in Computer Science, Computer Engineering, or related fields; or equivalent professional experience in ML research and development. Proficient in Python, PyTorch or equivalent deep learning frameworks. Proven track record of designing and implementing solutions using modern ML architectures. Background in research and innovation, demonstrated through publications in top‑tier journals or conferences, patents, or impactful software developments. Preferred Qualifications Expert‑level knowledge of state‑of‑the‑art methods in face recognition or other facial analysis and biometric systems. Hands‑on experience training multi‑modal large language models. Experience with on‑device ML, model optimization, or production ML systems. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

A defense technology company is seeking an experienced AI Engineer to work on their Lattice software platform. This role involves developing and improving machine learning algorithms, working with cross-functional teams to solve complex problems, and pushing AI solutions into production. The ideal candidate holds a BS in a related field with over 5 years of relevant experience. A competitive salary range of $220,000 - $292,000 USD is offered along with comprehensive benefits including healthcare and professional development. #J-18808-Ljbffr

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 Join ByteDance's database R&D team, where you'll build and own cutting-edge database products supporting ByteDance's global infrastructure. Our diverse portfolio includes relational databases, distributed caches, key-value stores, document databases, graph databases, wide-column stores, search engines, and multi-model databases. About the Role We are building the next-generation AI-native database systems-intelligent, multimodal, and designed for the era of large models. Our systems are not just data stores; they're reasoning engines, retrieval platforms, and real-time memory for AI agents. As a Software Engineer or Researcher, you will be at the forefront of rethinking how databases work when built from the ground up for AI workloads. You'll help create infrastructure that powers intelligent systems across TikTok, CapCut, and future applications that haven't been imagined yet. We are looking for talented individuals to join us for an internship in 2026. PhD Internships at ByteDance aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. PhD internships at ByteDance provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date). Summer Start Dates: - May 11th, 2026 - May 18th, 2026 - May 26th, 2026 - June 8th, 2026 - June 22nd, 2026 Responsibilities - Develop kernel modules or features for AI-native database systems. - Solve unique, large-scale, highly complex cloud infrastructure problems - Partner with PMs and engineers from different teams on building backend support for AI-native database service products - Participate in technical discussions related to team's product and engineering work Minimum Qualification(s): - Currently pursuing a PhD in Computer Science, Computer Engineering, or other related fields - Knowledge of database kernel, distributed system, query processing and optimization, multi-threaded programming - Experience coding in C/C++, Golang, Java, Python - Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. Preferred Qualification(s): - Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications. - Curiosity towards new technologies and entrepreneurship. - High levels of creativity and quick problem-solving capabilities. - Experience with open-source systems such as Faiss, Milvus, DuckDB, ClickHouse, TiKV, RocksDB. - Publications at top-tier conferences (e.g., SIGMOD, VLDB, NeurIPS, MLSys, ICDE). - Familiarity with GCP, AWS, or Azure's database and AI integration strategies. - Prior contributions to RAG, memory-augmented models, or self-tuning database components.

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.

AI Lab at Seattle Area Tencent is a leading internet company in China. Tencent AI Lab at Seattle Area was established in May 2017. The lab strives to continuously improve AI's capability in perception, cognition, and creativity. Researchers there aim at solving challenging real-world problems with advanced technologies and publish extensively at top conferences and journals.Research Internship - Agent Tencent AI Lab is dedicated to advancing cutting-edge AI technologies, with a particular focus on innovative breakthroughs in large foundation models. The lab's long-term ambition is to drive the development of Artificial General Intelligence (AGI), and ultimately, Artificial Superintelligence (ASI). We are currently seeking research interns in Agents, with an emphasis on developing stable and efficient scalable RL framework and algorithms for our Seattle area office located at Bellevue WA for the year 2026. Every research intern will work with researchers on a research project aimed at attacking one of the core problems on the design and optimization of scalable RL frameworks and algorithms for self-improving 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. Who We Look ForRequirements & Qualifications The ideal intern candidates are those who Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related fields from a top university, are self-motivated and excited about developing novel techniques, have research experiences in natural language processing or machine learning, are proficient in Python programming and experienced in developing with deep learning frameworks such as PyTorch. have good publication track records and history of creativity and intellectual flexibility, have excellent communication and teamwork skills, capable of collaborating with cross-functional teams to drive project success and innovation. Intern duration: 3 months (with the possibility of extension). Can start any time in the year 2026. Location State(s) US-Washington-BellevueThe expected base pay range for this position in the location(s) listed above is $80,169.00 to $120,000.14 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. This position will be eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Subject to the terms and conditions of the applicable plans then in effect, full-time interns are also eligible to enroll in the Company-sponsored medical plan.Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

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 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.

