Graduate research assistant jobs in Tacoma, WA

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.

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: * Develop and execute comprehensive e-commerce resource planning strategies with a specialization in logistics, including goal/budget setting and performance review. * Conduct data analysis to evaluate the performance of logistics, identify trends, and make recommendations for optimization. * Collaborate with cross-functional teams to plan and execute logistics Strategy.Minimum Qualifications: * Final year or recent graduate in MBA. * Strong analytical skills and proficiency in data analysis tools such as SQL/Python. * Ability to work independently, prioritize tasks, and meet deadlines in a fast-paced environment. * Excellent communication skills, with the ability to present complex data in a clear and concise manner. * Detail-oriented with strong organizational and project management skills. Preferred Qualifications: * Experience in the E-Commerce industry, preferably within logistics. * 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.

Reality Labs (RL) teams are looking for exceptional interns to help us create next generation interaction technologies for virtual and augmented reality. Join a full-stack team working on computer vision, machine learning, geometric and appearance simulation, and AI image generation. We are accepting applications from those interested in (but not limited to) the following areas:- Synthetic image generation using deep generative models, computer graphics, or physics-based simulation.- High-Fidelity image synthesis including generation of high-resolution, realistic images of eyes and face with fine details. This includes techniques to enhance appearance and geometric realism of synthetic images.- Conditional image generation based on specific conditions or constraints, such as metadata, text-based categories, image masks, or a combination of multiple input modalities.- Controllable generation of image, enabling control over generated images of eyes and face by manipulating specific attributes like style, appearance, pose, lighting, and other semantic factors.- Cross-domain image translation from one domain to another while preserving important characteristics, such as style transfer, domain adaptation, or image-to-image translation.- Few-Shot or Zero-Shot Learning: Techniques that allow models to generate images with minimal or zero examples by leveraging prior knowledge or meta-learning approaches.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. **Required Skills:** Research Scientist Intern, Synthetic Image Generation (PhD) Responsibilities: 1. Design and execute algorithms in the domain of computer vision, machine learning, computer graphics, and generative AI. 2. Conduct in-depth literature reviews and build knowledge of the latest advancements in AI-based image generation techniques. 3. Collaborate with our research team to design and implement novel algorithms for synthetic image generation or translation. 4. Experiment with cutting-edge machine learning models and frameworks to enhance image synthesis capabilities. 5. Analyze and evaluate model performance, iterating on approaches to improve image quality, realism, and diversity. 6. Document and share research findings, contribute to technical reports, and potentially publish in academic or industry conferences/journals. **Minimum Qualifications:** Minimum Qualifications: 7. Experience in Python or C++ 8. Experience with ML frameworks such as PyTorch or Tensorflow 9. Experience in one or more of the following: generative AI, computer vision, computer graphics (e.g. appearance, geometry, physically-based modeling), or machine learning (e.g. efficient deep learning, domain adaptation, transfer learning) 10. Strong analytical and problem-solving skills with a passion for innovation and cutting-edge research 11. Excellent written and verbal communication skills, with the ability to present complex ideas clearly and concisely 12. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 13. