Principal research scientist jobs in Marysville, WA - 1,242 jobs

Intelligent Creation team focuses on conducting cutting-edge research and development in the area of Computer Vision, Computer Graphics, and particularly Generative AI. We continuously transfer innovative technologies to TikTok products, and inspire TikTok users' creativity. We are looking for talents at all levels to join us on this exciting journey! Responsibilities: * Conduct cutting-edge research and development in computer vision, generative AI and other related fields; * Transfer advanced technologies to TikTok products; * Explore new products with artificial intelligence technology at its core.Minimum Qualifications 1. 3+ years of research and practical experience in one or more areas of computer vision, including but not limited to (preferring candidates with publications in top-tier venues such as CVPR, ICCV, SIGGRAPH, NeurIPS): * Generative models, diffusion models, GAN * Image and video synthesis/manipulation/editing * Multi-modality, vision and language * Generative human, neural motion synthesis * Image and video understanding * Human modeling (2D and 3D pose estimation, hand pose estimation, human shape estimation) * Facial analysis 2. Highly competent in algorithms and programming; Strong coding skills in C/C++ and Python. 3. Work and collaborate well with team members. 4. Ability to work independently.

We are committed to building the core architecture for Artificial General Intelligence (AGI) systems that match or surpass human-level capabilities. As a key contributor to our core R&D team, you will help develop large-scale models with multimodal perception, autonomous learning, and reasoning abilities, driving their generalization to real-world applications. Our goal is to design a native multimodal system-capable of understanding and generating across vision, speech, and text-while interacting deeply with the environment to catalyze the transition from AGI to ASI (Artificial Super Intelligence). Responsibilities: Design unified large model architectures with integrated capabilities in multimodal perception, reasoning, memory, and generation (across vision/audio/text). Build systems that support continual learning, hierarchical memory, autonomous exploration, and self-evolution. Advance the development of agent-based systems with autonomous task planning, cross-modal interaction, tool usage, and self-improvement capabilities. Contribute deeply to the design of core components such as general representation learning, synchronized audio-visual modeling, world models, and sparse modeling. Key Research Areas: Multimodal Unified Architecture: Native co-frequency modeling and cross-modal reasoning across vision, speech, and language. Continual Learning & Memory Mechanisms: Architectures that separate long-term memory from the core model to enable memory recall and task transfer. World Modeling & Causal Reasoning: Enabling models to predict environmental states, plan behaviors, and update cognitive structures dynamically. Sparse & Modular Architectures: Scalable, efficient, and interpretable ultra-large sparse model design. Self-Evolution & Active Data Generation: Mechanisms for self-growth through reinforcement learning, self-supervision, and environment interaction. Cross-Modal Understanding & Generation: Strengthening joint generation and decision-making capabilities in real-world physical environments. Intelligent Agent Capability Transfer: Systematic enhancement of task generalization and tool-composition skills. Who We Look For Requirements: Expertise in Transformer-based architectures and their applications in language and multimodal domains. Hands-on experience in building or optimizing billion-scale models; familiar with training paradigms such as SFT (Supervised Fine-tuning), RLHF (Reinforcement Learning with Human Feedback), and self-supervised learning. Preferred qualifications include deep understanding or practical experience in one or more of the following areas: Multimodal models (e.g., vision-language models, audio-video models) Reinforcement learning and autonomous agent systems Complex reasoning and planning (e.g., search + LLMs, world modeling) Sparse modeling and dynamic routing mechanisms Strong engineering and system thinking capabilities, with the ability to translate cutting-edge research into production-level AGI model systems. Publications in top-tier conferences/journals such as NeurIPS, ICLR, CVPR, ACL, etc., are highly desirable. Location State(s) US-Washington-BellevueThe expected base pay range for this position in the location(s) listed above is $134,900.00 to $253,400.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

At Meta, we're building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences. To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world. We're seeking a Research Scientist ready to use their skills in system design and modeling and with a knowledge of a wide variety of components and technologies. These roles will require research and problem-solving skills, as well as fabrication and prototyping to design, develop, and construct novel prototypes and architectures. These roles will work in a focused incubation team and collaborate with a large and wide-ranging set of scientists and engineers in the greater organization. **Required Skills:** AI Research Scientist, Robotics Responsibilities: 1. Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence 2. Invent/improve novel data-driven paradigms for robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc.) 3. Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence 4. Develop algorithms based on state-of-the-art machine learning and neural network methodologies 5. Define, build and benchmark new functionality needed for the next generation of AI 6. Conduct research towards long-term product goals while identifying intermediate milestones 7. Lead, plan, and execute novel research based on long-term objectives of the organization **Minimum Qualifications:** Minimum Qualifications: 8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 9. PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience 10. Experience with any of the following research areas: robotics, motion planning, embodied AI, human-robot interaction, sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation, digital agents, vision language models, computer vision, egocentric perception, and/or Large Language Models 11. 5+ years of industry experience in relevant robotics related research areas, such as: Vision Language Models robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI **Preferred Qualifications:** Preferred Qualifications: 12. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV) 13. 7+ years of industry experience in relevant robotics related research areas, such as: robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI 14. Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) 15. Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources 16. Experience building systems based on machine learning and/or deep learning methods 17. Experience with deep learning frameworks (such as PyTorch, Tensorflow) and Python 18. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward 19. Experience working with robot simulations and real-world hardware 20. Experience working and communicating cross functionally in a team environment **Public Compensation:** $219,000/year to $301,000/year + bonus + equity + 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.

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! 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. Our goal is to recruit top talent and is dedicated to promoting outstanding employee experiences where all individuals are valued and offered equitable opportunities. 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 is looking for a Applied Research Scientist who will apply AI and applied research techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers. Partnering with the business units, the candidate will be building various products that address challenging business problems through our customers' full lifecycle, from customer analytics to marketing media optimization. By using statistical and econometric methods, predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting projects like attribution, media mix modeling, budget optimization, personalization, causal analysis, time series analysis. Ideal candidates will have a strong academic background as well as technical skills including applied statistics, machine learning, data mining, and software development. Familiarity with working with large-scale datasets and big data techniques would be a plus. What You'll Do * Develop predictive models on large-scale datasets to address various business problems with advanced statistical modeling, machine learning, and analytics techniques. * Develop and implement scalable and efficient modeling algorithms that can work with large-scale data in production systems * Collaborate with product management and engineering groups to develop new products and features. What You Need to Succeed * PhD or MS in Computer Science, Statistics, Electrical Engineering, Applied Math, Operations Research, Econometrics or equivalent experience required graduating between December 2025 - June 2026 * 0-2+ years of experience in specific skill/field(s) * Deep understanding of statistical modeling, machine learning, deep learning, or data mining concepts, and a track record of solving problems with these methods. * Proficient in one or more programming languages such as Python, Scala, Java and C * Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn * Knowledge and experience of working with relational databases and SQL * Strong analytical and quantitative problem-solving ability. * Excellent communication, relationship skills and a strong team player. 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 $120,700 -- $238,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In Washington, the pay range for this position is $146,300 - $211,850 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call **************.