Program Description In October 2021, Washington Emergency Care Physicians (WECP) proudly opened the first Pacific Northwest-based emergency medicine post graduate program for advance practice providers (APPs). The Program is specifically designed for physician assistants and nurse practitioners who are interested in a life-long career in emergency medicine with training sites in the Puget Sound through Tacoma Emergency Care Physicians (TECP), a subsidiary of WECP. Program Objectives To provide exceptional training and experience for APP professionals to have a successful career in any emergency department setting. To prepare candidates well for recognized emergency medicine APP examinations (NCCPA-CAQ for physician assistants, AANPCB Boards for nurse practitioners) Curriculum Fifteen (15) months program duration with over 3000 hours of post graduate training Close to 2400 hours of clinical training Over 300 hours of didactics to include over an introductory bootcamp followed my weekly activities that include conferences, meetings, case presentations, ultrasound training, procedure lab or simulation. Over 400 hours of independent study to include case review & presentation preparation, assigned CME and readings, and scholarly research project. Expected commitment of 50 hours per week of the above activities Phased Training with increasing levels of expected competency and confidence. Post Graduate APP 0: Pre-Boot Camp: 37 hours of on-line Emergency Medicine CME months before start of Program Boot Camp: First 2 weeks at start of Program Post Graduate APP 1: Six (6) months of ED clinical shifts in low acuity zones Post Graduate APP 2: Two and half (2.5) months of external rotations - Trauma (4 wks), Peds UCC & ED(4 wks), Ophthalmology/Critical Care/Interventional Rad(1.5 wks), Vacation(1wk) Post Graduate APP 2: Six (6) months of ED clinical shifts in high acuity zones Continuing Medical Education Required 150+ CME hours (provided and paid for by Program) Original EM Boot Camp on-line course, to be completed before start of program EMRAP subscription for duration of program DynaMed subscription ATLS, PALS Faculty Advisor & Mentor will be assigned to each post graduate candidate Regularly scheduled monthly meetings with Faculty Advisor Advisor to monitor progress and identify strengths/areas of improvement Advisor with candidate will develop individualized plan to ensure continued growth and development Senior Post Grad APPs are expected to mentor Junior Postgrads. Two (2) classes per year Fall - October 1st with 2 candidates Spring - April 1st with 2 candidates Training Locations All sites are part of MultiCare Health Systems Puget Sound: MultiCare Tacoma General (Level 2 Trauma, primary cardiac & stroke), Allenmore (Level 4 Trauma), and Covington Hospitals Admission requirements Must have graduated from an accredited PA/NP school Must be certified/licensed in Washington State after 4 weeks of starting program Must be able to evaluate and treat both pediatric and adult patients Must be willing to relocate to the Puget Sound for duration of program. Must be ACLS and PALS certified for duration of program Compensation & Benefits Salary: $65,780 per year ($82,150 for the 15-month Term) Reimbursement for licensing, certification, credentialing fees Benefits: medical and dental insurance, short-term disability insurance, 80 hours of PTO Eligible for retirement benefits if permanently hired after completion of program How to Apply Submit you most current Curriculum Vitae on ******************************************** Submit personal statement explaining why you are applying to the program along with your long-term professional goals Send three (3) letters of recommendation to the Program Director - to be sent directly from the authors of the letters. At least one letter must be from school director or faculty. Send your PA/NP school transcripts to the Program Director. Selected applicants will be asked to participate in an initial interview using a virtual video conference format. From those, applicants will be further selected to advance to a secondary in-person interview in Tacoma, WA Application Timeline Preliminary interviews will be scheduled once submitted application is completed (which include Letters of Recommendation) Spring class: please submit application with LORs by June 1st (10 months prior to start) Fall class: please submit application with LORs by December 1st (10 months prior to start). Frequently Asked Questions Weblink Contact Information Jaime Delcampo, MD, FACEP Program Director ***************************** ************** Cody Balogh, PA-C Assistant Program Director ************************** Joe Montgomery, PA-C Core Faculty/ Advisor ******************************** Amanda Stalder, PA-C Core Faculty/ Advisor *****************************

