Senior principal scientist jobs in Spokane Valley, WA - 881 jobs

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.

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.

Ecologist / Wetland Scientist Full-time exempt Professional Kirkland, Kirkland, WA, US Salary Range: $95,000 To $135,000 (USD) Annually PACE Engineers is a Pacific Northwest engineering firm providing civil and structural engineering, planning, surveying, and construction management services from offices in Washington and Oregon. With 135 employee-owners, we are recognized for our expertise, passion, and commitment to clients and communities. Collaboration is central to our culture, enabling us to leverage the creativity and dedication of our teams across all locations, while maintaining a people-first approach that makes PACE both a strong partner and a vibrant community. We are currently seeking an Ecologist/Wetland Scientist for our growing Environmental team . This role is results-driven and aligned with the organization's strategic goals, requiring initiative, a competitive mindset, and the ability to stay focused during change. It demands quick decision-making, innovation, and a strong sense of urgency. The ideal candidate is confident, self-assured, and capable of inspiring others while maintaining a firm, goal-oriented leadership style. Excellent communication, adaptability, and delegation skills are essential, as is the ability to learn quickly and manage multiple priorities. Ultimately, success in this position is measured by achieving fast, high-quality results through motivation and accountability, rather than rigid adherence to process. WHAT YOU'LL BE DOING Lead and oversee critical area and wetland delineations in accordance with U.S. Army Corps of Engineers (USACE) guidelines and regional supplements. Manage all phases of environmental projects including proposal development, budgeting, fieldwork, regulatory coordination, reporting, and client communication. Prepare and review high-quality technical documents such as wetland delineation reports, critical area reports, jurisdictional determinations, mitigation plans, HPA, and Section 404/401 permit applications. Serve as a primary liaison with federal, state, and local agencies on environmental permitting and compliance matters. Guide the development and implementation of wetland restoration, mitigation, and monitoring plans. Supervise, mentor, and provide technical guidance to junior and mid-level staff. Utilize GIS and data management tools to support project planning and analysis. Ensure all project work meets regulatory requirements, internal standards, and client expectations. Stay current on evolving environmental regulations, guidance, and best practices. QUALIFICATIONS: Bachelor's or Master's degree in Environmental Science, Ecology, Biology, Natural Resources, or a related field. Minimum of 7-10 years of professional experience in wetland science, environmental consulting, or natural resource management. In-depth knowledge of federal and state wetland regulations, including Clean Water Act Section 404/401 permitting. Demonstrated experience managing complex environmental projects and multidisciplinary teams. Proficiency in conducting wetland delineations, functional assessments, and habitat evaluations. Strong technical writing and verbal communication skills; ability to present complex concepts clearly to clients and regulators. Experience completing complex mitigation and bank-use plans. Proficient in GIS mapping, GPS field tools, and environmental data analysis. Valid driver's license and willingness to travel for fieldwork and client meetings. PREFERRED QUALIFICATIONS: Professional Wetland Scientist (PWS) certification or eligibility. Experience in client development, proposal writing, and strategic project planning. Familiarity with NEPA, ESA, and other environmental compliance frameworks. Expertise in wetland mitigation banking, ecosystem restoration, or long-term monitoring programs. Experience in regulatory negotiation and agency coordination. Regional Experience BENEFITS SNAPSHOT Hybrid work model & flexible scheduling 401(k) & ESOP (Employee Stock Ownership Plan) Medical, dental, vision, HSA/FSA Paid time off, holidays, and wellness programs Short & long-term disability, life, and AD&D insurance Culture that supports belonging, equity, and inclusion PACE is an Equal Opportunity Employer and values diversity in the workplace. We encourage all qualified applicants to apply.