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

JOB TITLE: Senior Scientist - Agricultural Formulations REPORTS TO: Chief Scientific Officer STATUS: Full time, Exempt SALARY RANGE: $130,000-$160,000/year based on experience & qualifications BENEFITS: Medical, dental, and vision insurance, optional FSA/HSA, 401k with 6% employer match, life and AD&D insurance, Employee Assistance Program, short & long term disability, tuition reimbursement, 21.67 days of paid time off + 10 holidays About Tidal Vision: We believe that sustainability should not require customers to compromise on price, convenience, or performance. Our mission is to create positive and systemic environmental impact by making our biopolymer solutions cost competitive, more convenient, and better performing than the synthetic chemicals we displace. We value innovation and take pride in challenging the status-quo; we choose to view obstacles as opportunities. We value new ideas and encourage the team to apply creativity and invent new solutions to meet challenging demands. We foster open, direct communication, and a collaborative working environment through our unique approach to work culture. We value our employees and demonstrate that through our compensation and benefits programs and opportunities for growth and development. About Tidal Visions Unique Work Culture: Tidal Vision strives to build and invest in the highest performing and most innovative team. We put our people and customers above process, avoid company-wide rules as much as possible, and have the courage to take unusual approaches to advance our mission. With this approach, we believe we can create a more flexible, fun, stimulating, creative, collaborative, and innovative organization. Our commitment to developing, practicing and promoting direct and open communication, responsibility and freedom, and leading with and seeking context is a responsibility for every role at Tidal Vision. JOB SUMMARY: The Senior Scientist will play a critical role in advancing Tidal Grow AgriScience`s Research & Development pipeline. This position requires deep expertise in agricultural sciences, product development, and technology scale-up, as well as the leadership skills to guide teams and collaborate across functions. The Senior Scientist will lead product concept initiation, improvement of existing products, research trial design and execution, and product life cycle assessments. This role blends scientific rigor with commercial awareness, translating cutting-edge research into practical, sustainable solutions that strengthen both grower outcomes and company growth. ESSENTIAL JOB FUNCTIONS: Lead innovation and product concept development, including improvements to existing product lines. Drive technology development, scale-up and translation from laboratory research to commercial application. Provide scientific and strategic recommendations to leadership, management, and stakeholders. Design, manage, and analyze field and greenhouse trials, delivering data-driven insights. Mentor and lead cross-functional R&D teams. Conduct product life cycle assessments from discovery through commercialization. Collaborate with regulatory, product development, and business teams to align science with market and customer needs. Apply computational R&D and advanced statistical analysis to optimize performance. Prepare and submit research proposals; represent Tidal Grow AgriScience with partners, institutions, and industry stakeholders. Utilizing your experience, you will provide input to the PD and CAS Teams regarding customer needs and ensure product and offer innovation matches the strategy for each account. Generally representing the mission, vision, and values of Tidal Grow AgriScience with customers and other stakeholders. BASIC QUALIFICATIONS: Masters degree or Ph.D. in Agricultural Science, Plant Science, Chemistry, Chemical Sciences, or a related field. Over 10 years of proven R&D experience in agriculture, fertilizers, pesticides, or related industries, with expertise in product development, technology scale-up, and computational R&D. Hands-on experience working with biopolymers, particularly chitosan, in developing agricultural inputs, coatings, and controlled-release formulations. Strong knowledge of ag industry products, applications, and regulations. Demonstrated leadership ability, with experience inspiring, mentoring, and motivating teams. Excellent communication, proposal writing, and relationship management skills. Proven track record of delivering scientific and commercial outcomes. PREFERRED QUALIFICATIONS: Deep understanding of crop production, regenerative practices, sustainability, and market trends. Strategic thinker with a data-driven approach to decision-making. Negotiation skills. Ability to work independently and prioritize effectively in a dynamic environment. Licensing & Special Requirements Incumbent is subject to a criminal background check. WORKING CONDITIONS & PHYSICAL REQUIREMENTS Position is based on-site in Bellingham, WA. Some travel may be required for research trials, conferences, or partner engagement. The employee is frequently required to stand, talk, hear, smell, visually inspect materials, walk, etc., and sometimes needs to lift and/or move up to 30 pounds while working around crop protection products. While performing the duties of this job, the employee is regularly required to use hands and fingers to handle, feel or operate objects, tools, or controls and reach with hands and arms. Tidal Vision provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. The statements contained herein reflect general details as necessary to describe the principal functions of this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned including work in other functional areas to cover absences or relief, to equalize peak work periods, or otherwise to balance the workload. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the employer.