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, or first-authored publications at leading journals or conferences such as CVPR, ECCV/ICCV, BMVC, NeurIPS, ICML, ICLR, CHI, SIGGRAPH/SIGGRAPH Asia, ICRA, IROS, RSS, TPAMI, IJCV, etc 14. Contributions to open-source projects, publications, or relevant projects demonstrating expertise in synthetic image generation 15. Experience with cloud computing platforms and distributed computing for large-scale experiments 16. Demonstrated software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) 17. Experiences working on high volume image data processing or synthesis **Public Compensation:** $7,650/month to $12,134/month + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. We are now looking for a Research Scientist New Graduate with a focus on Machine Learning Systems (MLSys). NVIDIA Research is seeking exceptional systems researchers to contribute to the development of hardware, software, and infrastructure technology for ML systems of all scales. Advances in AI/ML heavily rely on the development of efficient, scalable, resilient, and trustworthy systems for training, fine-tuning, and serving ML models. AI/ML applications are also pushing the limits of both personal devices and warehouse-scale data centers. All layers of AI systems need to be co-designed and co-optimized to maximize performance and energy efficiency, improve scalability, and support emerging algorithms in this space. We are seeking candidates that have a proven track record of research excellence, a broad perspective on systems design across the full hardware/software/infrastructure stack, and depth in one of the layers such as AI/ML systems, operating systems, distributed systems, data management, cloud computing, and computer architecture. What you'll be doing: * Understand and analyze the efficiency, scaling, and resilience challenges in ML systems, algorithms, and applications. * Develop creative systems solutions (hardware, software, infrastructure) for future ML systems of all scales. * Contribute to the co-design of next-generation AI/ML algorithms and systems. * Collaborate with a diverse set of research and product teams across the company, spanning software, hardware, AI, and networking. * Publish original research and speak at conferences and events. What we need to see: * Recent graduate with a Ph.D. in CS/CE/EE with a strong background in operating systems, distributed systems, inference and training systems, data management systems, networking, cloud computing, and/or computer architecture (or equivalent experience). A strong publication, patent, and research collaboration history is a huge advantage. * Demonstrated expertise in one specific area with the ability to become the go-to resource within a team having varied backgrounds. * Background with experimental research and development. * Experience with C, C++, Python, and/or scripting languages. * Experience with using AI tools for analysis, design, and code development. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 258,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until December 22, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Business UnitWhat the Role Entails 1. Engage in the research and development of large-scale video world models, including the design and construction of training datasets, foundational model algorithm design, optimization related to pre-training, SFT, and RL, model capability evaluation, and exploration of downstream application scenarios. 2. Analyze R&D challenges scientifically, identify performance bottlenecks, and develop solutions based on first principles to accelerate the development and iteration of world models, ensuring competitiveness and leadership. 3. Explore diverse paradigms for world model implementation, research next-generation model architectures, and push the boundaries of world model capabilities. Who We Look For 1. Bachelor's degree or higher (preferred) in Computer Science, Artificial Intelligence, Mathematics, or a related field. 2. Solid foundation in deep learning algorithms and proven experience in large model R&D. Candidates with experience in Diffusion Models and Autoregressive Models, publications in top-tier conferences, or practical experience in text-to-image/text-to-video generation are preferred. 3. Familiarity with implementation details of deep learning networks and operators, model tuning for training/inference, CPU/GPU acceleration, and distributed training/inference optimization. Hands-on experience is a plus. 4. Participation in ACM/NOIP competitions is highly desirable. 5. Strong learning, communication, and teamwork skills, coupled with a keen sense of curiosity. Location State(s) US-Washington-BellevueThe expected base pay range for this position in the location(s) listed above is $149,000.00 to $279,800.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