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

Niantic's Machine Learning Team seeks a Machine Learning Scientist to join our AI/ML team. This role focuses on crafting and implementing machine learning-powered features for our geo-location-based mobile games. You will collaborate closely with product managers, game designers, engineers, and data scientists to craft intelligent game mechanics that respond to player behavior, contextual environments, and geospatial signals. This is a high-impact, hands-on role ideal for candidates passionate about applying ML to mobile games and real-world data challenges. Niantic is a leading mobile game developer known for groundbreaking real-world mobile gaming experiences. Our mission is to use new technologies to enrich the human experience and encourage exploration of the world around us. Titles like Pokémon GO, Pikmin Bloom, and Monster Hunter Now are just the beginning. We're looking for curious, creative, and purposeful minds to join us on our journey. Responsibilities * Craft and develop machine learning models that drive intelligent gameplay features, such as multifaceted content placement, player clustering, and geo-contextual personalization. * Leverage real-world data (geospatial, temporal, behavioral) to advise in-game decision-making and adapt to player environments in real time. * Partner with product and design teams to translate gameplay ideas into ML-powered systems. * Collaborate with data science and data engineering teams to optimize data pipelines for machine learning use cases. * Collaborate with product and data science teams to perform thorough experimentation, A/B testing, and model evaluation to measure product impact and feature efficiency. * Contribute to the design of ML infrastructure, tools, and workflows that support the lifecycle of models in production. * Required in-office 2 days on Tuesday and Wednesday. Qualifications * M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or related technical field. * 2+ years of experience developing ML systems in a production environment. * Proficiency in Python and ML libraries such as PyTorch, TensorFlow, Scikit-learn, or similar. * Experience with applied ML techniques such as supervised learning, clustering, or deep learning. * Strong analytical and problem-solving skills with a product mentality. * Ability to communicate technical concepts clearly to multi-functional teams. * Ability to work in a fast-paced hybrid environment and handle stress appropriately and/or ability to solve practical problems and be sufficiently adaptable to handle dynamic situations with little advance notice. * Experience working on cross-functional teams with ability to communicate effectively through written and verbal communications, including asynchronous interactions with others. Plus If... * Experience building ML features for mobile games or interactive applications. * Experience with modern data processing frameworks, e.g. Apache Beam or Apache Spark. * Exposure to active learning methodologies, recommendation systems and real-time model inference. * Experience with Cloud native model development environments, e.g. GCP or AWS. * Experience with common machine learning development tools or frameworks, e.g. Jupyter Notebooks, MLflow or Kubeflow. * Familiarity with geo-contextual modeling, map-based data, and temporal-spatial modeling techniques. * Solid understanding of geospatial data and location-based modeling challenges. For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range $158,200 - $185,000 USD About Us Scopely is a global interactive entertainment and mobile-first video game company, home to many top, award-winning experiences such as "MONOPOLY GO!," "Star Trek Fleet Command," "Stumble Guys," "MARVEL Strike Force," and "Yahtzee With Buddies," among others. Scopely creates, publishes, and live-operates immersive games that empower a directed-by-consumer experience across multiple platforms--from mobile, web, PC and beyond. Founded in 2011, Scopely is fueled by a world-class team and a proprietary technology platform Playgami that supports one of the most diversified portfolios in the games industry. Recognized multiple times as one of Fast Company's "World's Most Innovative Companies," Scopely is a multi-billion-dollar business due to its ability to create long-lasting game experiences that players enjoy for years. Scopely has global operations in more than a dozen markets across Asia, EMEA, and North America, and is home to many internal game development teams, referred to as Scopely Studios, with additional game studio partners across four continents. Scopely was acquired by Savvy Games Group in July 2023 for $4.9 billion, and is now an independent subsidiary of Savvy. For more information on Scopely, visit: scopely.com Notice to candidates: Scopely, Inc and its affiliates will never request payment or ask for financial information as a condition for applying to a position or receiving an offer of employment. All official Scopely, Inc. recruiters only use email domains that end with @scopely.com. Our official website is **************** Please only apply to positions posted on our official website and ensure the recruiter only communicates via the official email domain. Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact **********************. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice. Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Jubilant HollisterStier LLC, a well-established member of the business community in Spokane, Washington, provides a complete range of services to support the pharmaceutical and biopharmaceutical industries. The Allergy business is a worldwide leader in the manufacture of allergenic extracts, targeted primarily at treating allergies and asthma. Jubiant HollisterStier is also a nationally recognized contract manufacturer of sterile injectable vials, and lyophilized products. Jubilant HollisterStier is a proud member of the Jubilant Pharma family. Our Promise: Caring, Sharing, Growing We will, with the utmost care for the environment and society, continue to enhance value for our customers and stakeholders by providing innovative products and economically efficient solutions' through growth, cost effectiveness and wise investment of resources. Job Description: The EM Compliance Scientist II is responsible for the qualification, repair, maintenance and compliance of laboratory instruments and software. * Perform preventative maintenance and qualification activities on laboratory instrumentation as directed. * Implement appropriate computer operating system permissions to laboratory equipment workstations in order to comply with regulatory requirements. * Diagnose laboratory equipment issues and perform the necessary maintenance to return equipment to a compliant functionality. Assist in other forms of troubleshooting as directed by the Supervisor. * Prepare acceptance reports for laboratory equipment. * Complete core training per procedures. * Adhere to the pertinent aspects of plant safety programs and in keeping with GMP's or other regulations. * Maintain and operate laboratory equipment to assure accuracy and confidence in performance. * Perform computer systems backup as required and ensure data integrity is maintained. * Create new procedures as needed. * Participate in direct internal and/or external client interactions. * Perform special assignments as directed by Supervisor. * Coordinate and lead group projects related to laboratory compliance and equipment. Qualifications: * Associates Degree of Science with minimum 2 years of experience required * Bachelor's Degree of Science Major(s): Chemistry, Biology, or related hard science desired * 2 to 4 years related experience required * Pharmaceutical and FDA Regulated Industry Experience desired * Laboratory Experience (3 years) desired * Proficiency in troubleshooting instruments and/or a mechanical aptitude desired * Proficiency with Microsoft Operating systems as well as general understanding of software and database configuration desired * Experience with data visualization software/coding languages desired * Specific Coursework: Any emphasis in computer related systems desired * Microsoft Word and Microsoft Excel experience required * Mechanical Aptitude required * Manual Dexterity required * Knowledge, practical application, and understanding of analytical instrumentation is necessary to perform the functions of this position. The incumbent must have an ability to utilize scientific and or technical literature, and to make effective written and oral reports that are clear, accurate, and logical. A working knowledge of chemistry, statistics, computer-assisted data processing, and good-manufacturing practices is desirable. Must demonstrate initiative and a willingness to learn. * Ability to lift 25 pounds unassisted required * Exposure to Allergens required * Repetitive Activity, prolonged sitting and standing required Shift: Weekday Days Compensation & Benefits: This is an on-site, full-time position located in Spokane, WA. * Hiring Wage: $ 30.99- $41.93/hr. depending on experience, with opportunity for growth, promotion and annual raises. Midpoint and above is reserved for employees who have longevity with Jubilant HollisterStier and consistently exhibit outstanding performance over a period of time in the role * Role follows the ABU holiday schedule * Medical, Dental, Vision, Flexible Spending and Health Savings Accounts * Life, AD&D, Short and Long Term Disability * 401(k) with company match * Generous paid time off plan * Employee Assistance Program Unlock your potential with Jubilant HollisterStier! If you're seeking a dynamic and rewarding career, we welcome your application today! ******************************** * Please click on the Spokane, Wa. Link* Jubilant HollisterStier is an EEO/AA Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you require assistance applying for a position, please contact our HR Department at: ******************************