The Department of Psychiatry and Behavioral Sciences within the UW School of Medicine is the third largest clinical department within the School of Medicine with 330 full-time faculty members, 460 courtesy faculty members, and over 350 staff. Department faculty provide clinical services in 5 hospitals, 14 primary care locations, and several outpatient sites in addition to telepsychiatry consultations to more than 150 clinics in Washington and beyond. As the only academic psychiatry department serving the five state WWAMI region (Washington, Wyoming, Alaska, Montana, Idaho), the Department's highly competitive residency training program is largely responsible for developing the mental health workforce in the Pacific Northwest. The Department's robust research portfolio totals $67 million in grants and contracts per year for projects ranging from clinical neurosciences to treatment development to health policy and population health. The Department is recognized as an international leader in developing, testing, and implementing Collaborative Care, an integrated care model increasingly seen as a solution for population-based mental health care. Other areas of excellence include Addictions, Autism, High Risk Youth, Neurosciences, and Trauma, and the Department is developing innovative new programs in Technology and Mental Health, Global Mental Health, Maternal and Child Mental Health, and Targeted Intervention Development. Psychiatry is the third largest department in the School of Medicine and the largest non-divisioned department. The overall annual operations funding from all sources is over $130 million. The Department of Psychiatry & Behavioral Sciences within the UW School of Medicine currently has an outstanding opportunity for a Full-time, Temporary Research Scientist/Engineer 4. Seven Directions at the University of Washington is the first national public health institute in the United States to focus solely on improving Indigenous health and wellness. We are committed to cultivating and sharing knowledge, connecting communities and resources, and working to achieve shared goals for future generations. Seven Directions partners to support tribal communities to increase the capacity of tribal health systems designed to prevent and respond to the opioid overdose epidemic and address other health disparities, as well as conducting community-driven and community-designed health research. Our work includes culturally tailored technical assistance, community-engaged culture-centered research, evaluation, training, Indigenizing and decolonizing research, Indigenous data sovereignty, policy translation, convenings, and dissemination strategies. These services aim to improve Indigenous-serving organizations' and systems' data collection and epidemiologic surveillance capacity; increase implementation of evidence-based prevention strategies grounded in values respecting tribal sovereignty and cultural traditions; showcase models of tribal promising practices; utilize Indigenous evaluation approaches, and contribute to the Indigenous knowledge, Indigenous research methods and public health literature. This position (Pro Staff Temp Position (E S)) is in the field of public health research. The position will focus on better understanding and improving Indigenous public health and prevention in the areas of opioid overdose, substance use, and mental health using epidemiological and social science frameworks and data. The Research Scientist (RS) is a key member of the Seven Directions team, works alongside senior team members and guides junior team members in implementing a variety of research, evaluation and training activities, including contributing to project design, grant writing, implementation and management of multiple research projects, IRB submission and modification, data management and data analysis, manuscript development and dissemination, and technical assistance on data and implementation science. The RS will lead and provide collaborative support in deliverables related to overdose prevention Technical Assistance (TA), Indigenous evaluation, urban Indian pilot data analysis, data modernization and broad capacity building and system strengthening in partnership with Indigenous communities. The RS will be focused on updating our AI/AN substance use and mental health environmental scan (from 2019), Tribal Promising Practices (from 2020), Gathering Grounds peer-reviewed manuscript (from 2019) for dissemination, and drafting Seven Directions Indigenous TA models for both peer-reviewed journal and communities, and other related manuscripts. The RS will develop and update data governance policies and protocols as well as research operations protocols for Seven Direction materials. The RS will draft a scope of Indigenous evaluation training materials including peer reviewed literature sources and community data and research, interfacing with CDC partners and executing Indigenous evaluation training. The ideal candidate will bring doctoral level experience working in research, evaluation or training with AI/AN communities as well as an understanding of and humility toward AI/AN historical, contemporary, and cultural contexts. Responsibilities Research study design, grant preparation, data analysis and scientific writing/publication (40%) * The RS will work with Seven Directions team to plan and design opioid, substance use, mental health, or other Indigenous culture-centered research or technical assistance projects related to Indigenous evaluation, Indigenous health and wellbeing and more. * They will take a significant part in project design and operations, including designing project phases; conducting scientific and grey literature reviews, environmental scans; developing interview scripts, project protocols, quantitative surveys; writing grey and scientific manuscripts. * In collaboration with other team members. they will analyze data, formulate conclusions, and present research results in publishable formats, including written documents, presentations, or online modules. * They will work with PIs and faculty to identify external federal, state, local and private grant opportunities. Research and Project Management (30%) * Lead and assist with project management activities, including developing and monitoring project timelines, ensuring work is successfully executed and completed within time frames to meet research objectives and communicate with diverse academic, practice and community partners. * Develop research operations protocols and train staff in implementing the research activities. * Develop technical assistance, training, workshop plans or training materials and participate in delivering or facilitating these interactions with partners. * Lead project- related communications, logistics, and technical support. * Engage in occasional travel to conferences and partner sites. Dissemination of Findings (20%) * The RS will support the dissemination of findings to variety of audiences and in a variety of formats, including academic publications, online forums, webinars and virtual and in-person presentations. * They will contribute to manuscript development and report writing. * They will prepare meeting summaries, progress reports, study deliverables, journal articles and other written materials, and present study findings at meetings as needed. Administration and operations (10%) * Work with PI and senior staff with auxiliary project management duties as requested and anticipate additional areas for support. * Serve on 1-2 Seven Directions internal committees. * Support developing Seven Directions TA model with Implementation Science. * Support TA provision. * Regularly update AIAN substance use, mental health and public health data for dissemination. * Co-develop manuscripts on 7D TA models and implementation, Gathering Grounds principles v2.0, presentations abstracts and other dissemination materials for scientific and community gatherings. * Update Environmental Scan. * Oversee development and implementation and updating of all data governance policies and procedures. Minimum Requirements * A Master's Degree in Public Health, Epidemiology, Psychology, Social Work, Sociology, Information School, American Indian Studies, or related fields, and a minimum of four years working in the field. * Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration. Additional Requirements * Familiarity with or work experience with Indigenous or other underserved populations and settings. * Familiarity with issues affecting American Indian and Alaska Native Indigenous health, healing, cultural diversity and strengths. * Familiarity with public health evaluation including Indigenous evaluation. * Demonstrated fluency in Quantitative and/or Qualitative and/or Mixed Methods research methodology. * Ability to design interview guides, conduct one-on-one interviews and facilitation of focus groups, organize and analyze and summarize qualitative data (interviews, stories etc.). * Ability to develop survey instruments, collect, analyze, interpret and summarize quantitative data. * Experience in community engagement or community based participatory research (CBPR). * Knowledgeable about substance use and disorder in general and among AI/AN communities. * Experience designing and implementing research studies, including identifying and appropriate research instruments and methodologies. * Experience leading the successful publication of grey and scientific literature. * Knowledge and experience with the grant writing process. * Knowledge and prior experience with human subjects institutional review process. * Baseline knowledge of appropriately indicated statistical design based on desired analysis. * Familiarity with literature management software packages, e.g., EndNote, Zotero, etc. and qualitative software management and analysis software packages, e.g., Dedoose, Atlas.ti etc. * Experience working closely as a trusted resource with communities to identify needs, define strategy, develop action plans, identify deliverables, present results, measure outcomes, and provide recommendations. * Knowledgeable about public health communication best practices and effective communication for different populations. * Experience developing and facilitating trainings for adult learners. * Experience facilitating meetings and discussions for internal and external (i.e., community, funders) partners. Desired Qualifications * A Doctoral Degree in Public Health, Epidemiology, Psychology, Social Work, Sociology, Information School, American Indian Studies, or related fields. * Four or more years working in or on behalf of tribal nations and American Indian or Alaska Native (AI/AN) communities in both urban and rural settings. * Advanced statistical analysis and program software knowledge. * Knowledge or prior experience with mixed methods data collection and analysis. * Familiarity with project management tools and/or software packages, e.g., MS Project, Smartsheet, etc. * Indigenous research methods. Compensation, Benefits and Position Details Pay Range Minimum: $99,444.00 annual Pay Range Maximum: $164,328.00 annual 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): 100.00% Union/Bargaining Unit: Not Applicable 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.