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 **************.

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

About the Role We're looking for an experienced Staff / Senior Staff Research Scientist to push the boundaries of applied machine learning and AI at Opendoor. While this role will have a significant impact on our valuation systems - ensuring we provide the most accurate and transparent pricing possible - the scope goes well beyond pricing. You'll work across a range of challenging ML problems, from multi-modal modeling to operational optimization, helping us rethink how we use structured and unstructured data to make better decisions for our customers. What You'll Need Strong software engineering and coding skills in Python, with experience contributing to production codebases 9+ years of experience developing and deploying ML models end-to-end - from research and prototyping to implementation in production systems Hands-on experience with deep learning architectures, including ConvNets, Transformers, or similar Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field Solid foundation in statistics and experimental design Strong communication and collaboration skills - you're comfortable working with cross-functional stakeholders and can communicate technical ideas clearly Nice to Have Familiarity with Pyspark and distributed data processing Background in search, recommendation systems, or personalization Experience working with large language models (LLMs) or vision-language models (VLMs) A genuine interest in real estate - no prior experience required, but you'll engage deeply with housing data What You'll Do Design and deploy architectural improvements to our deep neural network (DNN)-based home valuation models Build interpretable ML models that can help us explain pricing decisions to customers Incorporate unstructured data - like images, videos, or text - into our forecasting and valuation pipelines using cutting-edge AI models (LLMs, VLMs, etc.) Collaborate with Engineering and Ops to enhance our human-in-the-loop pricing systems Improve the feature engineering and model training pipelines that power our production systems Rethink our risk and optimization models using real-world data and domain insight We're a small, nimble team - there's ample opportunity to work across the entire research and modeling stack. Compensation The base pay range for this position is $238,400 - $327,800 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees. About us…. Powering life's progress, one move at a time Since 2014, we've been reinventing life's most important transaction with a new, simple way to buy and sell a home. The traditional real estate process is broken, and our mission is clear: build a digital, end-to-end experience that makes buying and selling a home simple and certain. We're a team of problem solvers, innovators, and operators building the largest, most trusted platform for residential real estate. Whether it's starting a family, taking a new job, or making a life change, we help people move forward with confidence. This work isn't easy, and it's not for everyone. But if you want to be part of a team that's tilting the world in favor of people who want to sell, buy, or own a home then you'll find purpose here. Opendoor Values Openness We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. We collect, use, and disclose applicant personal information as described in our personnel privacy policies. To learn more, you can find the policy details for California residents here and for Canada residents here. We are committed to assisting members of the military community in utilizing their skills at Opendoor. U.S. candidates are able to review your military job classification at MyNextMove.org and apply for positions that align with your expertise. At Opendoor, we are committed to providing reasonable accommodations throughout our recruitment processes for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws. If you require assistance or a reasonable accommodation, please contact us at ********************************.

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

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. Cobot is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics. To all recruitment agencies: Cobot does not accept agency resumes. Please do not forward resumes to our employees. Cobot is not responsible for any fees related to unsolicited resumes.

Join Collaborative Robotics this summer as an AI Research Engineer Intern, and evaluate modern AI/ML approaches for bimanual robotic manipulation. You'll be part of a small research team focused on understanding how recent AI/ML methods perform on real hardware - identifying where it succeeds, where it struggles, and what practical adjustments might help. This will involve reading and writing code, reading academic papers, and running experiments to evaluate and present results. This role is well-suited for strong undergraduate seniors or graduate students (M.S. or Ph.D.) who want hands-on exposure to ML software engineering for robotics and experience training models on physical robots in an industry setting. This role is located at our Seattle, WA office. This is a full time, 3-month (12-week) internship running June-August 2026. The application deadline for this role is January 11th, 2026. Interviews will take place mid-late January 2026. Key Responsibilities: * Review and present learnings from ML research papers on robotic manipulation. * Evaluate and augment code to probe the strengths and weaknesses of research methods. * Train ML models. * Contribute to data collection. * Take part in team standups and demos, to see how industry research is conducted. Minimum Qualifications: * Currently enrolled in a master's or PhD program, or in the final year of an undergraduate program, in a relevant scientific discipline (e.g., Computer Science, AI/ML, Mathematics, Physics, Engineering, or a related field). * Demonstrated capability in software engineering, including Python proficiency. * Experience with implementation of ML research models and methods. * Eagerness to learn and collaborate with others. * Highly motivated teammate with excellent oral and written communication skills. * Enjoy working in a fast paced, collaborative and dynamic start-up environment as part of a small team. * Able to work full-time (around 40 hours/week) onsite in Seattle, WA for the duration of the internship. * Must have and maintain US work authorization. Preferred Qualifications: * Understanding of imitation learning, reinforcement learning, transformer models, and diffusion models. * Published papers in relevant ML / robotics fields. * Open-source contributions to ML / robotic learning code projects. 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.

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.