The R&D Discovery and Technology Futures Team at IDEXX Laboratories is seeking a motivated early career Associate Scientist to join our LCMS group in advancing the next generation of multiomic biomarker assays. In this highly collaborative role, you will work alongside a team of talented scientists at the BS, MS, and PhD levels to support biomarker discovery projects that drive innovation in veterinary diagnostics. The successful candidate will be innately curious about mass spectrometry and proteomics, eager to develop technical expertise with cutting-edge instrumentation, and thrive in a fast-paced, scientifically diverse environment. In this role, you will contribute to large-scale biomarker discovery studies using state-of-the-art UPLC-MS/MS platforms. You will work closely with a scientifically diverse team with expertise in proteomics, glycoproteomics, metabolomics, and lipidomics to process and analyze complex biological samples from blood, urine, tissue, and fecal matrices. This position offers significant opportunities for hands-on learning and professional growth as you develop mastery of advanced analytical techniques and contribute to projects that directly impact animal health. What You'll Do: Perform large biomarker studies, including sample preparation, fractionation, UPLC-MS/MS analysis, and data processing across diverse sample types Prepare materials, execute experiments, gather and analyze data, and reach conclusions with guidance from senior team members Use cutting-edge instrumentation and analysis software to explore the world of proteomics, glycoproteomics, metabolomics, and lipidomics Perform basic maintenance and troubleshooting of UPLC and mass spectrometry systems Document experiments and lab activities with meticulous attention to detail; prepare reports and summaries; present results and conclusions to team members Order and maintain necessary reagents, consumables, and laboratory supplies Collaborate with multiple cross-functional teams to support new product development and on-market products Contribute to method development and optimization efforts for novel biomarker assays What You Need to Succeed: Bachelor's degree in Chemistry, Biochemistry, or related fields with 0-3 years of relevant experience in mass spectrometry, proteomics, or analytical chemistry (industry or academic research) Hands-on laboratory bench and instrumentation skills, including experience with chromatography and/or mass spectrometry systems Strong analytical and problem-solving skills with exceptional attention to detail Ability to quickly learn new techniques and adapt to changing priorities Excellent organizational and time management abilities Strong communication skills, both verbal and written, with ability to present data clearly Ability to work independently and cooperatively as part of a team Demonstrated initiative, accountability, and ownership of assigned tasks Highly Desirable: Experience with UPLC-MS/MS systems, particularly Thermo instruments (Vanquish UPLC, Orbitrap, or Q Exactive platforms) Familiarity with proteomic sample preparation techniques (protein extraction, digestion, fractionation) Exposure to proteomic or metabolomic software packages (e.g., Proteome Discoverer, Skyline, MaxQuant, Compound Discoverer) Experience working with biological matrices such as plasma, serum, urine, or tissue Physical Demands and Work Environment: Laboratory setting with varying levels of noise and exposure to various potential chemical and biological hazards Compliance with approved laboratory practices is required Extensive sitting, standing, and computer use Ability to extend and reach with hands and arms May be required to lift, move, and carry up to 50 pounds Occasional travel may be required What You Can Expect From Us: Base salary range starting at $62,000 based on experience Opportunity for annual cash bonus Health / Dental / Vision Benefits Day-One 5% matching 401k Additional benefits including but not limited to financial support, pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and much more If you're looking for a role that'll challenge you, offer a variety of work and learning opportunities in a cutting-edge analytical field, while helping an amazing industry, we'd love to hear from you! Why IDEXX: We're proud of the work we do because our work matters. An innovation leader in every industry we serve, we follow our Purpose and Guiding Principles to help pet owners worldwide keep their companion animals healthy and happy, to ensure safe drinking water for billions, and to help farmers protect livestock and poultry from disease. We have customers in over 175 countries and a global workforce of over 10,000 talented people. So, what does that mean for you? We enrich the livelihoods of our employees with a positive and respectful work culture that embraces challenges and encourages learning and discovery. At IDEXX, you will be supported by competitive compensation, incentives, and benefits while enjoying purposeful work that drives improvement. Let's pursue what matters together. IDEXX values a diverse workforce and workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. IDEXX is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws. While we appreciate our staffing partners, we are unable to accept unsolicited agency resumes. #LI-CAG