Specialist Research Support I-KPWHRI Job Number: 1322842 Posting Date: Dec 4, 2024, 10:27:45 PM Description This Research Support Specialist is 50% on-site at our research clinic front desk in downtown Seattle. The schedule is two regular days and then an alternating third day. The primary focus at the front desk is to be first point of contact to greet research study participants. A strong fit for this position is someone with excellent customer service skills and the ability to juggle competing demands. On-site responsibilities also include opening and closing the clinic, answering occasional phone calls, helping with updating clinic standard operating procedures and completing back-office tasks as assigned, such as verifying the clocks and transporting regular clinic supply orders. Job Summary: Under the supervision of the Research Administrative Supervisor, provides specialized administrative support to research faculty and staff. Performs a variety of complex administrative duties throughout the continuum of the research project lifecycle, with a focus on grant application development and supporting the dissemination of results. Supports special projects and events as assigned. Work is highly deadline driven and at times confidential in nature. Normally receives general direction but works independently on assignments that are moderately complex in nature; expected to meet deadlines and apply judgment within established guidelines and procedures related to department and research study regulations. A six month training period is expected. Essential Responsibilities: Research Administrative Support: a) Performs specialized coding, documentation, and other accounting functions for processing of grant expenses and expense reimbursements according to federal regulations and Kaiser Foundation Health Plan of Washington policies. b) Coordinates schedules, manages calendars, and arranges appointments, meetings, and travel itineraries in compliance with federal regulations. c) Tracks financial information. d) Establishes, maintains, processes, and updates files, records, certificates, and/or other documents to meet internal and external audit requirements. e) Researches and orders office supplies. f) Operates a variety of office equipment. Scientific Support: a) Assists faculty with meeting funding agency requirements for grant submissions. Completes grant application forms. Reviews grant applications for accuracy. Formats manuscripts to meet journal requirements. Create figures and tables using research project data. Creates research project documents according to grant and IRB guidelines. b) Utilizes computer software programs (EndNote, Acrobat Professional, and Microsoft Office, etc.) on a daily basis. Communication, Process Improvement: a) May participate in institute wide committees and workgroups and administrative responsibilities (e.g. SharePoint site, Seminar support) b) Actively participates in RSS unit (attend and actively engage in unit meetings) c) Establishes a self-management system to meet deadlines and accuracy expectations for documents and emails. d) Creates desk manual to document work processes particular to the position to ease transitions in staffing and out of office coverage. Documents policies and procedures for own learnings. Training, Oversight, Mentoring: a) May provide training and orientation to newly hired Research Support Specialists. Qualifications Basic Qualifications: Experience Minimum one (1) year of experience working providing administrative support/receptionist services (or comparable) OR two (2) years of customer service experience. Intern or volunteer experience may be considered. Education High School Diploma or General Education Development (GED) required. License, Certification, Registration N/A Additional Requirements: Manage complex workload.Ability to understand and follow specific instructions and procedures.Operate basic office equipment.Communicate effectively, orally and in writing.MS Office.Records maintenance skills.Ability to rapidly learn new software and procedures.Arithmetic, reading, writing skills. Preferred Qualifications: Three (3) years of experience providing administrative support.Primary Location: Washington-Seattle-Met Park East Regular Scheduled Hours: 40 Shift: Day Working Days: Mon, Tue, Wed, Thu, Fri Start Time: 07:45 AM End Time: 04:15 PM Job Schedule: Full-time Job Type: Standard Employee Status: Regular Job Level: Entry Level Job Category: Research and Development Public Department Name: Met Park East - Admin Services/HR Research OPS - 1130 Travel: No Employee Group: NUE-WA-04|NUE|Non Union Employee Posting Salary Low : 23.17 Posting Salary High: 29.98 Kaiser Permanente is an equal opportunity employer committed to a diverse and inclusive workforce. Applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), age, sexual orientation, national origin, marital status, parental status, ancestry, disability, gender identity, veteran status, genetic information, other distinguishing characteristics of diversity and inclusion, or any other protected status. External hires must pass a background check/drug screen. Qualified applicants with arrest and/or conviction records will be considered for employment in a manner consistent with federal and state laws, as well as applicable local ordinances, including but not limited to the San Francisco and Los Angeles Fair Chance Ordinances.Click here for Important Additional Job Requirements. Share this job with a friend You may also share this job description with a friend by email or social media. All the relevant details will be included in the message. Click the button labeled Share that is next to Submit.