Sleeper is building the leading platform to connect friends over sports. On Sleeper, fans can check scores, play games, chat, share memes, and more. We have over 10 million fans on our platform worldwide, and we continually add new games and social features to expand the ultimate digital playground for sports fans. Hybrid (2 days): SF Bay Area Remote: California (non-SF), Oregon, New York City, or PST hours, with willingness to relocate full-time About the Design and Research Team We'll jump into any sport or game together-sometimes in the name of “research.” We work hard and play hard, from bi-annual design trips to game-time and company-sponsored fantasy leagues We're customer-obsessed and proud to craft experiences users love If You're Drafted, You'll… Support research projects and help synthesize findings for the team Monitor users' app engagement metrics using internal dashboards Conduct benchmarking and ongoing monitoring of our competitors for updates Help set up and take part in UX quality assurance reviews We're scouting for team players who… Are pursuing a degree in a related field with a graduation date in 2025, or new grad with around 1 or fewer years of experience Understand the fundamentals of user research and have a strong attention to detail Love collaborating and can juggle multiple projects Thrive in a fast-paced environment as a proactive self-starter-at Sleeper, we go above and beyond and sweat the details Have an eagerness to learn and are genuinely curious or passionate about sports Extra points if you… Hold a degree in HCI, information sciences, stats, data analytics, human-centered design, or a related field Have run usability tests-in-person or remote-for mobile apps Are skilled with remote testing tools, surveys, or analytics dashboards Have experience with fantasy sports, daily fantasy, or sports betting-or just a serious passion for football or basketball More about the internship... Join a small cohort of interns collaborating with mentors and senior team members. Get onboarded to our research process and ramp up to full projects, including a capstone. Completing the 12-week program gives you priority for our open full-time roles. Sleeper believes in quality over quantity, and intentionally keeps our team small as a result. In past roles, our team members found it very hard to make a big impact when companies grow too large in size, which has a detrimental effect on the product and the impact any single individual can have. Our team includes designers, engineers, product experts, and finance & operation focused on one thing - connecting people over sports. We believe in fair and equitable pay. Certain locations in the United States require job postings to include a reasonable estimate of the base salary range and/or a general description of benefits and other compensation applicable to the role. For this role in those locations, a reasonable estimate of the base compensation range for new hires is $20 USD to $32 USD per hour. No overtime work allowed, and the internship will be for 3 months or otherwise negotiated; salary upon potential, full-time conversion will be adjusted and further negotiated. Please note that the compensation range for this role takes into account a wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. The policy of Sleeper is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity. Sleeper is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by sending an email to ****************. Sleeper is backed by Silicon Valley's top investors, including Andreessen Horowitz, General Catalyst, and Expa. To learn more, visit us online at ***************

Clinical Research Investigator DM Clinical Research, the largest privately-owned research management organization in the Houston area and one of the top 50 in the country, is looking for an Investigator for our sites in Seattle, WA. This individual will conduct all clinical trials (studies) according to ICH, GCP, local regulations, study protocols, and company processes. Responsibilities Ensures the medical well-being and safety of the participants through the safe performance and execution of the studies. Assists in maintaining clinical oversight and quality on the studies registered on and delivers on study targets, thereby contributing to the commercial success of the site. Reviews enrollment progress, pre-screening and screening success rates, screen failure rates, safety, and retention of participants. Interprets protocols and IB and participates in initiatives to strategize for patient recruitment. Carries out clinical evaluation and assessment of participants to ensure eligible participants are enrolled onto studies. Ensures and protects the welfare and safety of participants through ethical conduct. Fulfills and comply with all medical duties as per protocol, SOP/COP and ICH GCP and local regulations. Exercises meticulous attention to detail in documentation and patient care. Requirements Medical License (MD, DO) At least 2 years of experience as a Clinical Research Investigator. Spanish Bilingual a plus.