Force Renewal Programs are designed to attract students & recent graduates with management/leadership potential to careers as Federal employees with the Air Force Civilian Service. This is accomplished by recruiting & selecting high-caliber candidates & training them to become competent, effective, & productive employees in a variety of career fields; providing training & developmental opportunities, & preparing them to successfully complete required training & developmental assignments. Summary Force Renewal Programs are designed to attract students & recent graduates with management/leadership potential to careers as Federal employees with the Air Force Civilian Service. This is accomplished by recruiting & selecting high-caliber candidates & training them to become competent, effective, & productive employees in a variety of career fields; providing training & developmental opportunities, & preparing them to successfully complete required training & developmental assignments. Overview Help Accepting applications Open & closing dates 09/29/2025 to 09/28/2026 Salary $49,960 to - $99,314 per year Pay scale & grade GS 7 - 9 Locations FEW vacancies in the following locations: Clear AFB, AK Eielson AFB, AK Elmendorf AFB, AK Little Rock AFB, AR Show morefewer locations (54) Davis Monthan AFB, AZ Luke AFB, AZ Beale AFB, CA Edwards AFB, CA Los Angeles, CA March AFB, CA Travis AFB, CA Vandenberg AFB, CA Buckley AFB, CO Colorado Springs, CO Peterson AFB, CO Dover AFB, DE Eglin AFB, FL Hurlburt Field, FL MacDill AFB, FL Patrick AFB, FL Robins AFB, GA Pearl Harbor, HI Mountain Home AFB, ID Scott AFB, IL Barksdale AFB, LA Hanscom AFB, MA Andrews AFB, MD Whiteman AFB, MO Columbus AFB, MS Keesler AFB, MS Malmstrom AFB, MT Grand Forks AFB, ND Minot AFB, ND Offutt AFB, NE McGuire AFB, NJ Cannon AFB, NM Holloman AFB, NM Kirtland AFB, NM Rome, NY Heath, OH Wright-Patterson AFB, OH Altus AFB, OK Tinker AFB, OK Vance AFB, OK Charleston AFB, SC Ellsworth AFB, SD Arnold AFB, TN Dyess AFB, TX Goodfellow AFB, TX Laughlin AFB, TX San Antonio, TX Hill AFB, UT Dahlgren, VA Langley AFB, VA Pentagon, Arlington, VA Fairchild AFB, WA McChord AFB, WA Warren AFB, WY Remote job No Telework eligible No Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Internships Work schedule Full-time Service Competitive Promotion potential 12 Job family (Series) * 0401 General Natural Resources Management And Biological Sciences Supervisory status No Security clearance Top Secret Drug test Yes Position sensitivity and risk Special-Sensitive (SS)/High Risk Trust determination process * Suitability/Fitness Financial disclosure No Bargaining unit status No Announcement number K-26-DHA-12807107-MDL Control number 846774300 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Students Current students enrolled in an accredited high school, college or graduate institution. Recent graduates Individuals who have graduated from an accredited educational institute or certificate program within the last 2 years or 6 years for Veterans. Clarification from the agency This public notice is to gather applications that may or may not result in a referral or selection. Duties Help * This is a formal AF intern position in the Recent Palace Acquire Program (PAQ) and, as such, it is centrally funded by HQ AFPC/DPZS. GS-07 * Uses prescribed methods to perform specific, and limited work assignments that are normally minor phases of a broader assignment of a higher-grade professional. * Assists in coordinating projects with engineers, biological scientists, physical scientists, and community planners. * Complies with health, safety, and environmental rules and procedures and performs work in a manner that enhances the safety of the work environment. GS-09 * Participates in providing environmental biological science support in assigned environmental projects through application of professional knowledge and skill in the biological sciences with emphasis on environmental practices, processes, and techniques. * Responsible for executing assigned routine projects, in-house and by contract, to comply with all applicable Federal, state, and local environmental laws and policies. * Assists in the development of curricula and training for assigned program areas. * Complies with health, safety, and environmental rules and procedures and performs work that enhances the safety of the work environment. Requirements Help Conditions of employment * This public notice is to gather applications that may or may not result in a referral or selection * Please read this Public Notice in its entirety prior to submitting your application for consideration * U.S. Citizenship is required * Males must be registered for Selective Service, see *********** * Total salary varies depending on location of position * PCS expenses if authorized will be paid IAW JTR and Air Force Regulations * Recruitment incentives may be authorized * This position is subject to provisions of the DoD Priority Placement Program * Some position may be subject to drug testing * Employee must maintain current certifications * Disclosure of Political Appointments * You will be required to serve a one year probationary period * Some position under this announcement may require either a secret, top secret, or special sensitive clearance Qualifications * The CSA PAQ program requires a degree with overall GPA standing of 2.95 /3.0 or higher. All qualifications must be met prior to August 2026. This must be from an accredited college or university: BASIC REQUIREMENTS for GS-7 and GS-9: Degree: biological sciences, agriculture, natural resource management, chemistry, or related disciplines appropriate to the position. You may qualify if you meet one of the following: 1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following: a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. 2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas: 1. Professional knowledge of the biological sciences (environmental) concepts and principles and standard practices, methods, and techniques to perform, following specific instructions, routine projects or minor phases of a larger and more complex project. 2. Knowledge to study environmental problems requiring investigation of unsanitary or questionable conditions in assigned projects (See Environmental Program Checklist). 