The application window is expected to close on: 01/16/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team Splunk, a Cisco company, is building a safer, more resilient digital world with an end-to-end, full-stack platform designed for hybrid, multi-cloud environments. Join the Code Generation group, where we work on automating the code generation process using GenAI techniques. We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco's global engineering capabilities. Our work spans networking, security, observability, and customer experience, designing and deploying foundation models that enhance reliability, strengthen security, prevent downtime, and deliver predictive insights across Splunk Observability, Security, and Platform at enterprise scale. You'll be part of a culture that values technical excellence, impact-driven innovation, and cross-functional collaboration, all within a flexible, growth-oriented environment. Your Impact As a Staff Applied Scientist, you will: Design, build, and deploy advanced AI models for intelligent code generation, contributing across model architecture, experimentation, evaluation, and integration into production systems. Push the boundaries of agentic GenAI by developing models that not only generate code but also reason, plan, self-correct, and interact with tools, APIs, and execution environments to improve reliability and usability. Enhance code-generation capabilities for DSLs and structured languages, helping shape the next generation of developer experiences powered by LLMs in both interactive and automated workflows. Optimize training and inference workflows through efficient data pipelines, distributed training strategies, and model-level performance improvements to ensure low latency, high accuracy, and cost-effectiveness. Partner closely with engineering and product teams to ensure research outcomes are aligned with customer needs and translate into scalable, high-impact product features. Contribute to the scientific culture of the team, sharing best practices in rigorous experimentation, reproducibility, evaluation design, and documentation. Participate in long-term AI innovation by identifying emerging opportunities, proposing new directions, and shaping roadmap priorities in collaboration with research and engineering leaders. Minimum Qualifications PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field with 2+ years of industry or post-doctoral research experience; or a Master's degree with 6+ years of relevant applied ML or research experience. Demonstrated expertise in at least one of the following: Large language models for program synthesis, code understanding, or formal languages Multi-step planning or agentic AI for developer workflows Strong programming proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch or TensorFlow. Experience translating research prototypes into production systems, including deployment, optimization, and performance evaluation. Working knowledge of experimental design, benchmarking, reproducibility, evaluation metrics, and scientific documentation. Preferred Qualifications LLMs for Code Generation - Experience training, fine-tuning, or adapting models such as Code-LLaMA, CodeT5, StarCoder, or GPT-based code models for program synthesis, bug fixing, refactoring, test generation, static/dynamic analysis, or domain-specific languages (DSLs). Domain-Specialized Modeling - Experience building models for structured languages such as SQL, DSLs, configuration languages, or proprietary query/automation languages. Agentic AI & Tool Use - Experience developing systems where models plan, call tools/APIs, self-correct, or execute code iteratively to improve output quality. Structured Reasoning & Planning - Familiarity with techniques such as chain-of-thought prompting, constrained decoding, self-debugging, or reinforcement learning for code-centric tasks. Large-Scale Training & Optimization - Experience with distributed training or inference optimization (quantization, LoRA, batching, caching) to improve latency, cost, and accuracy trade-offs. MLOps & Continuous Evaluation - Exposure to automated retraining, dataset versioning/curation, evaluation harnesses, and reliability monitoring for ML models in production. Research Visibility - Publications in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, ACL, AAAI, KDD) and/or meaningful contributions to the LLM/code-gen research community (open-source, tools, datasets, or benchmarks). 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:The starting salary range posted for this position is $193,800.00 to $245,300.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. 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: $212,300.00 - $317,100.00 Non-Metro New York state & Washington state: $193,800.00 - $282,100.00 * 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.

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.

SystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has multiple assets in various stages of clinical trials for solid tumor and hematologic indications. Alongside ongoing clinical trials. SystImmune has a robust preclinical pipeline of potential cancer therapeutics in the discover and IND-enabling stages, representing cutting-edge biologics development. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. We are looking for a creative and motivated individual to execute and improve our Computational Protein Design pipeline using data-driven approaches to augment our first-in-class multi-specific biological programs. The ideal candidate will have experience applying computational methods to design novel peptides and proteins, with expertise in structural modeling, prediction, and optimization. Responsibilities: * Execute a computational design pipeline for predicting the properties of peptides, natural ligands, de novo proteins, and antibody-based elements via data-driven approach * Drive assay validation, tech transfer, and development initiatives to maintain industry standards; Contribute within the computational protein design group to operate yeast display-based protein discovery platforms * Design new macromolecular therapeutics using structural and sequence analysis, and employ these in silico predictions to iteratively guide the lead development process * Analyze, interpret, document, and present data to the scientific and leadership team * Collaborate with our Antibody Discovery, Protein Engineering, and Immuno-oncology teams to contribute to the company's vision Qualifications: * PhD (or equivalent) in bioengineering, biophysics, biochemistry, molecular biology, cell biology, or a related field * 8+ years of experience using yeast libraries to generate protein binding or therapeutic antibodies required * Experience with relevant macromolecular modeling software (e.g., AlphaFold, RoseTTAFold, RFdiffusion, ProteinMPNN, Gromacs, MOE, Schrödinger) * Expertise in screening and ranking of antibodies (ELISA, multi-parametric flow cytometry, BLI/OCTET) * Proven contribution to therapeutic antibody development and selection is desirable; design and validation of novel biologically relevant antibodies are highly desirable Compensation and Benefits: The expected base salary range for this position is $80,000 - $180,000 annually. Actual compensation will be based on a variety of factors, including but not limited to a candidate's qualifications, experience, and skills. While most offers typically fall within the low to mid-point of the range, we may extend an offer toward the higher end for exceptional candidates whose background and expertise exceeds the requirements of the role. SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply.

SystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has multiple assets in various stages of clinical trials for solid tumor and hematologic indications. Alongside ongoing clinical trials. SystImmune has a robust preclinical pipeline of potential cancer therapeutics in the discover and IND-enabling stages, representing cutting-edge biologics development. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. We are looking for a creative and motivated individual to execute and improve our Computational Protein Design pipeline using data-driven approaches to augment our first-in-class multi-specific biological programs. The ideal candidate will have experience applying computational methods to design novel peptides and proteins, with expertise in structural modeling, prediction, and optimization. Responsibilities: Execute a computational design pipeline for predicting the properties of peptides, natural ligands, de novo proteins, and antibody-based elements via data-driven approach Drive assay validation, tech transfer, and development initiatives to maintain industry standards; Contribute within the computational protein design group to operate yeast display-based protein discovery platforms Design new macromolecular therapeutics using structural and sequence analysis, and employ these in silico predictions to iteratively guide the lead development process Analyze, interpret, document, and present data to the scientific and leadership team Collaborate with our Antibody Discovery, Protein Engineering, and Immuno-oncology teams to contribute to the company's vision Qualifications: PhD (or equivalent) in bioengineering, biophysics, biochemistry, molecular biology, cell biology, or a related field 8+ years of experience using yeast libraries to generate protein binding or therapeutic antibodies required Experience with relevant macromolecular modeling software (e.g., AlphaFold, RoseTTAFold, RFdiffusion, ProteinMPNN, Gromacs, MOE, Schrödinger) Expertise in screening and ranking of antibodies (ELISA, multi-parametric flow cytometry, BLI/OCTET) Proven contribution to therapeutic antibody development and selection is desirable; design and validation of novel biologically relevant antibodies are highly desirable Compensation and Benefits: The expected base salary range for this position is $80,000 - $180,000 annually. Actual compensation will be based on a variety of factors, including but not limited to a candidate's qualifications, experience, and skills. While most offers typically fall within the low to mid-point of the range, we may extend an offer toward the higher end for exceptional candidates whose background and expertise exceeds the requirements of the role. SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply.

At Weston Solutions, Inc. you will do meaningful work and make valuable contributions. Employee-ownership at Weston is a path to professional growth and access to diverse opportunities in a highly connected community that works together across key service areas to make a difference in the environment. Weston continues to evolve and adapt to our changing world as a premier provider of environmental and infrastructure services for over sixty years. In both the public and private sectors our teams help identify, solve, mitigate, and manage critical environmental issues to help clients achieve a more sustainable future. Weston Solutions, Inc. is seeking a mid-level Associate Geologist, Engineer, or Scientist to work with our Superfund Technical Assessment and Response Team (START) performing EPA Investigations, Removal Assessments, and Removal Actions, as well as supporting other federal clients within the Pacific Northwest. This candidate will work within the federal teams providing our clients with accurate and pertinent scientific data according to methods, procedures, and techniques agreed upon. The candidate will provide leadership within a team responsible for delivering sound conclusions and recommendations to clients based upon field investigations and literature reviews within the established project schedules. The position will also be periodically on-call to support EPA emergency response projects as needed. Location: Seattle, WA Knowledge, Skills & Abilities: * B.S. in a Science and 4-6 years of experience in environmental and/or geotechnical sampling, and/or removal oversight. Oil and hazardous materials emergency response experience is a plus. * Ability to plan, lead, and participate in site walks, site evaluations, removal assessments, and removal action oversight projects, including oil, and hazardous materials emergency response projects. * Experience performing site assessments and collecting multimedia samples. * Exposure to various technical and scientific procedures * Ability to lift to 50 lbs. (field equipment, PPE, etc.) * Experience in preparing planning documents to methodically perform field investigations, data reporting, technical report preparation. * Strong organization and communication skills. * Attention to detail and self-starter * Ability to be flexible and adaptable. * Proficiency in Microsoft Office and Adobe Acrobat * Provide technical direction for teams up to 10+ personnel. Preferred Skills: * A minimum of four years multimedia sampling. Preferred experience in analytical method selection and data management and interpretation * Field instrumentation. Proficient in the use of various air and water monitoring instruments (PID/FID, multi gas meters, etc.). Abilities include calibration of field instruments, implementation in field, and interpretation of results. * Familiarity with the Incident Command System (ICS) 100-800. Completion of ICS courses a plus. * General understanding of the NCP, Oil Pollution Act and CERCLA. * 40-Hour HAZWOPER * Able to work in Levels C/B/A PPE Technical and Operational Scope: * Identifies staff in alignment with tasking, plan, and document field activities, and prepare daily and final reports for EPA and other federal clients within established budgets and schedule. * Exercises judgment on applicability of methods and approaches in use and determines best approaches to problem solving when standard procedures are inadequate. * Determines best method of data gathering, database management, and analysis of data to achieve goals. * Consults with outside specialists to obtain most accurate and timely data possible while meeting project specifications and timetables. * Calibrates and maintains a variety of multi-media monitoring and sampling equipment. * Knowledge of preparing cost estimates and scope of work for project execution. * Proficient in the writing of technical documents including sampling, data, and safety plans. * Use level D-A PPE to make entries into potentially hazardous areas. * Duties may include rotations as an "on-call" responder available 24 hours a day for one week at a time, and periodic Hazmat and oil spill emergency responses/removal assessment/action assignments. We fully invest in our people: Weston provides a generous, comprehensive benefits package program that offers employees high value options with solid financial protection, meeting the personal needs of its people and their families. * Medical, Dental, Vision, 401K with base and matching employer stock contributions. * Paid time off includes personal, holiday, and parental leave. * Life and disability plans. * Critical illness and accident plans. * Work/Life flexibility. * Professional development opportunities. Compensation will vary based upon experience, education, skill level, and other compensable factors.

Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company's Think Big leadership principle to the limits. If you're interested in innovating at scale to address big challenges in the world, this is the team for you. Our team rewards curiosity while maintaining a laser‑focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup‑like environment. At the forefront of both academic and applied research in this product area, you have the opportunity to work together with a diverse and talented team of scientists, engineers, and product managers and collaborate with other teams. We are seeking a Principal Applied Scientist working on machine learning applications in life sciences. This role combines scientific leadership with hands‑on innovation, driving solutions from exploratory research through production‑ready solutions deployment, while maintaining high scientific standards. You will work with Amazon's large‑scale computing resources to accelerate advances in machine learning applications. Key job responsibilities Lead ML for life science efforts using computational design approaches and ML‑based tools. Guide teams in applying SOTA ML methods, experimentation design, and modeling approaches. Transform complex real world problems into scientific challenges and allocate resources effectively. Review requirements, conduct technical architecture reviews, and make informed judgments around technical and business tradeoffs. Provide mentorship to Applied Scientists, Research Scientists and Data Scientists while maintaining scientific rigor. Collaborate with cross functional teams. Basic Qualifications Deep expertise in machine learning, with broad knowledge across biology and life science. Strong understanding of scientific methodologies and experimental design. Ability to develop production‑level code and systems. Track record of working with cross‑functional scientific teams and fostering collaboration. 10+ years of relevant, broad research experience after a PhD degree in computer science, computational biology or relevant field. Preferred Qualifications Experience with deep learning frameworks (PyTorch, TensorFlow). Familiarity with high‑performance computing environments. Experience with ML for science and structural biology tools. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. #J-18808-Ljbffr

Our E-commerce Recommendation Team is responsible for building up and scaling our recommendation system to provide the best experience for our TikTok users. Responsibilities: * Conduct cutting-edge research in machine learning algorithms, such as retrieval and recommendation algorithms. * Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok. * Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently. * Apply machine learning algorithms to improve the different business scenarios, such as search ranking, natural language and video understanding, and trust and safety.Minimum Qualifications: * MS/PhD in Computer Science, related technical field or equivalent industrial research experience. * 3+ years of working experience in one of the following fields: recommendation algorithm, online advertising, information retrieval, natural language processing, machine learning, large-scale data mining, or related fields. Preferred Qualifications: * Familiar with at least one of the mainstream deep learning frameworks, like TensorFlow or PyTorch. * Passionate about solving complex and challenging problems

Business UnitWhat the Role EntailsJob Responsibilities: We are building large-scale, native multimodal model systems that jointly support vision, audio, and text to enable comprehensive perception and understanding of the physical world. You will join the core research team focused on speech and audio, contributing to the following key research areas: Develop general-purpose, end-to-end large speech models covering multilingual automatic speech recognition (ASR), speech translation, speech synthesis, paralinguistic understanding, and general audio understanding. Advance research on speech representation learning and encoder/decoder architectures to build unified acoustic representations for multi-task and multimodal applications. Explore representation alignment and fusion mechanisms between audio/speech and other modalities in large multimodal models, enabling joint modeling with image and text. Build and maintain high-quality multimodal speech datasets, including automatic annotation and data synthesis technologies. Who We Look For Ph.D. in Computer Science, Electrical Engineering, Artificial Intelligence, Linguistics, or a related field; or Master's degree with several years of relevant experience. Solid understanding of speech and audio signal processing, acoustic modeling, language modeling, and large model architectures. Proficient in one or more core speech system development pipelines such as ASR, TTS, or speech translation; experience with multilingual, multitask, or end-to-end systems is a plus. Candidates with in-depth research or practical experience in the following areas are strongly preferred: Speech representation pretraining (e.g., HuBERT, Wav2Vec, Whisper) Multimodal alignment and cross-modal modeling (e.g., audio-visual-text) Experience driving state-of-the-art (SOTA) performance on audio understanding tasks with large models Proficient in deep learning frameworks such as PyTorch or TensorFlow; experience with large-scale training and distributed systems is a plus. Familiar with Transformer-based architectures and their applications in speech and multimodal training/inference. Location State(s) US-Washington-BellevueThe expected base pay range for this position in the location(s) listed above is $122,500.00 to $229,700.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

Meta's Monetization pillar is at the cutting edge of delivering highly personalized ads that create maximum value for both users and advertisers. Within this pillar, the Ranking & AI (RAI) Research team drives state-of-the-art research initiatives, focusing on high-impact, high-risk projects-true moonshots-with the potential to redefine Meta's monetization strategies. By consistently pushing the boundaries of what's possible, we deliver breakthrough innovations that not only advance Meta's business objectives but also result in publications at top-tier conferences.Inspired by recent breakthroughs in large language models (LLMs), the RAI Sequence Learning team is pioneering a transformative approach to recommender systems. We are reimagining recommendation as a generative sequence modeling problem, moving beyond traditional methods that treat recommendations as classification tasks on pairs. Instead, our approach models user and ad content, as well as historical interaction data, as sequences-unlocking new possibilities for personalization and relevance.As a research scientist on this team, you will play a pivotal role in shaping the future of technology and business at Meta, especially as we enter the era of artificial general intelligence (AGI). Your contributions will directly influence the trajectory of Meta's monetization strategies and help define the next generation of recommender systems. **Required Skills:** AI Research Scientist, CoreML - Monetization Responsibilities: 1. Extracting meaningful signals from both 1st-party and 3rd-party data sources 2. Advancing representation learning 3. Scaling solutions to efficiently process hundreds of billions of data points 4. Driving continuous algorithmic innovation 5. Seamlessly productionizing research breakthroughs all while optimizing serving costs **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. PhD in Computer Science, Machine Learning, or a relevant technical field 8. 3+ years of industry research experience in LLM/NLP, computer vision, or related AI/ML model training 9. Experience as a technical lead on a team and/or leading complex technical projects from end-to-end 10. Publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL) 11. Programming experience in Python and hands-on experience with frameworks such as PyTorch 12. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 13. A track record of impactful research in the ranking/retrieval/recommendation space, as demonstrated by publications, open-source contributions, or real-world deployments 14. First-authored publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL) 15. Experience in pre-training, post-training, fine-tuning models 16. Experience in causal learning, sequence learning, classification, neural networks, graph learning, items associated, in-depth content understanding (user behavior, user interaction) 17. Experience solving complex problems and comparing alternative solutions, tradeoffs, and broad points of view to determine a path forward 18. Willing to collaborate with others in a productive, interdisciplinary environment **Public Compensation:** $184,000/year to $257,000/year + bonus + equity + 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.

