Graduate research assistant jobs in Kent, WA - 1,103 jobs

Seattle, Washington, United States Software and Services Apple is seeking a Research Engineer to join our Foundation Model Preparation and Algorithm Team. We are looking for all levels of talent to bring innovative AI research into Apple products. Description We are looking for strong ML applied scientists and engineers to build groundbreaking AI infrastructure and algorithms. This infrastructure will power the optimization of Apple Foundation models, including on-device and server Apple Intelligence models. My team is directly responsible for general model capability, use‑case‑oriented post‑training, and also the feature delivery for Apple Intelligence. You should be a strong scientist and/or engineer who has a background in building state‑of‑the‑art LLMs. Your work will have a direct impact on billions of Apple clients. You will collaborate with world‑class talent in LLM training, on‑device and server optimization, ML tools/platforms, datasets, and evaluation. You will develop reliable and scalable pipelines and algorithms, such as: Model optimization pipelines State‑of‑the‑art optimization algorithms State‑of‑the‑art post‑training techniques Minimum Qualifications Experience developing, optimizing, or training large language models (LLMs), large foundation models, or generative AI models. Software engineering skills in Python and general‑purpose system administration and infrastructure management abilities. History of applied research in the neural network model life cycle, training, or a related application area. Experience with languages like Python, C/C++. Track record of driving scientific investigations and experiments, and overcoming obstacles and uncertainty in a research environment. BS degree and 3+ years of proven experience. Preferred Qualifications Publication record at top AI/ML venues. Experience with LLM LoRA fine‑tuning, neural network optimization (e.g., quantization, palettization). Experience with LLM pre‑training or post‑training. Experience with on‑device/server scale deployment. Infrastructure management and debugging experience. Experimental rigor when training/evaluating LLMs for the purpose of benchmarking LLM optimization algorithms. Strong communication and accountability skills; a hard‑working, strong work ethic, and collaboration abilities. Ph.D. in a related field. 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 $139,500 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

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.

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

Title: Research Engineer Duration: 12 months Compensation: $40 - $80/hr Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. We are looking for a motivated research engineer to join our team, whose mission is to create and apply scientific knowledge about the cognitive system to improve robotic dexterity manipulation. We are specifically looking for candidates with experience in supporting sensing signal processing, machine learning / deep learning modeling. Our team of researchers is identifying cognitively-inspired solutions for human machine interaction. The chosen candidates will work with a diverse and highly interdisciplinary team of researchers and engineers and will have access to cutting edge technology, resources, and testing facilities. Responsibilities ● Develop and implement protocols & pipelines for automated sensor evaluation. ● Develop tools for sensor data performance visualization, exploration and iteration. ● Refine machine learning training and evaluation pipelines to support integrated Input/Output systems. Minimum qualifications ● Bachelor's degree in computer science, computer engineering, electrical engineering, applied math, sensing & control, robotics, or a related field. ● 3+ years experience with sensor data modeling, analysis, and visualization. ● 3+ years of experience coding with Python and software engineering best practices (version control, code reviews). Knowledge of MATLAB is a plus. ● Solid understanding of digital signal processing (DSP) and sensor characterization. ● Experience implementing, debugging, fine-tuning machine learning models. ● Experience with ROS system implementation and development. Preferred qualifications ● Master's degree and 1+ years of industry experience. ● Experience bringing-up and debugging prototype/scientific software-hardware systems (e.g., wearable sensing systems, multi-camera sensing/tracking solutions like OptiTrack, etc.). ● Experience with sensor fusion, human-computer interaction (HCI), human-machine collaboration, machine learning, deep learning, or related fields. ● Experience with C or C++ programming and virtual reality (VR), augmented reality (AR) or Robotics application development. ● Experience developing GUIs, data visualization & exploration tools using QT, HTML5 (Plotly, Chart.js, D3.js, etc) or other toolkits Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: ****************************************** By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.

