Principal research scientist jobs in East Wenatchee, WA - 763 jobs

A leading travel technology company in Seattle seeks a Senior Machine Learning Scientist to develop innovative ML solutions to safeguard financial security. This role involves leading end-to-end ML projects, collaborating with various teams, and mentoring junior staff. Candidates should have a Master's or Ph.D. in a relevant field and 5+ years of experience in production environments. A strong command of Python and familiarity with cutting-edge technologies are essential. The position offers competitive pay ranging from $173,000 to $242,500, with benefits designed to support employee well-being. #J-18808-Ljbffr

A leading technology company is seeking a Senior Research Scientist for System Software and I/O Architecture in Seattle. The role involves developing and analyzing scalable multi-GPU platforms, contributing to innovative software solutions, and collaborating across diverse teams. Candidates should possess a Ph.D. and over 5 years of relevant research experience in computer architecture. This exciting opportunity offers competitive compensation and the chance to impact future technologies. #J-18808-Ljbffr

A leading technology firm based in Seattle is seeking a Senior Research Scientist focused on computer vision and machine learning. In this role, you will lead research efforts to develop cutting-edge AI solutions, collaborate with cross-functional teams, and contribute to academic publications. The ideal candidate has a PhD and experience in the ML lifecycle. This position offers a competitive salary and a hybrid work environment. #J-18808-Ljbffr

Join a forward-thinking company on a mission to enhance safety and justice through innovative technology. As a Computer Vision and Machine Learning Scientist, you will lead the charge in developing cutting-edge algorithms and solutions that empower intelligent perception in devices and robotics. Collaborate with a diverse team to push the boundaries of AI applications, while contributing to meaningful projects that have a real impact on society. This role offers the opportunity to grow and make a difference in a fast-paced environment where your contributions truly matter. If you are passionate about technology and eager to drive change, this is the perfect opportunity for you. #J-18808-Ljbffr

Founding Research Scientist - Generative Video 📍 Seattle, WA (Onsite, 5 days/week) | 💼 Full-time About the Founders Founded by a collective of PhD researchers from leading global universities (Apple, Stanford & Oxford PhD Alumni) with backgrounds at top AI labs and major technology companies, combining deep theoretical insight with proven large-scale product execution. About the Company Our client is a stealth-mode AI startup creating breakthrough technology at the intersection of perception, learning, and expression. The team's mission is to build intelligent systems that can observe and interpret subtle human cues - visual, vocal, and behavioral - to enable natural, emotionally aware digital interaction. They're developing foundational models that unify multiple input streams to make communication between humans and machines feel effortless and authentic. Role Overview This position is ideal for a scientist who thrives at the boundary of research and product impact. As the Founding Research Scientist for Generative Video, you'll lead experimentation on advanced video generation methods, designing architectures that model motion, timing, and realism at scale. You'll have freedom to explore new diffusion-based approaches, define metrics for visual fidelity and consistency, and bring early-stage research into practical real-time applications. Key Responsibilities Design and implement generative video models that synthesize realistic movement, depth, and texture. Develop scalable pipelines for dataset creation, model training, and system evaluation. Explore diffusion, transformer, and temporal modeling techniques to enhance continuity and expression. Partner with engineers and scientists across modalities (speech, text, vision) to integrate outputs into unified frameworks. Evaluate model behavior, benchmark performance, and publish findings where appropriate. Transition promising prototypes into production-ready, low-latency systems. Required Background PhD or comparable experience in Machine Learning, Computer Vision, or Graphics. Proven expertise in video or 3D generative modeling, preferably using diffusion or transformer architectures. Strong applied experience with PyTorch, JAX, or similar toolkits. Understanding of data curation, distributed training, and large-scale evaluation. Publications, patents, or open-source contributions demonstrating research excellence. Self-directed mindset with enthusiasm for rapid iteration and open-ended discovery. What Makes This Unique Early technical ownership in shaping the research roadmap of a deep-tech organization. Opportunity to work on high-impact, unexplored problems in real-time generative media. Close collaboration with a multidisciplinary team of machine learning, vision, and graphics experts. Competitive compensation, strong equity participation, and top-tier backing from investors in applied AI.

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

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.

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.

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 (Payroll Title: 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 quantitative surveys and qualitative scripts for evaluation tracking, support evaluation data collection and analysis, and support final report writing. 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, AND 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. Knowledge or prior experience with digital story-telling. 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.