JOB TITLE: Senior Scientist - Agricultural Formulations REPORTS TO: Chief Scientific Officer STATUS: Full time, Exempt SALARY RANGE: $130,000-$160,000/year based on experience & qualifications BENEFITS: Medical, dental, and vision insurance, optional FSA/HSA, 401k with 6% employer match, life and AD&D insurance, Employee Assistance Program, short & long term disability, tuition reimbursement, 21.67 days of paid time off + 10 holidays About Tidal Vision: We believe that sustainability should not require customers to compromise on price, convenience, or performance. Our mission is to create positive and systemic environmental impact by making our biopolymer solutions cost competitive, more convenient, and better performing than the synthetic chemicals we displace. We value innovation and take pride in challenging the status-quo; we choose to view obstacles as opportunities. We value new ideas and encourage the team to apply creativity and invent new solutions to meet challenging demands. We foster open, direct communication, and a collaborative working environment through our unique approach to work culture. We value our employees and demonstrate that through our compensation and benefits programs and opportunities for growth and development. About Tidal Vision's Unique Work Culture: Tidal Vision strives to build and invest in the highest performing and most innovative team. We put our people and customers above process, avoid company-wide rules as much as possible, and have the courage to take unusual approaches to advance our mission. With this approach, we believe we can create a more flexible, fun, stimulating, creative, collaborative, and innovative organization. Our commitment to developing, practicing and promoting direct and open communication, responsibility and freedom, and leading with and seeking context is a responsibility for every role at Tidal Vision. JOB SUMMARY: The Senior Scientist will play a critical role in advancing Tidal Grow AgriScience`s Research & Development pipeline. This position requires deep expertise in agricultural sciences, product development, and technology scale-up, as well as the leadership skills to guide teams and collaborate across functions. The Senior Scientist will lead product concept initiation, improvement of existing products, research trial design and execution, and product life cycle assessments. This role blends scientific rigor with commercial awareness, translating cutting-edge research into practical, sustainable solutions that strengthen both grower outcomes and company growth. ESSENTIAL JOB FUNCTIONS: Lead innovation and product concept development, including improvements to existing product lines. Drive technology development, scale-up and translation from laboratory research to commercial application. Provide scientific and strategic recommendations to leadership, management, and stakeholders. Design, manage, and analyze field and greenhouse trials, delivering data-driven insights. Mentor and lead cross-functional R&D teams. Conduct product life cycle assessments from discovery through commercialization. Collaborate with regulatory, product development, and business teams to align science with market and customer needs. Apply computational R&D and advanced statistical analysis to optimize performance. Prepare and submit research proposals; represent Tidal Grow AgriScience with partners, institutions, and industry stakeholders. Utilizing your experience, you will provide input to the PD and CAS Teams regarding customer needs and ensure product and offer innovation matches the strategy for each account. Generally representing the mission, vision, and values of Tidal Grow AgriScience with customers and other stakeholders. BASIC QUALIFICATIONS: Master's degree or Ph.D. in Agricultural Science, Plant Science, Chemistry, Chemical Sciences, or a related field. Over 10 years of proven R&D experience in agriculture, fertilizers, pesticides, or related industries, with expertise in product development, technology scale-up, and computational R&D. Hands-on experience working with biopolymers, particularly chitosan, in developing agricultural inputs, coatings, and controlled-release formulations. Strong knowledge of ag industry products, applications, and regulations. Demonstrated leadership ability, with experience inspiring, mentoring, and motivating teams. Excellent communication, proposal writing, and relationship management skills. Proven track record of delivering scientific and commercial outcomes. PREFERRED QUALIFICATIONS: Deep understanding of crop production, regenerative practices, sustainability, and market trends. Strategic thinker with a data-driven approach to decision-making. Negotiation skills. Ability to work independently and prioritize effectively in a dynamic environment. Licensing & Special Requirements Incumbent is subject to a criminal background check. WORKING CONDITIONS & PHYSICAL REQUIREMENTS Position is based on-site in Bellingham, WA. Some travel may be required for research trials, conferences, or partner engagement. The employee is frequently required to stand, talk, hear, smell, visually inspect materials, walk, etc., and sometimes needs to lift and/or move up to 30 pounds while working around crop protection products. While performing the duties of this job, the employee is regularly required to use hands and fingers to handle, feel or operate objects, tools, or controls and reach with hands and arms. Tidal Vision provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. The statements contained herein reflect general details as necessary to describe the principal functions of this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned including work in other functional areas to cover absences or relief, to equalize peak work periods, or otherwise to balance the workload. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the employer.

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 is seeking to add Applied Scientists in Generative AI to our world-class AI Platform team. We are specifically looking for scientists with expertise in preparing data, training, fine-tuning and adapting large foundation models across all modalities: images, video, 3D, LLMs and cross-modal setups. We welcome outstanding candidates in all related technical fields, such as Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing. The related applications include image/video/3D generation, editing, and understanding, conditioned on controls stemming from large language models, or other innovative interactions tailored for creative workflows, and multimodal priors. What You'll Do * Conduct pioneering research and development in Generative AI for visual (image/video/3D), audio, and multi-modal outputs. * Develop and deploy novel generative AI technologies to existing and new Adobe Products. * Research and develop novel large-scale foundation models with deep reasoning and world-building capabilities. * Collaborate with world-class researchers and ML engineers to bring research ideas to creative workflows used by millions. * Publish and present your work in world-class scientific venues in CV/AI/ML/CG fields Required Qualifications * Ph.D. in Computer Science, CV/AI/ML/CG or related fields and 1+ years professional experience. * Research or industry experience in training Generative AI models (pre-training and/or post-training) in at least one of the following modalities: image, video, 3D, or audio. * Expertise in large-scale model training and optimization, including data curation, distributed training, and memory-efficient techniques. * Experience with post-training techniques such as fine-tuning, alignment or distillation. * Proficiency with modern deep learning frameworks (e.g., PyTorch) and experience scaling models on GPU/TPU clusters. * Excellent communication skills and a strong great teammate What You'll Bring * Experience on large-scale generative model training * Experience on synthetic data generation * Experience of working with large-scale datasets * Experience of working with product teams on technology transfers #FireflyGenAI 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 $151,800 -- $265,350 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $183,300 - $265,350 In Washington, the pay range for this position is $165,600 - $239,725 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances. Colorado: Application Window Notice 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 **************.