About the Team: The commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth can not be underestimated. We aim to bring discovery, inspiration, and joy back to shopping by making TikTok the commerce channel of choice for merchants, creators, and affiliates. We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities: * Analyze E-Commerce businesses, focusing on traffic efficiency, user behavior, and merchant operations. Independently undertake special analyses on merchant growth, traffic conversion, creator/content growth, and user behavior. * Develop short-term and long-term scale and revenue targets. * Provide regular reports and insights to facilitate data-driven decision-making. * Monitor and analyze various operating indicators and drivers of the e-commerce operations team on a daily basis. * Leverage insights from analysis to make informed recommendations for future business strategies.Minimum Qualifications: * Final year or recent graduate in MBA. * Have good communication and coordination skills, excellent logical thinking ability, able to quickly understand business. * Strong analytical skills and proficiency in data analysis tools such as SQL/Python. * Excellent communication skills and can effectively handle cross-functional collaboration. Preferred Qualifications: * Experience in e-commerce industry operation analysis, business analysis, data analysis, etc. * Background in Business, Analytics, Mathematics, or a related field.

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.

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'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.

Business Unit What the Role Entails About Tencent 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: Multimodal LLM (Speech/Music/Audio/Vision/Language) 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 seeking research interns who are interested in developing novel speech/music/audio/vision/language processing techniques and large multimodal models 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 by inventing cutting edge techniques. We encourage discussions and collaborations between researchers and interns. Interns are also encouraged to publish the results from the internship. Our projects span a wide range of areas, including developing more effective multimodal pretraining and post-training strategies for audio, speech, music, image, and video understanding and generation. We aim to enable fully duplex conversations, design more efficient large-model architectures, enhance multimodal memory and reasoning capabilities, and advance novel audio, speech, music, image, and video processing techniques-such as encoding, tokenization, and representation learning-with a focus on multimodal applications and end-to-end large models. Who We Look For Requirements & Qualifications The ideal intern candidates are those who * are Ph.D. students in computer science, electrical engineering, mathematics or a related field, * are self-motivated and excited about developing novel techniques, * have research experiences in natural language processing, speech, audio, and music processing, computer vision, dialog system, or machine learning, * have good publication track records and history of creativity and intellectual flexibility, * can program skillfully in Python and/or C++ and have experiences in using one of the leading deep learning toolkits. * Intern duration: 3 months (with the possibility of extension). Can start any time in the year 2026. Location State(s) US-Washington-Bellevue The 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.

Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter. *Compensation dependent on current degree enrollment. Research Intern, Undergrad: $94,320 (Annually) Research Intern, Masters: $106,110 (Annually) Research Intern, PhD: $140,000 (Annually) Who You Are: Are you interested in researching cutting-edge developments in AI applied to climate modeling? Do you have a passion for applying technology to do good in the world? If so, an Ai2 research internship in the Climate Modeling team may be the perfect opportunity. We will be offering two 12-week internships during summer 2026. We will review applications and schedule virtual interviews for top candidates in January-February 2026. Your completed application package must be received by January 4, 2026. Ai2 Research Internship Information: Duration: 12 weeks Start date: Flexible, between May 1st -July 1st Candidates: A PhD candidate in Computer Science or Informatics, or in a climate-relevant physical science. In either case, both relevant coursework and practical experience with machine learning are required. Who We Are: Ai2's Climate Modeling team (Ai2CM) has developed ACE, the world's leading AI-based global atmosphere emulator for climate applications. ACE can be trained to replicate weather variability and climate change at 100 km horizontal resolution using historical observations or outputs from any physics-based climate model. It runs hundreds of times faster on a single GPU than such a model running on a supercomputer. For climate-planning applications, we have implemented diffusion-based super-resolution for ‘downscaling' ACE simulations to kilometer-scale local detail. Your Next Challenge: At Ai2, you will be working with world-class AI researchers and software engineers. We perform team-based, ambitious research, with a mandate to strive for big breakthroughs, not just incremental progress, in an exciting and interactive workplace. Interns will develop and apply novel AI methodologies to either (1) improve the generalization skill of ACE to unseen climates such as we might encounter in next 30 years, or (2) extend the capabilities and improve the efficiency and skill of our AI-based downscaling to make it useful for practical applications such as assessing wildfire hazard or snowpack in a changing climate. You will work closely with a technical mentor on project design, coding and testing. Your technical mentor will discuss project details with you before your start date. Over the course of your time at Ai2, you will build your resume and leave an impact on Ai2 and the world. We have a beautiful office near a bike trail, the University of Washington and Lake Union; daily catered lunches; and great pay. Summer is the perfect season to explore Seattle and our great outdoors. What You'll Need: Candidacy in a doctoral program in computer or computational/data science, applied math/statistics, physical sciences or engineering. Strong skills in Python and collaborative software development in git; good communication skills. Prior coursework and practical experience in machine learning. Graduate-level course work in atmospheric or climate science or some area of fluid dynamics is a plus. Eager to learn new skills and like to work in a challenging environment. Physical Demands and Work Environment: The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions. Must be able to remain in a stationary position for long periods of time. The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. The ability to observe details at close range. Can work under deadlines. A Little More About Ai2: Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world's biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond. In addition to Ai2's core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are: We are a learning organization - because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers. We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind. We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered. We emphasize a healthy work/life balance - we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave. We are collaborative and transparent - we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures. We are in Seattle - and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States. We are friendly- chances are you will like every one of the 200+ (and growing) people who work here. We do. Ai2 is proud to be an Equal Opportunity 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. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links. This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at **********************. Benefits: Team members and their families are covered by medical, dental, vision, and an employee assistance program. Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans. Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses. Team members will accrue sick days per year in line with Seattle sick time requirements. If you are usually scheduled to work on a holiday that Ai2 recognizes as a day off, you will be paid for this day. Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.