The Department of Electrical & Computer Engineering (ECE) at the University of Washington (UW) invites applications for a full-time, non-tenure-track position as Research Assistant Professor in the area of photonic systems and quantum technologies. The appointment will be for an initial term of three years, with the possibility of renewal, subject to funding and performance. UW ECE is a top-ranked department that cultivates innovation and impact through cutting-edge research and education. Our faculty collaborate broadly across academia, industry, and government institutions to address pressing global challenges in health, energy, technology, and the environment. Learn more at *************** The successful candidate will join the Laboratory of Photonic Systems, contributing to federally funded research efforts, including programs supported by the Defense Advanced Research Projects Agency (DARPA). The position emphasizes both independent research leadership and collaborative project management within a dynamic team of faculty, postdocs, and graduate students. The successful candidate will be expected to engage in research in photonics and/or quantum technologies, lead federally funded research projects, provide mentorship and leadership in an academic research environment, and work across disciplines and contribute to collaborate research efforts. University of Washington faculty engage in teaching, research, and service. The base pay range for this position will be $11,000-$13,000/month ($132,000-$156,000/year) commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination. Responsibilities · Research Leadership (70%) o Lead experimental research in photonic integrated circuits, cavity optomechanics, and related quantum information technologies. o Design, simulate, and prototype advanced photonic devices. o Oversee data collection, analysis, and dissemination of research findings in high-impact venues. o Manage and mentor graduate students, fostering a collaborative research environment. · Technical Documentation and Reporting (20%) o Prepare progress reports, milestone documentation, and presentations for funding agencies. o Contribute to proposal writing and development of new research initiatives. · Service and Administration (10%) o Ensure compliance with laboratory safety protocols. o Oversee procurement of research equipment and supplies. o Support departmental activities and outreach as appropriate. Minimum Requirements: · PhD or foreign equivalent in Electrical Engineering, Physics, Applied Physics, or a related field. · Demonstrated expertise in one or more of the following areas of integrated photonics: device design, simulation, fabrication, and/or characterization. · A record of high-quality research as evidenced by publications, presentations, or equivalent outputs.

IEH Laboratories, a Leader in Food Safety, is now accepting applications for a Postdoctoral Research Scientist (Food Microbiology or related field) position at its facility in Seattle, WA. Applicants must possess a PhD degree in Food Microbiology, Food Science or a related topic. The candidate should be highly motivated and proactive, have a strong passion for food microbiology/safety and food science, and be willing to do their best to help our clients on their requested projects. This position works as part of the Special Projects and/or consulting team at IEH, which perform a variety of projects in food science and, food microbiology, as needed, in a timely manner. Occasional work on weekends, extended hours, and or presence in the lab outside of the normal schedule are sometimes required. This position may require occasional travel assignments, as per the projects' needs. Upon receiving training, the Postdoctoral Research Scientist is expected to help with bench work, proposal/report writing, data analysis, general laboratory works, and any other related tasks assigned as per day-to-day and project needs. Additionally, for travelling projects, assignments may include visiting client sites (spending multiple days on site if needed), taking environmental samples, sample shipping to the labs, on-site validation studies, on-site inoculation work, performing on-site observations of manufacturing and processing practices, data analysis, report writing, consulting, and any other task assigned by the consulting team leadership. The pay range for this position is $78,000.00 - $80,000 annually. This is a full-time position and is eligible for the following benefits after a brief waiting period: medical, dental, vision, life/AD&D insurance, long- and short-term disability insurance, health and dependent care FSA plans, employee assistance program, 15 days of paid time off per year for sick leave and/or vacation, 6 paid holidays per year, 3 days paid bereavement leave, and 401(k) (with up to 3% employer match after eligibility criteria are met). Due to exposure to various food allergens in the laboratory environment, applicants with moderate-to-severe food allergies are discouraged from