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A leading technology company is hiring a Machine Learning Research Engineer in Seattle, WA. You will design cutting-edge AI models focusing on human sensing technologies. Applicants should have a Master's or Ph.D. in Computer Science and proficiency in Python and machine learning frameworks. Experience in research, including publications or impactful software, is essential. The position offers a competitive salary and benefits, like stock options and comprehensive healthcare. #J-18808-Ljbffr

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Anduril's Lattice software platform integrates together many sensors into a single cohesive view of the world, providing needed context for our users. AI Engineers on Anduril's Frontier AI team build edge-compatible, generative AI systems into the Lattice software platform to provide features and products that improve autonomy and reduce cognitive burden on the warfighter. Specific applications include but are not limited to automating mission planning, battle-space understanding, voice-control of assets, and enabling higher-levels of autonomy. WHAT YOU'LL DO Distill and fine-tune transformer architectures so they can be deployed onto edge devices or compute denied environments Propose and prototype LLM-based Agentic systems that help solve real world problems, leveraging the latest state-of-the-art techniques in the field Develop and maintain mission relevant benchmarks Work cross-functionally with different business lines across Anduril to help discover and scope new research problems REQUIRED QUALIFICATIONS BS in Computer Science, Machine Learning, Electrical Engineering, or related field 5+ years experience developing and benchmarking ML algorithms Experience pushing and maintaining ML algorithms in production Strong Python skills with experience in ML frameworks such as PyTorch Eligible to obtain and maintain an active U.S. Secret security clearance PREFERRED QUALIFICATIONS Experience fine-tuning transformer-based model Experience deploying deep-learning based models to edge devices or air gapped environments Prior experience in defense tech or start-up US Salary Range $220,000 - $292,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Healthcare Benefits US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you. UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents. IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents. Additional Benefits Income Protection: Anduril covers life and disability insurance for all employees. Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs. Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting. Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available. Professional Development: Annual reimbursement for professional development. Commuter Benefits: Company-funded commuter benefits based on your region. Relocation Assistance: Available depending on role eligibility. Retirement Savings Plan US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options. UK & IE Roles: Pension plan with employer match. AUS Roles: Superannuation plan. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. To view Anduril's candidate data privacy policy, please visit ********************************************** #J-18808-Ljbffr

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.

The AI for Science team has been focusing on tackling challenges in natural sciences, including biology, physics, and materials, with computational tools such as Machine Learning, Computational Chemistry, High-throughput Computation. Our goal is to create breakthroughs in natural science with new methodology and help the world. We are looking for talented individuals to join us for an internship in 2026. PhD Internships at ByteDance aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. PhD internships at ByteDance provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date). Responsibilities: - Stay up to date with cutting-edge research and collaborate with the team to develop a broad and in-depth understanding of key technical domains. - Apply interdisciplinary approaches-combining machine learning, quantum chemistry, molecular dynamics, and other methods-to explore novel applications in biology and materials science. - Integrate internal and external research outcomes to drive real-world implementation of research achievements and create widespread impact. Minimum Qualifications: - Currently pursuing a PhD in Machine Learning, Computational Materials Science, Computational Biology, or a related field. - Strong understanding of machine learning algorithms, with extensive hands-on experience and software development knowledge. - Proven track record of publications in high-impact, peer-reviewed scientific journals. - Demonstrated ability to conduct independent and innovative research; capable of thriving in a fast-paced, interdisciplinary environment. - Excellent teamwork and interpersonal communication skills, with the ability to convey complex ideas effectively. Preferred Qualifications: - AI force field models and atomic/molecular foundational models - Molecular dynamics enhanced sampling algorithms integrated with generative models - Design of biomolecules or material molecules - Deep engineering optimization and acceleration of AI-driven molecular dynamics simulations By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: *******************************************

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization. Meta is seeking Research Interns to join our Meta Recommendation Systems (MRS) Research. This newly created org brings together a world-class team of AI Research Scientists and Engineers. The MRS Research org is exploring and advancing SoTA technology, centering around AI and ML, to arrive at a unified infrastructure and model service to leapfrog recommendation systems (Recsys), its theory and algorithms across Meta (Facebook, Instagram and WhatsApp, the "Family of Apps" (FoA)). Our interns will have the opportunity to perform cutting-edge research on AI for Recsys with the potential to have an impact at Meta's scale. Our vision is to leverage AI frontier models in all aspects of recommendation systems including but not limited to deep understanding of multi-modal content (especially images/videos, posts, user interactions), modeling user interests and preference, values of the ecosystems. We contribute to the mission of connecting users to the content they enjoy, are inspired by, and that they want to see more of. To this end, we conduct cutting-edge research using the complete suite of audio, visual, text and metadata signals associated with posts and videos to improve recommendation relevance across all surfaces and provide a better, more meaningful experience to users. We build tools, create frameworks and train models that we deploy together with product and infrastructure teams to gain adoption across the FoA. We also publish scientific papers to help advance the state of the art in all aspects of the technology stack. Our team at MRS Research offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. Minimum Qualifications * Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Artificial Intelligence, or relevant technical field * Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment * Experience with Python, with experience in machine learning libraries such as Pytorch * Familiarity with AI/ML modeling and algorithmic techniques (e.g., various components of multimodal LLM, RAG, LSTM, GRU, Transformers, RL and/or its acceleration for large scale use cases) * Experience building systems based on machine learning and/or deep learning methods Preferred Qualifications * Intent to return to the degree program after the completion of the internship * Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences such as NeurIPS, ICLR, KDD, ICML, SIGIR, WSDM, RecSys, CIKM, CVPR, ECCV/ICCV/WACV, ACL, EMNLP, ICASSP, CoLM, or similar venues * Experience working and communicating cross functionally in a team environment * Prior research or project experience in sequence modeling, recommendation systems, or user modeling, RL, etc * Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) Responsibilities * Initiate and lead efforts towards long-term ambitious research goals, while identifying intermediate milestones in the area of recommendation systems and models, user and content understanding and multi-modal (video, audio, and text) LLM analysis for classification and relevance use cases * Conduct original research that can eventually be applied to Meta product development, engage with the wider research community, including publishing and releasing open source software where appropriate * Design, train and support AI/ML libraries and models to implement new features and functionality for use internally at Meta * Collaborate with researchers and cross-functional partners including communicating research plans, 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.