Up To $1,000 Paid Depression Study! Those who Currently Experience At Least TWO Symptoms of Depression And the Current Depressive Episode Started More Than 4 Weeks Ago May Qualify For The Study!

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

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.

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 *****************************

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

Assistant Manager $16.66-$24 an hour ABOUT THE JOB You were born to be the boss. We know. You get up in the morning and you make sure everyone else in the house is doing what they need to do. Then you go to work and you make sure that everyone there is doing what they need to do, even your boss. You just do that because you've always done it. Well maybe it's time you moved up. You want to be the boss? Well now's your chance - Domino's is hiring bosses - more specifically assistant managers. It's a tough job, one that needs a natural like you. Of course, you'll need some skills - judgment, math, and the ability to multitask. You'll be working for a company that's fun and flexible. Not to mention, it's work experience you're going to use for a long time to come. You've had our pizza delivered to you, now help us be the best in pizza delivery. Go on, boss, show us what you've got. Apply now! JOB REQUIREMENTS & DUTIES You are responsible for everything that happens during your shift. This includes all cost controls, inventory control, cash control and customer relations. You must set the example. You must follow ALL policy and procedures 100% of the time and expect the same from your crew. SUMMARY STATEMENT We take pride in our team members and our team members take pride in Domino's! Being the best pizza delivery company in the world requires exceptional team members working together. At Domino's, our people come first! QUALIFICATIONS - At least 18 years or older ADDITIONAL INFORMATION - Employee Discounts! - Paid Training - Flexible schedules! - Perfect job for students or extra hours after another job - Tips paid out after shift! - Great pay - Our drivers receive a competitive hourly wage, plus tips - Benefits: All Full-time (36+ hours) team members are eligible for health benefits through Premera , paid 75%, after 90 days worked. Did you know 90% of Domino's franchisees started out as Pizza Makers or Drivers? Check out the video below and hear it from one of our own team members who climbed the ladder! Additional Information Additional Job Details Stooping/Bending Forward bending at the waist is necessary at the pizza assembly station. Toe room is present, but workers are unable to flex their knees while standing at this station. Duration of this position is approximately 30 - 45 seconds at one time, repeated continuously during the day. Forward bending is also present at the front counter and when stocking ingredients. Crouching/Squatting Performed occasionally to stock shelves and to clean low areas. Reaching Reaching is performed continuously; up, down and forward. Workers reach above 72 occasionally to turn on/off oven controls, change prices on sign, and lift and lower objects to and from shelves. Workers reaching down to perform such tasks as scooping cornmeal from a plastic barrel, or washing dishes. Workers reach forward when obtaining topping ingredients, cleaning work surfaces, or answering phones. Hand Tasks Eye-hand coordination is essential. Use of hands is continuous during the day. Frequently activities require use of one or both hands. Shaping pizza dough requires frequent and forceful use of forearms and wrists. Workers must manipulate a pizza peel when removing pizza from the oven, and when using the rolling cutter. Frequent and/or forceful pinching is required in the assembly of cardboard pizza boxes. Team Members must be able to grasp cans, the phone, the pizza cutter and pizza peel, and pizza boxes. Machines, Tools, Equipment, Work Aids Team Members may be required to utilize pencils/pens, computers, telephones, calculators, TDD equipment, pizza cutter and pizza peel. DRIVING SPECIFIC JOB DUTIES Deliver product by car and then to door of customer. Deliver flyers and door hangers. REQUIRES Valid driver's license with safe driving record meeting company standards. Access to an insured vehicle which can be used for delivery. ESSENTIAL SKILLS Navigational skills to read a map, locate addresses within designated delivery area. Must navigate adverse terrain including multi-story buildings, private homes, and other delivery sites while carrying product. PHYSICAL DEMANDS Carrying During delivery, carry pizzas and beverages while performing walking and climbing duties. Driving Deliver pizzas within a designated delivery area. A Team Member may make several deliveries per shift. Walking Delivery personnel must travel between the store and delivery vehicle and from the delivery vehicle to the customer's location. Climbing During delivery of product, navigation of five or more flights of stairs may be required. WORK CONDITIONS Exposure To Varying and sometimes adverse weather conditions when delivering product, driving and couponing. SENSING Far vision and night vision for driving.