Bookmark this Posting Print Preview | Apply for this Job Please see Special Instructions for more details. Employer will not sponsor for employment Visa status Posting Details I. DEPARTMENT INFORMATION The Biochemistry and Molecular Medicine department strives to deliver the highest quality of professional education and training, and conduct cutting edge research in the areas of biochemistry, molecular genetics, genomics, and bioinformatics with a goal to better understand human disease. Additionally, the department continues to have a long and successful record in training undergraduate, master's, and graduate students at the George Washington University School of Medicine and Health Sciences. There is an immediate opening for a Research Scientist position in Dr. Huimin Yu's laboratory. Dr. Yu's research focuses on the pathological significance of the impaired gut-fat axis in IBD. Using mouse models, human intestinal organoids, and adipose stem cell culture, she has been investigating the molecular crosstalk between intestinal inflammation and mesenteric fat in IBD, including the role of so-called "creeping fat" in Crohn's disease. Her recently published findings suggest a phenotypic and mechanistic causal relationship between a novel adipokine and intestinal inflammation. She hopes that her work in this area will facilitate the development of novel, adipose tissue-based IBD therapies. JOB DUTIES * This position is responsible for planning, conducting, and supervising research at a high level, by designing and conducting experiments in a controlled laboratory setting. * Using extensive experience and judgment, this role will plan independent research, analyze and interpret data, publish results, represent the university at conferences and meetings, develop new theories and methodologies, and lead and direct the work of lower-level research staff, while transferring technical expertise. Performs other related duties as assigned. The omission of specific duties does not preclude the supervisor from assigning duties that are logically related to the position. Minimum Qualifications: Qualified candidates will hold a Master's degree plus 5 years of experience or a PhD plus 2 years of experience in a related discipline to include at least 2 years of research and/or college level teaching in a field basic to the work to be performed. Degree must be conferred by the start date of the position. Additional Required Licenses/Certifications/Posting Specific Minimum Qualifications: Preferred Qualifications: * Holds a PhD degree plus two years of research experience in basic science research. * Works independently, expected to perform work based on objectives. * Manages and executes highly complex or specialized projects or processes. * Adapts precedent and may make significant departures from traditional approaches to develop solutions to significantly complex problems. Hiring Range $34,356 - $54,910.88 GW Staff Approach to Pay How is pay for new employees determined at GW? Healthcare Benefits GW offers a comprehensive benefit package that includes medical, dental, vision, life & disability insurance, time off & leave, retirement savings, tuition, well-being and various voluntary benefits. For program details and eligibility, please visit ************************************* II. POSITION INFORMATION Campus Location: Foggy Bottom, Washington, D.C. College/School/Department: School of Medicine and Health Sciences (SMHS) Family Research and Labs Sub-Family Laboratory Research Stream Individual Contributor Level Level 4 Full-Time/Part-Time: Part-Time Hours Per Week: 20 Work Schedule: Monday through Friday, 9:00am - 1:00pm Will this job require the employee to work on site? Yes Employee Onsite Status On-campus (in person) Telework: Required Background Check Criminal History Screening, Education/Degree/Certifications Verification, Social Security Number Trace, and Sex Offender Registry Search Special Instructions to Applicants: Employer will not sponsor for employment Visa status Internal Applicants Only? No Posting Number: R002343 Job Open Date: 10/31/2025 Job Close Date: Background Screening Successful Completion of a Background Screening will be required as a condition of hire. EEO Statement: The university is an Equal Employment Opportunity employer that does not unlawfully discriminate in any of its programs or activities on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or expression, or on any other basis prohibited by applicable law. Posting Specific Questions Required fields are indicated with an asterisk (*). * * Are you currently employed with The George Washington University? * No * Yes * * For current GW employees, have you completed your Introductory Employment Period (IEP)? (As a reminder, employees in their IEP are not eligible to apply for other internal university staff and research positions until the IEP is complete.) * Yes, IEP complete * No, still in IEP * N/a - not a current GW employee * * What is your salary range expectation? (Open Ended Question) Applicant Documents Required Documents * Resume * Cover Letter