3. Basic knowledge of applicable Federal, State, and local laws, regulations, and other guidance to make recommendations concerning assigned restoration, compliance, conservation, pollution prevention, and/or integration principles and practices. 4. Ability to search technical reports, manufacturers' catalogs, and other guidelines to obtain information. 5. Ability to work cooperatively as a team member in the design of environmental systems. 6. Ability to communicate effectively, both orally and in writing, clearly, concisely, and with technical accuracy. PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week. VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education This position has an education requirement. You MUST provide transcripts to support your educational claims. Education must be accredited by an accrediting institution recognized by the U.S. Department of Education. ************************************************** Please submit copies of all Transcripts to include Transferred hours - Official copies are not required at time of application. If selected, you will be required to provide official copies of all Transcripts. *NOTE*Degree Audits are not accepted. If you qualify based on undergraduate education and you have not graduated prior to applying to this position. You may be offered a position contingent upon your final grade point average or class ranking. IF USING EDUCATION TO QUALIFY: You MUST provide transcripts to support your educational claims. Education must be accredited by an accrediting institution recognized by the U.S. Department of Education. FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Additional information For DHA Positions: These positions are being filled under Direct-Hire Authority for the Department of Defense for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified post-secondary students and recent graduates directly into competitive service positions; these positions may be professional or administrative occupations and are located Air Force-Wide. Positions may be filled as permanent or term with a full-time or part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled in, and in good academic standing at a full-time program at an institution of higher education; and is making satisfactory progress toward receipt of a baccalaureate or graduate degree; and has completed at least one year of the program. * The term "recent graduate" means a person who was awarded a degree by an institution of higher education not more than two years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than four years. Selective Service: Males born after 12-31-59 must be registered or exempt from Selective Service. For additional information, click here. Direct Deposit: All federal employees are required to have direct deposit. Disabled veteran leave is available to a Federal employee hired on/after 5 Nov 2016, who is a veteran with a service-connected disability rating of 30% or more. For more information, click here. If you have questions regarding this announcement and have hearing or speech difficulties click here. Tax Law Impact for PCS: On 22-Dec-2017, Public Law 115-97 - the "Tax Cuts and Jobs Act of 2017" suspended qualified moving expense deductions along with the exclusion for employer reimbursements and payments of moving expenses effective 01-Jan-2018 for tax years 2018 through 2025. When you perform a Civilian Permanent Change of Station (PCS) with the government, the Internal Revenue Service (IRS) considers the majority of your entitlements to be taxable. Visit GSA Bulletin FTR 20-04 here for additional information. Expand Hide additional information Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. How you will be evaluated You will be evaluated for this job based on how well you meet the qualifications above. For DHA Positions: These positions are being filled under Direct-Hire Authority for the DoD for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified students and recent graduates directly into competitive service positions; positions may be professional or administrative occupations and located Air Force-Wide. Positions may be filled as permanent/term with a full-time/part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled and in good academic standing at a full-time program at an institution of higher education; and is progressing toward a baccalaureate or graduate degree; and has completed at least 1 year of the program. * The term "recent graduate" means a person awarded a degree by an institution of higher education not more than 2 years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than 4 years. Your latest resume will be used to determine your qualifications. Your application package (resume, supporting documents, and responses to the questionnaire) will be used to determine your eligibility, qualifications, and quality ranking for this position. Please follow all instructions carefully. Errors or omissions may affect your rating or consideration for employment. Your responses to the questionnaire may be compared to the documents you submit. The documents you submit must support your responses to the online questionnaire. If your application contradicts or does not support your questionnaire responses, you will receive a rating of "not qualified" or "insufficient information" and you will not receive further consideration for this job. Applicants who disqualify themselves will not be evaluated further. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. Required documents Required Documents Help The following documents are required and must be provided with your application for this Public Notice. Applicants who do not submit required documentation to determine eligibility and qualifications will be eliminated from consideration. Other documents may be required based on the eligibility/eligibilities you are claiming. Click here to view the AF Civilian Employment Eligibility Guide and the required documents you must submit to substantiate the eligibilities you are claiming. * Online Application - Questionnaire * Resume - Your resume may NOT exceed two pages, and the font size should not be smaller than 10 pts. You will not be considered for this vacancy if your resume is illegible/unreadable. Additional information on resume requirements can be located under "