As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem solving skills and dedication to build stronger minds and a healthier world. UW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits and natural beauty. At the University of Washington School of Social Work (SSW), we commit ourselves to promoting social and economic justice for poor and oppressed populations and enhancing the quality of life for all. We strive to maximize human welfare through education, research, and public service. We embrace our position of leadership in the field of social work and join in partnership with others in society committed to solving human problems in the twenty-first century. The UW and the School of Social Work promote diversity and inclusivity among our staff, faculty and students; we seek applicants for this position who are committed to these principles and whose experiences have prepared them to fulfill our commitment to inclusion and have given them the confidence to fully engage with audiences from a wide spectrum of backgrounds. Social Development Research Group (SDRG) is looking for bilingual temporary hourly staff to conduct brief telephone surveys with parents of children ages 0-11 for the Best Starts for Kids Health Survey. The position is from **January - August 2026** . Best Starts for Kids (BSK) is a voter-approved initiative to improve the health and well-being of all King County residents by investing in promotion, prevention and early intervention for children, youth, families and communities. The Best Starts for Kids Health Survey will collect information from families in King County as one way to evaluate if the BSK initiative is effective. **Basic Function:** **NOTE: This is NOT a medical or laboratory position.** The function of the Bilingual Research Interviewer will involve calling participants to encourage their participation in the survey. Research Interviewers will use various tools (phone, text, email), resources and techniques to recruit and encourage participants to complete web or phone surveys. When not contacting participants, team members may do other tasks such as data entry, filing, preparing mailings, or assisting other team members, as needed. Telephone interviewers will receive training and will be expected to demonstrate mastery of basic interviewing techniques before beginning work on the project. Training and team meetings will be held in-person at our offices in the University District. Contacting participants will be done remotely after training is completed. Calling hours are Monday - Sunday from 8am - 8pm. Bilingual Telephone Interviewers will be scheduled for 5 15 hours hours a week within that time frame, or up to 35 hours a week if also conducting interviews in English. **Responsibilities Include:** · Contact respondents via phone call, text, and/or email. · Motivate respondents to finish surveys as soon as possible, help the project meet completion goals, implement refusal prevention techniques for hesitant participants; maintain high response rates. · Conduct scripted phone interviews with the assistance of data collection software and/or encourage participants to complete surveys online. · Adhere to project protocol by maintaining confidentiality of participant information, using project tools properly, and keeping detailed and accurate records. · Participate in weekly staff meetings, provide on-going feedback on survey administration and procedures, and assist in problem-solving solutions · Assist with other data collection and clerical tasks, as needed **Requirements** Two years of college-level course work in a relevant academic area AND one year of appropriate experience. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration. **Qualifications:** · **Must be fluent in English, as well as one of the following languages: Chinese (Traditional reading, Mandarin speaking), Russian, or Vietnamese** · Ability to build rapport easily over the phone · Excellent oral and written communication skills · Strong interpersonal skills · Demonstrated organizational skills and attention to detail · Ability to work as a member of a cooperative team · Flexible schedule, available to work nights and weekends · Comfortable learning new technology and working with multiple electronic systems (MS Office, Teams, and Computer-Assisted Interviewing (CAPI/CATI) software) **Desired Qualifications:** · Previous customer service experience preferred · Understanding of data collection process preferred · Candidates with experience working with diverse communities, particularly working with African American and American Indian and Alaska Native communities locally, preferred **Compensation, Benefits and Position Details** **Pay Range Minimum:** $21.28 hourly **Pay Range Maximum:** $23.91 hourly **Other Compensation:** - **Benefits:** For information about benefits for this position, visit **************************************************************************************** **Shift:** First Shift (United States of America) **Temporary or Regular?** This is a temporary position **FTE (Full-Time Equivalent):** 0.00% **Union/Bargaining Unit:** SEIU Local 925 Nonsupervisory **About the UW** Working at the University of Washington provides a unique opportunity to change lives - on our campuses, in our state and around the world. UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty. **Our Commitment** The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81 (*********************************************************************************************************************** . To request disability accommodation in the application process, contact the Disability Services Office at ************ or ********** . Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law (********************************************************* . University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sexual orientation, gender identity, sex, age, protected veteran or disabled status, or genetic information.