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Principal Applied Scientist with a strong deep learning and generative AI background, to focus on the development of software development skills of Nova foundational models. As a Principal Applied Scientist, you are a trusted part of the technical leadership. You bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. You solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across the organization. You are a hands‑on scientific leader. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions. You amplify your impact by leading scientific reviews within your organization or at your location. You scrutinize and review experimental design, modeling, verification and other research procedures. You probe assumptions, illuminate pitfalls, and foster shared understanding. You align teams toward coherent strategies. You educate, keeping the scientific community up to date on advanced techniques, state‑of‑the‑art approaches, the latest technologies, and trends. You help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads. Key Job Responsibilities Define key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. Develop long‑term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. Participate in organizational planning, hiring, mentorship and leadership development. Serve as a key scientific resource in full‑cycle development (conception, design, implementation, testing, documentation, delivery, and maintenance). Basic Qualifications 5+ years of hands‑on work in predictive modeling and analysis. PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field. Experience working in predictive modeling and analysis. Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives. Experience programming in Java, C++, Python or related language. Experience leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment. Preferred Qualifications 10+ years of relevant work in industry or academia. Knowledge of problem solving, algorithm design and complexity analysis. Experience creating novel algorithms and advancing the state of the art. Peer‑reviewed scientific contributions in premier journals and conferences. Equal Opportunity Statement Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Legal Compliance Statements Los Angeles County applicants: Job duties for this position include work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. 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. #J-18808-Ljbffr

A leading travel technology company in Seattle is seeking a Senior Machine Learning Scientist to lead AI projects in search and recommendations. You will enhance systems, design agentic AI tools, and collaborate across teams to drive successful implementations. The ideal candidate has over 6 years of experience in AI engineering, proven leadership in projects, and expertise in Python and AI libraries. A strong focus on innovation in a vibrant team is essential. Competitive salary range of $173,000 to $242,500 annually, depending on experience. #J-18808-Ljbffr

Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking highly skilled and innovative Computer Vision and Machine Learning Scientist to join our AI team, focusing on AI applications in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Multimodal Large Language Models (MLLMs), Computer Vision technologies for our cloud, devices and robotics. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge computer vision algorithms and solutions that enable intelligent perception and understanding of visual data. What You'll Do Location: Hybrid in Seattle OR Remotely from the US Reports to: Senior Manager, Research Science Own one or more key technical areas across CVML product portfolio. Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful CVML product feature. Research and develop cutting-edge techniques in MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources. Design and implement efficient and scalable MLLM models for inference and analysis of visual data. Explore novel approaches to address challenges in object detection, recognition, tracking, segmentation, and scene understanding. Optimize algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices. Join forces with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures. Evaluate the performance of MLLM models using real-world datasets and design experiments to validate their effectiveness. Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects. Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community. Experience coach and mentor junior scientists. What You Bring PhD and with +8 year experience in Computer Science or a related field with a focus on MLLMs, computer vision, machine learning, or artificial intelligence. Proven track record of research excellence in machine learning, computer vision, robotics perception, demonstrated through publications in top-tier conferences or journals. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline. Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale. Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges. Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable. Excellent problem-solving skills, analytical thinking, and the ability to work autonomously as well as collaboratively in a team environment. Well-developed communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences. Benefits that Benefit You Competitive salary and 401k with employer match Discretionary paid time off Paid parental leave for all Medical, Dental, Vision plans Fitness Programs Emotional & Mental Wellness support Learning & Development programs And yes, we have snacks in our offices Benefits listed herein may vary depending on the nature of your employment and the location where you work. The Pay: Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The starting base pay for this role is between USD 212,000 in the lowest geographic market and USD 315,000 in the highest geographic market. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. To see more details on our benefits offerings please visit ****************************** Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the . If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Important Notes The above is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email **********************. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes. #J-18808-Ljbffr

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.