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

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.

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

We're at a defining moment in enterprise AI. While most companies are building thin wrappers around foundation models, we're tackling the fundamental challenges that will shape how organizations work with AI over the next decade. We're seeking a Senior Applied Scientist who will lead the technical vision and innovation that will define the future of work at Amazon. You'll be at the forefront of Amazon's AI innovation, working directly with technologies that will power the next generation of business operations, with visibility at the highest levels of AWS and Amazon's leadership team. What we're building doesn't exist yet anywhere-we're creating AI systems that fundamentally transform how enterprises operate. The scientific challenges we face represent genuine gaps in how organizations integrate AI into their operations, and we're approaching them with the resources and scale to build real solutions, not just prototypes. This role has real ambiguity-the productive kind where customer problems are clear but scientific solutions need to be invented. You'll have high autonomy to drive the scientific strategy and technical implementation in an early team. The scale of impact is enormous-you'll be developing scientific innovations that will fundamentally change how Amazon operates and become the foundation for how enterprises worldwide integrate AI into complex knowledge work. But what makes this unique is the timing and technical depth. You'll be solving problems that don't have established solutions, inventing new scientific approaches alongside delivering production-grade systems. If you want to tackle intrinsically hard scientific challenges that don't have obvious solutions, if you want to advance the state of the art in AI, if you want your work to matter at scale-let's talk. Key job responsibilities - Design and architect complex AI agent systems for business and product management workflows at scale - Define and lead research initiatives in human-AI collaboration frameworks across multiple teams - Drive end-to-end delivery of novel AI solutions from inception to production, ensuring system-level technical requirements are met - Lead technical discovery and innovation through rapid experimentation while maintaining high standards - Mentor junior scientists and influence adoption of scientific best practices across teams - Author technical documentation and research papers that advance the field of AI agents We're looking for someone who combines deep technical expertise with strong business acumen and thrives in ambiguous, fast-paced environments. You should be passionate about creating AI solutions that enhance human capabilities while maintaining high standards for responsible AI development. The ideal candidate will have deep expertise in machine learning and distributed systems, with a proven track record of delivering innovative AI solutions into production. A day in the life You take ownership of the long-term scientific vision, product roadmaps, and technologies, defining how they should evolve. You build consensus through thoughtful discussions with stakeholders, engineers, and scientist peers across multiple teams. You bring deep expertise to provide context for current and future technology choices and make strategic recommendations on modeling approaches and system architecture to achieve transformative business outcomes and user experiences. About the team Amazon AI at Work (AIW) is a strategic AWS Applied AI Solutions team pioneering the next generation of AI products, with direct visibility and engagement from senior leadership. Our team brings together top-tier product managers, engineers, and scientists who thrive on turning ambitious AI concepts into services. We operate at the forefront of innovation, embracing the challenges of undefined territory as we build entirely new solutions - starting with internal products that have the potential to evolve into external customer offerings. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience in building machine learning models for business application - Strong background in human-AI interaction systems 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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.

