Earth Sciences Professor – Part Time Tacoma Community CollegeEarth Sciences Professor – Part TimeTacoma WA 98466, WA, WA$1,380.59–$1,510.48 / monthProvide ongoing assessment of student work throughout the quarter, including timely feedback on assignments and submission of final grades, while conducting course-level learning outcomes assessment to ensure educational effectiveness Support student success through informal advising, including implementing early alert protocols and connecting students with appropriate college resources when needed Hold regular office hours. Moreover, TCC stands in solidarity with Black Lives Matter and the Black community by further strengthening collaboration with the Black Student Union as well as community entities such as the Tacoma-Pierce County Black Collective, the Tacoma Urban League, and local black-owned businesses.
NewIntellectual Property - Life Sciences - Midlevel Associate Direct CounselIntellectual Property - Life Sciences - Midlevel AssociateSeattle, WAThis position involves working closely with emerging companies on patent prosecution and strategic IP counseling, particularly in cutting-edge areas like antibodies, DNA/RNA therapeutics, chemical biology, and gene-editing technologies. Job Description Direct Counsel is partnering with a distinguished American international law firm to find a midlevel associate with 1–5 years of patent prosecution experience in biotechnology.
Senior Data Scientist, Amazon Stores Finance Science, Amazon Stores Finance Science Amazon.com IncSenior Data Scientist, Amazon Stores Finance Science, Amazon Stores Finance ScienceSeattle, WAASFS is focused on developing products that empower controllership, improve business decisions and financial planning by understanding financial drivers, and innovate science capabilities for efficiency and scale. WW Amazon Stores Finance Science (ASFS) works to leverage science and economics to drive improved financial results, foster data backed decisions, and embed science within Finance.
Applied Scientist, Shopping Convo Foundations - Pre-purchases Science, Shopping Convo Foundations - Pre-purchases Science Amazon.com IncApplied Scientist, Shopping Convo Foundations - Pre-purchases Science, Shopping Convo Foundations - Pre-purchases ScienceSeattle, WAYou will work closely with ML Engineers and Software Development Engineers to optimize model performance, ensure scalability, and deploy low-latency solutions at Amazon scale. You will design and develop state-of-the-art ML models, conduct rigorous experimentation, and translate scientific breakthroughs into production-ready solutions.
Sr. Science Recruiter, Amazon University Talent Acquisition, AUTA Science Recruiting Team Amazon.com IncSr. Science Recruiter, Amazon University Talent Acquisition, AUTA Science Recruiting TeamSeattle, WAThe ideal candidate must possess the ability to earn trust and influence key stakeholders autonomously, expertly plan and prioritize against customer targets, manage candidates within tight timelines, demonstrate a proven capacity to use metrics to drive and showcase results, and remain calm in high-volume, ambiguous environments. AUTA Science - AMER is an Amazon University Talent Acquisition recruitment delivery team specializing in the sourcing and hiring for Applied, Research, and Data Science job families for internship, postdoc and campus FTE at scale across all of Amazon.
2026 Fall Applied Science Internship - Computer Vision - United States, PhD Student Science Recruiting Amazon.com Inc2026 Fall Applied Science Internship - Computer Vision - United States, PhD Student Science RecruitingSeattle, WAYou will tackle challenging, groundbreaking research problems to help build solutions where visual input helps the customers shop, anticipate technological advances, work with leading edge technology, focus on highly targeted customer use-cases, and launch products that solve problems for Amazon customers. As an intern, you"ll have the opportunity to build innovative solutions where visual input helps customers shop, anticipate technological advances, work with leading-edge technology, focus on highly targeted customer use-cases, and launch products that solve problems for Amazon customers worldwide.
Applied Science Manager, Stores-Ads Science Amazon.com IncApplied Science Manager, Stores-Ads ScienceSeattle, WAThis role will partner with leading scientists and academic researchers to measure these effects through large-scale causal experimentation, and develop novel methods to encode causal and economic reasoning into AI systems that optimize the shopping experience. You will hire and develop future science leaders, think strategically, set ambitious roadmaps in highly ambiguous problem spaces, and foster a culture that values both intellectual depth and production impact.