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.

Details Information Department Coop Inst Marine Ecosyst (RDR) Title Faculty Research Assistant Job Title Faculty Research Assistant: Aquaculture Research Appointment Type Academic Faculty Benefits Eligible Full-Time, benefits eligible Remote or Hybrid option? Yes Job Summary The Cooperative Institute for Marine Ecosystem and Resources Studies ( CIMERS ) invites applications for a full-time (1.00 FTE ), 12-month, fixed-term, Faculty Research Assistant: Aquaculture Research position. Reappointment is at the discretion of the Director. This position is located in Port Orchard, Washington. This position will work for CIMERS and be co-located at the NOAA Northwest Fisheries Science Center's Manchester Research Station in Port Orchard, Washington at the direction of NOAA and OSU research leads. This position is charged with successfully managing day-to-day technical processes to support the operations of the lab, calibration of equipment, husbandry of research animals, and generating, administering, and testing vaccine strategies, feed diets, and disease susceptibility/resistance in aquaculture research. The position is also responsible for documenting research trials, filing reports, and frequent communication with lead PIs. Why OSU? Working for Oregon State University is so much more than a job! Oregon State University is a dynamic community of dreamers, doers, problem-solvers and change-makers. We don't wait for challenges to present themselves - we seek them out and take them on. We welcome students, faculty and staff from every background and perspective into a community where everyone feels seen and heard. We have deep-rooted mindfulness for the natural world and all who depend on it, and together, we apply knowledge, tools and skills to build a better future for all. FACTS : -Top 1.4% university in the world -More research funding than all public universities in Oregon combined -1 of 3 land, sea, space and sun grant universities in the U.S. -2 campuses, 11 colleges, 12 experiment stations, and Extension programs in all 36 counties -7cultural resource centers (********************************************************************** that offer education, celebration and belonging for everyone -100+ undergraduate degree programs, 80+ graduate degrees plus hundreds of minor options and certificates -35k+ students including more than 2.3k international students and 10k students of color -217k+ alumni worldwide -For more interesting facts about OSU visit:***************************** Locations: Oregon State has a statewide presence with campuses in Corvallis and Bend, the OSU Portland Center and the Hatfield Marine Science Center on the Pacific Coast in Newport. Oregon State's beautiful, historic and state-of-the-art main campus is located in one of America's best college towns. Corvallis is located close to the Pacific Ocean, the Cascade mountains and Oregon wine country. Nestled in the heart of the Willamette Valley, this beautiful city offers miles of mountain biking and hiking trails, a river perfect for boating or kayaking and an eclectic downtown featuring local cuisine, popular events and performances. Total Rewards Package: Oregon State University offers acomprehensive benefits package (********************************************************* with benefits eligible positions that is designed to meet the needs of employees and their families including: -Medical, Dental, Vision and Basic Life. OSU pays 95% of premiums for you and your eligible dependents. -Free confidential mental health and emotional support services, and counseling resources. -Retirement savings paid by the university. -A generous paid leave package, including holidays, vacation and sick leave. -Tuition reduction benefits for you or your qualifying dependents at OSU or the additional six Oregon Public Universities. -Robust Work Life programs including Dual Career assistance resources, flexible work arrangements, a Family Resource Center, Affinity Groups and an Employee Assistance Program. -Optional lifestyle benefits such as pet, accident, and critical illness insurance, giving you peace of mind and the support you need to thrive in all aspects of your life. Oregon State University is deeply committed to the principles of a Health Promoting University. This commitment drives a collaborative approach across OSU's safety and well-being programs, reducing silos and coordinating efforts to enhance employee safety and well-being. By prioritizing resources that support the health of both employees and students, OSU fosters a culture of care and a healthier campus environment where everyone can thrive. 