About us As part of the AWS Applied AI Solutions organization, our vision is to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. Our team combines Amazon's real-world experience with state-of-art AI to create opinionated, turnkey solutions that are no-brainers to buy and easy to use. We're building applied AI solutions that businesses love and trust. Our ambition is to become the partner companies rely on to run their business every day-putting AI to work to deliver better customer experiences, operational excellence, and faster innovation. We're a fast-moving, scrappy team building a new agentic product from the ground up. If bias for action is your favorite leadership principle, you'll fit right in. The Role We're seeking a talented Senior Applied Scientist with expertise in large language models, agentic systems, and foundational models. You'll accelerate our customer-facing features, contribute to our collaborative and innovative culture, and bring state-of-art applied research that raises the bar for the entire team. Key job responsibilities - Drive end-to-end GenAI projects with high complexity and ambiguity from conception to production - Build, optimize, and deploy ML models while collaborating with software engineers for productionization - Research innovative machine learning approaches and identify new opportunities for GenAI applications - Perform hands-on analysis and modeling of large datasets to develop actionable insights - Establish scalable, automated processes for data analysis, model development, and validation - Present results to senior leadership and collaborate with cross-functional teams About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience using managed ML/AI solutions - Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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 Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising solutions that drive product discovery and sales. We deliver billions of ad impressions every single day on behalf of our advertisers. You'll work with us to help our Advertising teams make sense of the torrent of data produced by the advertising lifecycle. We are using SOTA generative AI to help teams generate insights faster based on our massive data lake. You will need to invent new techniques for metrics retrieval and SQL generation to ensure we're retrieving accurate and trusted data. You'll create feedback loops to ensure our solution is constantly evaluating itself and improving. Being that this is for a conversational AI position, here is what our bot replied when we prompted it for a job description of who should help build it: Role Overview: We are looking for an exceptional applied scientist to join our team building SpektrBot, a conversational AI assistant that helps data engineers and analysts with their workflows. You will work closely with engineers and product managers to design, implement, and optimize natural language processing models like intent classification, named entity recognition, question answering, etc. that enable our Ads chatbot to understand user requests and have natural conversations. Responsibilities: Study and understand data engineering and analytics workflows to design the right conversational experiences Research, design, and develop NLP/NLU models for intent classification, entity extraction, sentiment analysis etc. Continuously improve models through techniques like active learning, transfer learning etc. Optimize models for metrics like precision, recall, latency, interpretability etc. Implement models within overall bot architecture and integrate with backend systems Collaborate with engineers to productionize and monitor models Stay up-to-date on latest advancements in conversational AI research, specifically in LLMs (multi-agent, chain of thought, autonomous agents) Be familiar with optimizing retrievers in RAG architectures. Key job responsibilities You will test multiple foundational models and fine tune when appropriate. You will create feedback loops that will evaluate performance and improve our systems. You will optimize prompts for better responses from our LLMs. You will build tools to auto-curate metadata using LLMs. A day in the life You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. About the team We have a small scrappy team carved out from a large Ads wide data lake team. We are swimming in petabytes of data that we help the organization make sense of. Our team's mission is to help anyone in the Ads org find the data they need using only natural language. We are a supportive and collaborative team who iterates quickly and shares in each others' successes. Basic Qualifications - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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.

Application deadline: Applications will be accepted on an ongoing basis Amazon Ads is re-imagining advertising through cutting-edge generative artificial intelligence (AI) technologies. We combine human creativity with AI to transform every aspect of the advertising life cycle-from ad creation and optimization to performance analysis and customer insights. Our solutions help advertisers grow their brands while enabling millions of customers to discover and purchase products through delightful experiences. We deliver billions of ad impressions and millions of clicks daily, breaking fresh ground in product and technical innovations. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Why you'll love this role: This role offers unprecedented breadth in ML applications and access to extensive computational resources and rich datasets that will enable you to build truly innovative solutions. You'll work on projects that span the full advertising life cycle, from sophisticated ranking algorithms and real-time bidding systems to creative optimization and measurement solutions. You'll work alongside talented engineers, scientists, and product leaders in a culture that encourages innovation, experimentation, and bias for action, and you'll directly influence business strategy through your scientific expertise. What makes this role unique is the combination of scientific rigor with real-world impact. You'll re-imagine advertising through the lens of advanced ML while solving problems that balance the needs of advertisers, customers, and Amazon's business objectives. Your impact and career growth: Amazon Ads is investing heavily in AI and ML capabilities, creating opportunities for scientists to innovate and make their marks. Your work will directly impact millions. Whether you see yourself growing as an individual contributor or moving into people management, there are clear paths for career progression. This role combines scientific leadership, organizational ability, technical strength, and business understanding. You'll have opportunities to lead technical initiatives, mentor other scientists, and collaborate with senior leadership to shape the future of advertising technology. Most importantly, you'll be part of a community that values scientific excellence and encourages you to push the boundaries of what's possible with AI. Watch two Applied Scientists at Amazon Ads talk about their work: ********************************** HsURsIPEA Learn more about Amazon Ads: ******************************* Key job responsibilities As a Senior Applied Scientist in Amazon Ads, you will: - Research and implement cutting-edge ML approaches, including applications of generative AI and large language models - Develop and deploy innovative ML solutions spanning multiple disciplines - from ranking and personalization to natural language processing, computer vision, recommender systems, and large language models - Drive end-to-end projects that tackle ambiguous problems at massive scale, often working with petabytes of data - Build and optimize models that balance multiple stakeholder needs - helping customers discover relevant products while enabling advertisers to achieve their goals efficiently - Build ML models, perform proof-of-concept, experiment, optimize, and deploy your models into production, working closely with cross-functional teams including engineers, product managers, and other scientists - Design and run A/B experiments to validate hypotheses, gather insights from large-scale data analysis, and measure business impact - Develop scalable, efficient processes for model development, validation, and deployment that optimize traffic monetization while maintaining customer experience Basic Qualifications - 5+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County 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 Colorado base pay for this position ranges from $167,100/year up to $226,100/year. The National base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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.