As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their boundless energy, creative problem-solving skills, and dedication to build stronger minds and a healthier world. UW faculty and staff also enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits, and natural beauty. The Institute for Health Metrics and Evaluation (IHME) is an independent research organization at the University of Washington (UW). Its mission is to deliver to the world timely, relevant, and scientifically valid evidence to improve health policy and practice. IHME carries out its mission through a range of projects within different research areas including the Global Burden of Diseases (GBD), Injuries, and Risk Factors; Future Health Scenarios; Cost Effectiveness and Efficiency; Resource Tracking; and Impact Evaluations. IHME has an excellent opportunity for a Temporary Research Scientist to join the Reproductive, Genitourinary and Digestive (RGUD) disease estimation team. IHME Research Scientists analyze and produce key estimates for their assigned research team, contribute to research design and training, and lead and/or mentor junior staff. We are looking for someone ready to advance in their career in global health research. You will assess all available relevant quantitative data, including individual-level and aggregated data from surveys, vital registration, censuses, cohort studies, registries, administrative records, government reports, and published scientific literature. You will lead the development and execution of analytic strategies, determining which strategies to test and how best to deploy statistical methods and coding techniques necessary for producing estimates, with emphasis on the long-term and intergenerational impacts of sexually transmitted infections (excluding HIV). You will be responsible for presenting results for internal critique, incorporating necessary feedback into updates and running models to formulate high-quality final deliverables. You will also lead the development of manuscripts, reports, presentations, and similar outputs. You will be integrally involved in producing, critiquing, improving, and disseminating results. You are someone who is capable of keeping your team on track to meet deadlines and research objectives. You already have a publication record, and at IHME, you will build out your portfolio with several peer-reviewed papers. You thrive in a collaborative work environment and are capable of working on multiple projects concurrently while meeting deadlines. You keep current of recent scientific, engineering, and technical advances and are able to translate these into your research. This position is contingent upon project funding. Responsibilities: Exhibit command of the team's research areas, including the methodology and its components. Independently carry out quantitative analyses and participate in reciprocal research projects. Interpret and vet results from junior staff, formulate conclusions, and inform team leaders. Develop, quality check, and distribute complex datasets to be used in epidemiological and statistical analyses. Develop and implement new computational and statistical methods. Write, test, and maintain code in Python or R, with a willingness to learn and adapt to additional programming languages as needed. Maintain, modify, and execute analytic machinery that generates results. Assist in drafting presentations and manuscripts, and contribute to the preparation of funding proposals. Lead and co-author scientific publications in peer-reviewed journals. Maintain scientific awareness and intellectual agility with data, methods, and analytic techniques. May lead and/or mentor junior staff. Contribute ideas and content for internal and external training materials to enhance understanding and effective use of IHME tools and data. May participate in teaching established trainings. Contribute to research design. Other duties as assigned that fall within reasonable scope of research team. Minimum Requirements: Master's degree in public health, epidemiology, statistics, biostatistics, math, economics, quantitative social sciences, or related discipline plus four years' related experience. Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration. Additional Requirements: Demonstrated understanding of the common measurement methods and study designs employed in analytic observational epidemiology, their biases and limitations, and available approaches to adjust measurements to support valid causal inference. Growing peer network where sought out as having solid command of engineering/technical areas, a given disease, risk, key indicator, relevant methodological area, and the related data sources and scientific underpinnings. Excellent analytic, critical thinking, and quantitative skills. Results- and detail-oriented individual who can initiate and complete tasks under tight deadlines and changing priorities both independently and in a team environment. Flexibility with hours and workload is key. Experience devising and executing statistical modeling techniques. Demonstrated ability to quickly recognize problems in results and identify root causes in data, methods, and code. Ease in designing, executing, and troubleshooting code in R or Python. Excellent written and oral communication skills required, including track record of success in coauthorship on multiple scientific papers, presenting results, and representing research at meetings. Demonstrated ability to contribute to and sustain collaborations with external research teams. Experience in working with large data sets, including devising strategies for reliable data management for large data sets, computationally efficient modeling techniques to use such data sets, and critical evaluation of highly multidimensional model outputs that result from such work. Experience with meta-regression, preferably using Burden of Proof or other published methodology employed to estimate causal relationships from diverse datasources. Ability to work both independently and in collaboration with a team. A long-term interest in a research scientist position contributing to the overall mission of our research. Desired Qualifications: MD or PhD in public health, epidemiology, statistics, biostatistics, math, economics, or quantitative social sciences plus two years' experience preferred. Experience with machine learning, data mining, and analytic techniques. Experience mentoring and developing junior employees on soft and technical skills. Experience with project management methods. Peer-reviewed publication record. Conditions of Employment: Weekend and evening work sometimes required. This position is open to anyone authorized to work in the US. Working internationally is only allowed for IHME sponsored work that requires in -country participation. Office is located in Seattle, Washington. This position is eligible to work fully remote in the US; work schedule required to overlap 50% of IHME office hours, between 8 a.m. and 6 p.m. Pacific Time as agreed upon between employee and supervisor. A COVER LETTER IS REQUIRED IN APPLYING FOR THIS POSITION. Please in your cover letter: Provide three professional references, including name, position, company, email and phone as well the name and contact information for your current supervisor, including email. If you are not currently employed, please provide the name and contact information for your most recent supervisor, including email. Compensation, Benefits and Position Details Pay Range Minimum: $105,816.00 annual Pay Range Maximum: $128,316.00 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: SEIU Local 925 - IHME 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.