2025 Best Place for Working Parents Designation! (*********************************************** Future and current OSU employees can use the Benefits Calculator (********************************************************************** to learn more about the full value of the benefits provided at OSU . Key Responsibilities 50% Provide Laboratory and Research Assistance 40% Responsible for maintaining healthy fish, and life support systems for research purposes 10% Supports critical lab research and operations What You Will Need + Bachelor's degree from an accredited college in Marine Sciences. + Course work in aquaculture. + Experience in working with diseases that affect aquatic species. + Experience in fish husbandry practices of aquatic species, and knowledge of water quality issues that may affect aquatic species. + Ability to foster an inclusive research environment and embrace all ideas, perspectives and backgrounds. + Ability to secure authorization to work in a federal science facility. This position is designated as a critical or security-sensitive position; therefore, the incumbent must successfully complete a criminal history check and be determined to be position qualified as per University Standard: 05-010 et seq. Incumbents are required to self-report convictions and those in youth programs may have additional criminal history checks every 24 months. This position requires driving a university vehicle or a personal vehicle on behalf of the university; therefore, the incumbent must successfully complete a motor vehicle history check, possess, and maintain a current, valid driver's license in their state of residence, be determined to be position qualified and self-report convictions as per University Policy 05-030. What We Would Like You to Have + Experience working with coldwater marine species such as sablefish (black cod). + Experience conducting fish vaccine studies and sampling for disease or immunology research. + Experience with statistical analysis of biological data. + Knowledge and experience running laboratory assays (immunoassays, gene expression, ELISAs, gene expression, etc.) on blood or other tissues from aquatic animals. + Course work in statistics and experience with statistical software such as R or MATLAB . + Experience with conducting research in a NOAA aquaculture facility Working Conditions / Work Schedule 90% Lab Setting 10% Office Setting Pay Method Salary Pay Period 1st through the last day of the month Pay Date Last working day of the month Recommended Full-Time Salary Range $52,000 - $72,000 Link to Position Description ********************************************************** Posting Detail Information Posting Number P09637UF Number of Vacancies 1 Anticipated Appointment Begin Date 02/23/2026 Anticipated Appointment End Date Posting Date 12/22/2025 Full Consideration Date Closing Date 01/09/2026 Indicate how you intend to recruit for this search Competitive / External - open to ALL qualified applicants Special Instructions to Applicants When applying you will be required to attach the following electronic documents: 1) A resume/CV; and 2) A cover letter indicating how your qualifications and experience have prepared you for this position. You will also be required to submit the names of at least three professional references, their e-mail addresses and telephone numbers as part of the application process. For additional information please contact: Dawn Dougherty at ****************************** We are an Equal Opportunity Employer, including disability, protected veteran, and other protected status. OSU will conduct a review of the National Sex Offender Public website prior to hire. OSU is a fair chance employer committed to inclusive hiring. We encourage applications from candidates who bring a wide range of lived experience including involvement with the justice system. This job has "critical or security-sensitive" responsibilities. If you are selected as a finalist, your initial job offer will be contingent upon the results of a job-related pre-employment check (such as a background check, motor vehicle history check, sexual misconduct reference check, etc.). Background check results do not automatically disqualify a candidate. Take a look at our Background Checks (***************************************************** website including thefor candidates (********************************************** section for more details. If you have questions or concerns about the pre-employment check, please contact OSU's Employee and Labor Relations team ************************************. Supplemental Questions Read More at: ******************************************** OSU commits to inclusive excellence by advancing equity and diversity in all that we do. We are an Affirmative Action/Equal Opportunity employer, and particularly encourage applications from members of historically underrepresented racial/ethnic groups, women, individuals with disabilities, veterans, LGBTQ community members, and others who demonstrate the ability to help us achieve our vision of a diverse and inclusive community.