AI Lab at Seattle Area Tencent is a leading internet company in China. Tencent AI Lab at Seattle Area was established in May 2017. The lab strives to continuously improve AI's capability in perception, cognition, and creativity. Researchers there aim at solving challenging real-world problems with advanced technologies and publish extensively at top conferences and journals.Research Internship - Reinforcement Learning for Large Foundation Models Tencent AI Lab is dedicated to advancing cutting-edge AI technologies, with a particular focus on innovative breakthroughs in large foundation models. The lab's long-term ambition is to drive the development of Artificial General Intelligence (AGI), and ultimately, Artificial Superintelligence (ASI). We are currently seeking research interns for the year of 2026, in the area of reinforcement learning (RL) for large foundation models, with an emphasis on developing stable and efficient RL algorithms. The goal is to empower large foundation models in complex reasoning ang agent tasks and enhance their capabilities in autonomous exploration and continuous learning. Our Seattle area office is located in Bellevue WA. Every research intern will work with researchers on a research project aimed at attacking one of the core problems on the design and optimization of RL algorithms for large foundation models. Research areas include but are not limited to Reinforcement Learning Algorithms, Reward Modeling, and World Models. We will conduct large-scale experiments of RL algorithms in scenarios such as complex reasoning and autonomous agents, deliver impactful algorithms for real world applications, and publish influential research papers. Who We Look ForRequirements & Qualifications The ideal intern candidates are those who Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related fields from a top university, are self-motivated and excited about developing novel techniques, have research experiences in natural language processing or machine learning, are proficient in Python programming and experienced in developing with deep learning frameworks such as PyTorch. have good publication track records and history of creativity and intellectual flexibility, have excellent communication and teamwork skills, capable of collaborating with cross-functional teams to drive project success and innovation. Intern duration: 3 months (with the possibility of extension). Can start any time in the year 2026. Location State(s) US-Washington-BellevueThe expected base pay range for this position in the location(s) listed above is $80,169.00 to $120,000.14 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. This position will be eligible for 1 hour of paid sick leave for every 30 hours worked and up to 13 paid holidays throughout the calendar year. Subject to the terms and conditions of the applicable plans then in effect, full-time interns are also eligible to enroll in the Company-sponsored medical plan.Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

About Centific At Centific, people are at the center of our culture.We constantly seek out opportunities for people to enhance their skills, and emphasize work-life balance for all our employees.We believe that competition can bring out the very best in people - from our annual creative film and speech contests to our weekly office game tournaments,we mix work and play to engage our people and help our clients succeed. About Job Help us fight email fraud with AI Are you passionate about data and AI? Do you want to learn how to use data labelling to train AI models for email fraud prevention? If yes, then this internship is for you. We are looking for a data analyst intern who will join our grading team and work on data labelling projects. You will be responsible for creating, reviewing, and validating data labels for various email fraud scenarios. You will also help us analyze the quality and performance of the data labels and the AI models. This is an entry level position and an internship. You will work for 3 months, part-time. You will receive training and mentorship from our experienced senior graders and managers. You will also have the opportunity to learn about email fraud prevention, AI, and data science best practices. What you will do Create data labels for email fraud scenarios using a data labelling platform Analyze the quality and performance of the data labels and the AI models Provide feedback and suggestions for improving the data labelling process Collaborate with the data science team and other stakeholders on data labelling projects Learn and Grow: gain hands-on experience in the dynamic field of AI and data labeling, by working alongside industry experts and solving real-world problems Join a growing company using technology to help tackle enterprises' toughest challenges.

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