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you'll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You'll get to work on projects that are fast-paced, challenging, and varied. You'll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We'll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! We are looking for a self-motivated, passionate and resourceful Applied Scientist to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. You will spend your time as a hands-on machine learning practitioner and a research leader. You will play a key role on the team, building and guiding machine learning models from the ground up. At the end of the day, you will have the reward of seeing your contributions benefit millions of Amazon.com customers worldwide. Key job responsibilities - Develop AI solutions for various Prime Video Recommendation and Personalization systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods; - Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end; - Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses; - Effectively communicate technical and non-technical ideas with teammates and stakeholders; - Stay up-to-date with advancements and the latest modeling techniques in the field; - Publish your research findings in top conferences and journals. About the team Prime Video Recommendation Science team owns science solution to power recommendation and personalization experience on various Prime Video surfaces and devices. We work closely with the engineering teams to launch our solutions in production. Basic Qualifications - PhD, or Master's degree and 6+ years of applied research experience - 5+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County 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 $150,400/year in our lowest geographic market up to $260,000/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.

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. The Applied Scientist will contribute to the development of AI systems for a new product area. In this role, you will partner with business and technical teams to design and document requirements, and develop technical strategies and applied science roadmaps for delivery of features. The role requires extending existing scientific techniques and inventing new ones to address specific customer needs at a product level. You should be comfortable working semi-autonomously on difficult problems and complex problems with visible risks or roadblocks. You'll work closely with technical leaders within the team. We're looking for scientists who can maintain high standards while moving quickly, prioritizing both rapid experimentation and responsible AI development to deliver measurable customer impact. Key job responsibilities - PhD, or Master's degree and 6+ years of applied research experience - 3+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. Basic Qualifications - PhD, or Master's degree and 6+ years of applied research experience - 3+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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.

Join our Generative AI focus team to innovate Software Development at Amazon Are you ready to be part of a team that's redefining the future of software engineering? Our team is Amazon's ambitious initiative to pioneer AI development practices that will fundamentally transform how we build software at scale. Our Mission We're building the next generation of development tools - uncovering how LLMs can originate new ways of thinking, building, and collaborating. What Makes Us Different * Ground-floor opportunity to shape the future of software development * Direct impact on Amazon's global engineering practices * Working with the latest technologies and large language models * Culture of experimentation and innovative thinking What We're Looking For You'll lead the research, design, and development of AI technologies that challenge conventional software practices and uncover new ways for engineers to build and collaborate. You're comfortable working in ambiguous spaces, exploring emergent behaviors, and collaborating with designers, prototypers, and engineers to test hypotheses in live, evolving systems. You explore where LLMs behave in unexpected yet promising ways, especially in tasks like context retention, code reasoning, or agent behavior , and use those moments to uncover new AI-native workflows. We're looking for applied scientists with experience in areas like: + Information retrieval + Context and memory modeling + Agent behavior and autonomy + Code understanding and generation + Human-AI interaction What You'll Do * Prototype new ways of working with LLMs in engineering workflows * Help shape and evaluate scientific approaches behind agentic systems and engineering tools * Move fast with engineers and prototypers to guide design decisions and model choices * Make sense of unexpected model behavior and guide what to try next Impact Your work will surface where LLMs can meaningfully change how Amazon engineers build. You'll help the team uncover which surprises are worth pursuing and where to push beyond what's already known. Always find a way ️ Basic Qualifications - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Strong analytical, mathematical, and coding skills (e.g., Python, C++, or Java) - Previous work on agents or LLMs Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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.

Transform global logistics by developing innovative technological solutions that optimize complex international shipping networks. Join a dynamic team where your advanced scientific expertise will directly impact millions of packages moving across borders, solving intricate transportation challenges through groundbreaking applied science. Key job responsibilities - Develop advanced deep learning and generative AI applications for sophisticated product classification systems - Lead complex modeling analyses to support strategic business decision-making and policy development - Partner with engineering and operations teams to design transformative machine learning solutions for transportation challenges - Design and document technical strategies and applied science roadmaps - Innovate and provide technological direction in international imports and exports logistics A day in the life Your workday will be an exciting blend of data exploration, innovative problem-solving, and collaborative technology development. You'll dive into complex datasets, design sophisticated machine learning models, engage with cross-functional teams, and create technological solutions that reshape international shipping capabilities. About the team We are a passionate group of scientists and engineers dedicated to building comprehensive transportation technologies. Our mission is to create highly scalable, intelligent systems that enable seamless international package movement. By pushing technological boundaries, we're reimagining global logistics through innovative applied science. Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan Learn more about our benefits here: ****************************************************************** Basic Qualifications - PhD, or Master's degree and 6+ years of applied research experience - 3+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply! - If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply! 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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.