A leading technology company seeks a Principal Applied Scientist to join the AGI team in Seattle. This role requires a strong background in deep learning and generative AI, along with experience in predictive modeling and analysis. The ideal candidate will lead research directions and mentor junior scientists. Compensation ranges from $179,000 to $309,400 annually, based on location and qualifications. #J-18808-Ljbffr

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time‑off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Senior Machine Learning Scientist Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high‑quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. The Fraud & Risk team plays a pivotal role in safeguarding the company's finances, thwarting billions of dollars in fraudulent attacks annually. Our efforts extend beyond financial security-we effectively combat various threats, including phishing attacks, counterfeit vacation rental schemes, improper payment diversions, and unauthorized access to personal and payment card information. By ensuring a secure environment, the team fosters trust among travelers and providers, making Expedia's sustained revenue growth possible. In this role, you will: Lead ML Solution Development: Design, develop, and deploy machine learning models to solve complex business problems, ensuring alignment with strategic goals. Drive End‑to‑End ML Projects: Manage the full ML lifecycle-from data exploration and feature engineering to model evaluation, productionization, and monitoring. Collaborate Across Functions: Partner with engineering, product, and business teams to ensure ML solutions are technically sound and business‑relevant. Mentor and Grow Talent: Guide junior scientists and engineers, fostering a culture of innovation, learning, and technical excellence. Advance ML Capabilities: Evaluate and implement cutting‑edge algorithms and tools to enhance model performance, scalability, and robustness. Build and Maintain Infrastructure: Configure and optimize storage, compute, and pipeline environments (cloud, on‑prem, clusters) to support scalable ML workflows. Develop Internal Platforms and Best Practices: Contribute to the evolution of internal ML platforms, reusable components, and standardized methodologies. Communicate with Impact: Present findings and recommendations through clear, data‑driven storytelling and compelling visualizations tailored to diverse audiences. Manage Stakeholders and Projects: Lead cross‑functional initiatives, manage expectations, and ensure timely delivery of high‑impact solutions. Solve Strategically and Creatively: Frame business problems as data science tasks, prioritize high‑leverage work (80/20), and persist through technical and organizational challenges. Minimum Qualifications Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related field; or equivalent related professional experience. 5+ years of experience building and deploying machine learning models in production environments. Experience applying sequential models (e.g., RNNs, Transformers) and/or Graph Neural Networks (GNNs) to solve real‑world problems, with an understanding of their trade‑offs and deployment considerations. ML Programming Expertise: Proficient in at least one major ML language (e.g., Python, Scala) with familiarity across others. Software Engineering Skills: Applies design principles, data structures, and patterns to write clean, modular, and pipeline‑ready code. Machine Learning Knowledge: Deep understanding of supervised and unsupervised learning; working knowledge of self‑supervised and reinforcement learning. Advanced Statistical Methods: Applies techniques like Bayesian Neural Networks, Markov Models, and Factor Analysis with awareness of assumptions and limitations. Applied Research: Conducts applied research and integrates findings from academic publications into practical solutions. Model Evaluation Innovation: Designs and implements custom evaluation techniques for tailored ML solutions. Visualization and Front‑End Familiarity: Skilled in data visualization, UX/UI principles, and basic web technologies (HTML/CSS/JavaScript). Preferred qualifications Mentorship and Leadership: Provides technical mentorship and guides peers in frameworks and methodologies. Knowledge Sharing: Actively contributes to team learning through events, tools, and educational content. Domain and Business Acumen: Demonstrates strong domain expertise (e.g., travel, retail) and critical reasoning aligned with business objectives. The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future. Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee's passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award‑winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E‑Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I‑9 to confirm work authorization. #J-18808-Ljbffr

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

A leading technology company in Seattle is seeking a researcher to work on state-of-the-art LLM technologies for applications in AI. This role involves innovating in the field of AI research, particularly focusing on integrating various data types into systems. Ideal candidates should possess a PhD or Master's in related fields and be experienced in programming and machine learning. The company offers competitive compensation based on market rates, from $136,000 to $223,400 per year, alongside a range of benefits. #J-18808-Ljbffr