The Department of Psychiatry and Behavioral Sciences within the UW School of Medicine is the third largest clinical department within the School of Medicine with 330 full-time faculty members, 460 courtesy faculty members, and over 350 staff. Department faculty provide clinical services in 5 hospitals, 14 primary care locations, and several outpatient sites in addition to telepsychiatry consultations to more than 150 clinics in Washington and beyond. As the only academic psychiatry department serving the five state WWAMI region (Washington, Wyoming, Alaska, Montana, Idaho), the Department's highly competitive residency training program is largely responsible for developing the mental health workforce in the Pacific Northwest. The Department's robust research portfolio totals $67 million in grants and contracts per year for projects ranging from clinical neurosciences to treatment development to health policy and population health. The Department is recognized as an international leader in developing, testing, and implementing Collaborative Care, an integrated care model increasingly seen as a solution for population-based mental health care. Other areas of excellence include Addictions, Autism, High Risk Youth, Neurosciences, and Trauma, and the Department is developing innovative new programs in Technology and Mental Health, Global Mental Health, Maternal and Child Mental Health, and Targeted Intervention Development. Psychiatry is the third largest department in the School of Medicine and the largest non-divisioned department. The overall annual operations funding from all sources is over $130 million. The Department of Psychiatry & Behavioral Sciences within the UW School of Medicine currently has an outstanding opportunity for a Full-time, Temporary Research Scientist/Engineer 4. Seven Directions at the University of Washington is the first national public health institute in the United States to focus solely on improving Indigenous health and wellness. We are committed to cultivating and sharing knowledge, connecting communities and resources, and working to achieve shared goals for future generations. Seven Directions partners to support tribal communities to increase the capacity of tribal health systems designed to prevent and respond to the opioid overdose epidemic and address other health disparities, as well as conducting community-driven and community-designed health research. Our work includes culturally tailored technical assistance, community-engaged culture-centered research, evaluation, training, Indigenizing and decolonizing research, Indigenous data sovereignty, policy translation, convenings, and dissemination strategies. These services aim to improve Indigenous-serving organizations' and systems' data collection and epidemiologic surveillance capacity; increase implementation of evidence-based prevention strategies grounded in values respecting tribal sovereignty and cultural traditions; showcase models of tribal promising practices; and utilize Indigenous evaluation approaches. This position (Pro Staff Temp Position (E S)) is in the field of public health research. The position will focus on better understanding and improving Indigenous public health and prevention in the areas of opioid overdose, substance use, and mental health using epidemiological and social science frameworks. The Research Scientist (RS) is a key member of the Seven Directions team, works alongside senior team members and guides junior team members in implementing a variety of research, evaluation and training activities, including contributing to project design, grant writing, implementation and management of multiple research projects, IRB submission and modification, data analysis, manuscript development and dissemination. The RS will lead and provide collaborative support in deliverables related to opioid overdose prevention, Indigenous evaluation and broad capacity building and system strengthening in partnership with Indigenous communities. The RS will be focused on developing a plan for updating Indigenous evaluation training materials, draft a scope of Indigenous evaluation training materials including peer reviewed literature sources and community data and research, interfacing with CDC partners and executing Indigenous evaluation training. The ideal candidate will bring doctoral level experience working in research, evaluation or training with AI/AN communities as well as an understanding of and humility toward AI/AN historical, contemporary, and cultural contexts. Responsibilities Research study design, grant preparation, data analysis and scientific writing/publication (40%) * The RS will work with Seven Directions team to plan and design opioid, substance use, mental health, or other Indigenous culture-centered research or technical assistance projects related to Indigenous evaluation, Indigenous health and wellbeing and more. * They will take a significant part in project design and operations, including designing project phases; conducting scientific and grey literature reviews, environmental scans; developing interview scripts, project protocols, quantitative surveys; writing grey and scientific manuscripts. * In collaboration with other team members. they will analyze data, formulate conclusions, and present research results in publishable formats, including written documents, presentations, or online modules. * They will work with PIs and faculty to identify external federal, state, local and private grant opportunities. Research and Project Management (30%) * Lead and assist with project management activities, including developing and monitoring project timelines, ensuring work is successfully executed and completed within time frames to meet research objectives and communicate with diverse academic, practice and community partners. * Develop research operations protocols and train staff in implementing the research activities. * Develop technical assistance, training, workshop plans or training materials and participate in delivering or facilitating these interactions with partners. * Lead project- related communications, logistics, and technical support. * Engage in occasional travel to conferences and partner sites. Dissemination of Findings (20%) * The RS will support the dissemination of findings to variety of audiences and in a variety of formats, including academic publications, online forums, webinars and virtual and in-person presentations. * They will contribute to manuscript development and report writing. * They will prepare meeting summaries, progress reports, study deliverables, journal articles and other written materials, and present study findings at meetings as needed. Administration and operations (10%) * Work with PI and senior staff with auxiliary project management duties as requested and anticipate additional areas for support. * Serve on 1-2 Seven Directions internal committees. Minimum Requirements * A Master's Degree in Public Health, Epidemiology, Psychology, Social Work, Sociology, Information School, American Indian Studies, or related fields, and a minimum of four years working in the field. * Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration. Additional Requirements * Familiarity with or work experience with Indigenous or other underserved populations and settings. * Familiarity with issues affecting American Indian and Alaska Native Indigenous health, healing, cultural diversity and strengths. * Familiarity with public health evaluation including Indigenous evaluation. * Demonstrated fluency in Quantitative and/or Qualitative and/or Mixed Methods research methodology. * Ability to design interview guides, conduct one-on-one interviews and facilitation of focus groups, organize and analyze and summarize qualitative data (interviews, stories etc.). * Ability to develop survey instruments, collect, analyze, interpret and summarize quantitative data. * Experience in community engagement or community based participatory research (CBPR). * Knowledgeable about substance use and disorder in general and among AI/AN communities. * Experience designing and implementing research studies, including identifying and appropriate research instruments and methodologies. * Experience leading the successful publication of grey and scientific literature. * Knowledge and experience with the grant writing process. * Knowledge and prior experience with human subjects institutional review process. * Baseline knowledge of appropriately indicated statistical design based on desired analysis. * Familiarity with literature management software packages, e.g., EndNote, Zotero, etc. and qualitative software management and analysis software packages, e.g., Dedoose, Atlas.ti etc. * Experience working closely as a trusted resource with communities to identify needs, define strategy, develop action plans, identify deliverables, present results, measure outcomes, and provide recommendations. * Knowledgeable about public health communication best practices and effective communication for different populations. * Experience developing and facilitating trainings for adult learners. * Experience facilitating meetings and discussions for internal and external (i.e., community, funders) partners. Desired Qualifications * A Doctoral Degree in Public Health, Epidemiology, Psychology, Social Work, Sociology, Information School, American Indian Studies, or related fields. * Four or more years working in or on behalf of tribal nations and American Indian or Alaska Native (AI/AN) communities in both urban and rural settings. * Advanced statistical analysis and program software knowledge. * Familiarity with project management tools and/or software packages, e.g., MS Project, Smartsheet, etc. Compensation, Benefits and Position Details Pay Range Minimum: $99,444.00 annual Pay Range Maximum: $164,328.00 annual 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): 100.00% Union/Bargaining Unit: Not Applicable 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.