Sr Mgr, Amazon Science Engineering, Academic Research Initiatives & Science Community Amazon.com IncSr Mgr, Amazon Science Engineering, Academic Research Initiatives & Science CommunitySeattle, WAThe team currently owns and operates the following production systems: Publications Approval Pipeline: End-to-end tooling for routing scientific papers and data sets through Amazon's internal review and approval workflow, ensuring compliance, quality, and publication readiness. Research Impact & Outcomes Tracking: Tools supporting the Amazon Research Initiative (ARI) team in tracing and evaluating the outcomes of Amazon-funded university research, connecting funded projects to publications, software artifacts, patents, and business impact.
2026 Fall Applied Science Internship - Automated Reasoning - United States, PhD Student Science Recruiting Amazon.com Inc2026 Fall Applied Science Internship - Automated Reasoning - United States, PhD Student Science RecruitingSeattle, WAWe are particularly interested in candidates with expertise in: Theorem Proving, Boolean Satisfiability Solvers, Bounded Model Checking, Deductive Verification, Programming/Scripting Languages, Abstract Interpretation, Automated Reasoning, Static/Program Analysis, Program Synthesis. From distributed proof search and SAT/SMT solvers to program analysis, synthesis, and verification, you"ll tackle complex challenges at the intersection of theory and practice, driving innovation and delivering tangible value to our customers.
Staff Scientist - Materials Science IonQ IncStaff Scientist - Materials ScienceBothell, WA$174,520–$250,253 / yearAlso valuable, though not expected in every applicant: experience comparing simulation results against experimental data such as neutron scattering; hands-on use of classical packages including QuantumATK, QuantumEspresso or VASP; the ability to design novel fault-tolerant algorithms; a peer-reviewed publication record; client or partner facing delivery experience; active participation in the fault-tolerant quantum computing community through tools, metrics, talks, repositories or patents; and familiarity with agentic AI tooling such as OpenAI Codex or Anthropic Claude Code. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone.
Scientific Program Manager, Science Initiatives Allen InstituteScientific Program Manager, Science InitiativesSeattle, WA$137,050–$171,250 / yearOur team bridges science and administrative functions, connecting leadership, scientists across the Allen Institute, and key external partners and collaborators to plan and manage activities in three main areas: government relations, science programs, and scientific partnerships. This role will be focused on execution and is highly collaborative, working with science teams across the Allen Institute, our executive leadership, and our external community of partners, to help manage and track partnership projects against expected milestones and outcomes.
Machine Learning Research Scientist Intern (Seed AI for Science - Atomistic AI) - 2027 Start (PhD) Beijing ByteDance Technology Co LtdMachine Learning Research Scientist Intern (Seed AI for Science - Atomistic AI) - 2027 Start (PhD)Seattle, WAMeets at least one of the following criteria: Familiar with quantum chemistry algorithms, with experience in developing or using DFT/Post-HF computational tools or algorithmsFamiliar with molecular dynamics engine development, with experience modifying the source code of LAMMPS or OpenMMFamiliar with machine learning algorithms, with hands-on experience in at least one of the following areas: LLMs, reinforcement learning, agents, or generative modelsFamiliar with solid-state physics, with hands-on experience in materials simulation and MLIP developmentFamiliar with statistical mechanics and enhanced sampling algorithms, with strong domain knowledge and development capability. About the Team: The AI for Science team has been focusing on tackling challenges in natural sciences, including biology, physics, and materials, with computational tools such as Machine Learning, Computational Chemistry, High-throughput Computation.