AltPep Corporation is a biomedical company based along Seattle's Lake Union developing groundbreaking disease-modifying treatments and detection tools for amyloid diseases by targeting a novel early molecular trigger: alpha sheet oligomers. Our lead programs focus on Alzheimer's and Parkinson's diseases, with other amyloid diseases on the horizon. AltPep's goal is to change the course of these debilitating diseases that affect over a billion people around the globe. AltPep draws its origins to Dr. Valerie Daggett's lab at the University of Washington's Bioengineering Department. We are looking for additional team members to join us at our state-of-the-art, headquarters located on the Eastside of Lake Union in Seattle. About this Role We are seeking a meticulous and dynamic Research Associate to join our team. You will be responsible for conducting and supporting laboratory research, including peptide synthesis, characterization (spectroscopy, biophysical, etc.), formulation activities, bioanalytical (pharmacokinetics) experiments, and stability studies, while ensuring the highest standards of quality and precision. Your contributions will be critical to the success of our research and development efforts, and you will have opportunities to work both independently and collaboratively within our innovative team. What You'll Do: Characterize peptides by UHPLC, mass spectrometry, circular dichroism, etc. Engage in chemical synthesis and peptide modifications to meet research and development objectives. Operate both manual and automated solid-phase peptide synthesis systems. Conduct (prep- and semi-prep) HPLC purification of peptides. Support novel Drug Product formulation development Support bioanalytical experiments and stability studies Troubleshoot and maintain instrumentation to ensure smooth laboratory operations. Maintain rigorous quality of experimental details outlined in Standard Operating Procedures (SOPs). Document research findings meticulously in lab books and records. Work both independently and collaboratively within an innovative team to achieve project goals. Prioritize and organize workflow to manage multiple tasks efficiently. Maintain a clean and orderly laboratory environment. Analyze and interpret data and generate reports Regularly communicate results, in written form and oral presentations, to the rest of the team and occasionally to senior management and in All-Company meetings. What You Bring: Must Haves: Bachelor's degree in chemistry, chemical engineering, biochemistry, bioengineering, or a related field. Experience in instrumental analysis using HPLC, UHPLC, and LC-MS. Ability to conduct quantitative analysis and apply quality control criteria effectively. Meticulous record-keeping abilities and attention to detail. Flexibility to adapt to a fast-paced and dynamic work environment and responsiveness to quick changes in tasks/priorities. Ability to learn rapidly and implement new laboratory techniques as needed Strong organizational skills to manage multiple tasks and prioritize workflow. What Will Separate You From the Rest: 2+ years of post-graduate experience in a relevant field, with previous biotech experience being a plus. Hands-on experience with solid-phase peptide synthesis and HPLC purification. Experience with productivity and scientific software, including ChemDraw /Marvinsketch Familiarity with PubMed and other information sources for pharmaceuticals. Ability to work independently while also valuing team collaboration. Knowledge of Quality Management Systems. Ability to learn and implement new analytical and synthetic chemistry techniques. Effective communication practices with peers and senior personnel. Flexible approach to structure and workflow management. Commitment to maintaining high standards of precision and cleanliness in laboratory work. Debilitating diseases such as Alzheimer's and Parkinson's affect more than a billion people worldwide. Drawing upon decades of academic research, AltPep was founded to create groundbreaking tools to detect and treat such diseases. Although a young company, AltPep has been recognized for its scientific accomplishment and potential. While still small and nimble, we have grown to a team of thirty talented individuals dedicated to improving the lives of billions. We continue to grow and are looking for talented people to join the team and help us accomplish our mission. We offer competitive compensation to those joining our fight. The compensation range for a Research Associate is $78,000 - $88,000, depending on experience. AltPep takes care of its employees and offers generous stock options, medical, vision, and dental coverage for its employees and their dependents. We understand, and value, life outside of work and offer competitive PTO so you can rest and recharge.

The main responsibility of Domino's Pizza Delivery Driver is to deliver the orders to the designated places on time. Punctuality and honesty is the attitude required from applicants for this position. Delivery Drivers are also expected to know how to read a basic road map because this will be handy when it comes to looking for unfamiliar territory. The orders must be delivered right on time and given to customers in a very courteous manner. It is also expected for Delivery Drivers to make sure that the company's delivery vehicles are well maintained before and after the shift. Offering: $16.66 - $18.50 per hour with limited medical benefits. Premera Blue Cross offered at 75% of premium, after 90 days of full time employment.(36+ hours) Paid sick leave per Washington law Additional Information All your information will be kept confidential according to EEO guidelines. This job posting is for a position in a store owned and operated by an independent franchisee, not Domino's Pizza LLC, Domino's Pizza Franchising LLC, or Domino's Pizza, Inc. (“Domino's Corporate”). This means, among other things, that the independent franchisee is alone responsible for and will independently make all decisions concerning employment matters for the store, including those relating to hiring, firing, discipline, supervision, compensation and benefits, staffing, and scheduling. Domino's will not receive a copy of any application you submit for this job posting and will not have any control over whether you receive an interview and/or are ultimately hired. Further, Domino's does not control and is not responsible for the employment policies and practices of independent franchisees. If you are hired for this job posting, the independent franchisee will be your only employer, and you will not be an employee of Domino's.