Data Scientist II, Amazon Stores Finance Science Amazon.com IncData Scientist II, Amazon Stores Finance ScienceSeattle, WAASFS is focused on developing products that empower controllership, improve business decisions and financial planning by understanding financial drivers, and innovate science capabilities for efficiency and scale. WW Amazon Stores Finance Science (ASFS) works to leverage science and economics to drive improved financial results, foster data backed decisions, and embed science within Finance.
Data Scientist II, Amazon Fulfillment Technology (AFT) Science Amazon.com IncData Scientist II, Amazon Fulfillment Technology (AFT) ScienceBellevue, WAThe Amazon Fulfillment Technologies (AFT) Science team is looking for an exceptional Data Scientist, with strong analytical skills and understanding of optimization, to partner with scientists, engineers, product managers, and operations leaders, and develop data-driven solutions for one of the most complex systems in the world: Amazon's Fulfillment Network. As an Data Scientist, you will work with other scientists, software engineers, product managers, and operations leaders to develop scientific solutions and analytics using a variety of tools and observe direct impact to process efficiency and associate experience in the fulfillment network.
Data Scientist III, Rapid & Rural Logistics (R2L) Science & AI Amazon.com IncData Scientist III, Rapid & Rural Logistics (R2L) Science & AIBellevue, WAThis role is uniquely positioned in the team as we have a growing need for looking around corners, prioritizing opportunities using data driven insights, and finding solutions to these opportunities using different machine learning techniques and causal inference models. The R2L team is responsible for building the next generation supply chain for Amazon's world-class ultra-fast customer experiences including Amazon Fresh groceries, Sub-Same Day, Amazon Now, and other soon-to-launch exciting new businesses.
Data Scientist, Prime Video Science Amazon.com IncData Scientist, Prime Video ScienceSeattle, WAYou will work close to science: probing why a model behaves the way it does, pressure-testing results before they reach senior leaders, and, where it helps, building your own statistical and causal models. The Prime Video Science team leverages the latest in machine learning and AI techniques combined with causal inference to bring scientific rigor to the biggest decisions in entertainment: what content to make, what to license, and where to invest.
Data Scientist II, AMZL, Central Learning Solutions Science Amazon.com IncData Scientist II, AMZL, Central Learning Solutions ScienceBellevue, WAYou will leverage your knowledge in statistics and econometrics, estimate the causal impact of training interventions, recommend the right interventions for a given learner profile, and measure the post-launch success of these interventions through A/B weblabs. We develop technology and mechanisms for building personalized learning experiences based on the profiles of different learners and assess the post-training performance curves for different learner profiles.
Sr. Principal Scientist, Stores Economics and Science Amazon.com IncSr. Principal Scientist, Stores Economics and ScienceSeattle, WAWe are looking for a science leader who is able to provide structure around complex business problems, work with machine learning scientists to estimate and validate their models on large scale data, and who can help business and tech partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon's business. Our mission is to drive adoption of AI science and technology across Amazon by partnering with business teams on science-heavy problems, incubating products with high AI research risk, reducing friction and manual effort with AI tooling, and raising the scientific bar across all teams at Amazon.
Applied Scientist, Prime Video Science Amazon.com IncApplied Scientist, Prime Video ScienceSeattle, WAThe Prime Video Science team leverages the latest in machine learning and AI techniques combined with causal inference to bring scientific rigor to the biggest decisions in entertainment: what content to make, what to license, and where to invest. We pursue ambitious research at the intersection of machine learning, AI, and causal inference, turning that research into innovations that improve customer experience and strengthen business profitability.
Data Scientist , AMXL Worldwide Science Amazon.com IncData Scientist , AMXL Worldwide ScienceBellevue, WAA typical week might involve whiteboarding a new forecasting approach with a senior scientist, partnering with engineers to push a model into production, deep-diving into operational data to understand why a metric moved, or presenting your findings to business leaders who will act on them. In this role, you will leverage large-scale operational data to develop and deploy predictive models and optimization solutions that solve real-world logistics and fulfillment challenges, partnering closely with scientists, engineers, and business stakeholders.