applied scientist, aws applied ai solutions

applied scientist, customer experience and business trends

data scientist, aws infrastructure services science

account manager - strategic communications (social impact/global health)

applied scientist, aws applied ai solutions Jobs in Seattle

applied scientist, customer experience and business trends Jobs in Seattle

data scientist, aws infrastructure services science Jobs in Seattle

design engineer

research scientist/engr 3 Jobs in Seattle

research scientist/engr 3

research scientist

University Of Washington

<div><p><b>Job Description
</b></p><p></p><p><b>Field of Research:
</b></p><p>Located at the University of Washington in Seattle, the Institute for Protein Design is a unique interdisciplinary environment where world-class researchers create molecules that solve modern challenges in medicine, technology, and sustainability. Joining our team means becoming part of one of the largest and most innovative public universities in the world.
</p><p></p><p><b>Purpose of the research project(s):
</b></p><p>The Research Scientist 3 (RS3) will join a predominantly wet-lab group founded on the belief that experimentation can not only be used to analyze protein designs, but generate data to improve existing models so designed proteins are better in the first place.
</p><p>We create and implement workflows to reduce the protein build and test burden, to increase the throughput and speed of generating standardized and high quality functional data on protein designs. Our work sits at the intersection of wet lab techniques, semi-automation hardware, and computation, with a focus on increasing efficiency and capacity. We are increasingly incorporating machine learning models into our design-build-test iterations to predict protein function.
<br>
The group&rsquo;s focus is predominantly enzyme design, but readily touches on other modalities such as binding.
</p><p></p><p><b>Major duties and responsibilities:
</b></p><div>Scientific platform development and project execution- 65%
<br>
<ul><li>development of robust and high-throughput workflows to assay protein function
</li><li>end-to-end execution of high-throughput workflows to generate protein functional data
</li><li>new assay development of support IPD colleagues and goals
</li><li>troubleshooting of protocols
</li><li>writing of protocols
</li></ul></div><p></p><div>Data curation and analysis- 15%
<br>
<ul><li>analysis of experimental data in a standardized format
</li><li>deposition of data in centralized data repository
</li><li>gain insights with data to inform future experiments
</li><li>execution of machine learning scripts
</li><li>support the continued development of our internal results database
</li></ul></div><p></p><div>Coordination and Communication - 10%
<br>
<ul><li>engagement with IPD colleagues and external partners to discuss project plans and results
</li><li>contribute to publications
</li></ul></div><p></p><div>Training- 5%
<br>
<ul><li>train IPD colleagues on experimental workflows
</li></ul></div><p></p><div>Wet lab organization and maintenance- 5%
<br>
<ul><li>work with IPD colleagues to ensure lab is well-organized and that instruments are maintained for proper performance.
</li></ul></div><p></p><p><b>Requirements:
</b></p><p>Bachelor's Degree in Biology, Biochemistry or related fields and 4 years of relevant experience leading the development and execution of automated or semi-automated high-throughput pipelines/workflows with DNA/RNA or protein
</p><p>Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
</p><p></p><p><b>Additional Requirements:
</b></p><ul><li>significant molecular biology experience, including PCR, qPCR, gene synthesis/assembly, sequencing
</li><li>significant experience leading the development, optimization, automation, and standardization of molecular biology or protein workflows
</li><li>strong hands-on bioinformatics or general programming skills
</li><li>experience with next generation sequencing
</li><li>significant experience with automated or semi-automated systems for high-throuput data generation
</li><li>experience working in a platform-focused group with expectations to support a wide-range of partners
</li><li>eagerness to learn and engage in new topics
</li><li>self-motivated and self-directed
</li><li>organizational aptitude to work on multiple concurrent projects<br>
</li></ul><p><br>
<b>Desire:
</b></p><ul><li>experience connecting platform development to biological product development
</li></ul><p></p><p><b>Compensation, Benefits and Position Details
</b></p><p></p><p><b>Pay Range Minimum:
</b></p>$81,600.00 annual
<p><b>Pay Range Maximum:
</b></p>$108,000.00 annual
<p><b>Other Compensation:
</b></p><ul><li></li></ul><p><b>Benefits:
</b></p>For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/
<p><b>Shift:
</b></p>First Shift (United States of America)
<p><b>Temporary or Regular?
</b></p>This is a regular position
<p><b>FTE (Full-Time Equivalent):
</b></p>100.00%
<p><b>Union/Bargaining Unit:
</b></p>UAW Research
<p></p><p><b>About the UW
</b></p><p></p><p>Working at the University of Washington provides a unique opportunity to change lives &ndash; on our campuses, in our state and around the world.
</p><p></p><p>UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.
</p><p></p><p><b>Our Commitment
</b></p><p></p><p>The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81 .
</p><p></p><p>To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu .
</p><p></p><p>Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law .</p></div>

Research Scientist/Engr 3

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.
<br>
<br>
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.<br>
<br>
AWS Infrastructure Services Science (AISS) researches and builds machine learning models that influence the power utilization at our data centers to ensure the health of our thermal and electrical infrastructure at high infrastructure utilization.<br>
<br>
As a Data Scientist, you will work on our Science team and partner closely with other scientists and data engineers as well as Business Intelligence, Technical Program Management, and Software teams to accurately model and optimize our power infrastructure. Outputs from your models will directly influence our data center topology and will drive exceptional cost savings. You will be responsible for building data science prototypes that optimize our power and thermal infrastructure, working across AWS to solve data mapping and quality issues (e.g. predicting when we might have bad sensor readings), and contribute to our Science team vision.<br>
<br>
You are skeptical. When someone gives you a data source, you pepper them with questions about sampling biases, accuracy, and coverage. When you&rsquo;re told a model can make assumptions, you actively try to break those assumptions.<br>
<br>
You have passion for excellence. The wrong choice of data could cost the business dearly. You maintain rigorous standards and take ownership of the outcome of your data pipelines and code.<br>
<br>
You do whatever it takes to add value. You don&rsquo;t care whether you&rsquo;re building complex ML models, writing blazing fast code, integrating multiple disparate data-sets, or creating baseline models - you care passionately about stakeholders and know that as a curator of data insight you can unlock massive cost savings and preserve customer availability.<br>
<br>
You have a limitless curiosity. You constantly ask questions about the technologies and approaches we are taking and are constantly learning about industry best practices you can bring to our team.<br>
<br>
You have excellent business and communication skills to be able to work with product owners to understand key business questions and earn the trust of senior leaders. You will need to learn Data Center architecture and components of electrical engineering to build your models.<br>
<br>
You are comfortable juggling competing priorities and handling ambiguity. You thrive in an agile and fast-paced environment on highly visible projects and initiatives. The tradeoffs of cost savings and customer availability are constantly up for debate among senior leadership - you will help drive this conversation.<br>
<br>
Key job responsibilities<br>
<ul><li>Proactively seek to identify opportunities and insights through analysis and provide solutions to automate and optimize power utilization based on a broad and deep knowledge of AWS data center systems and infrastructure.</li><li>Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult customer or business problems and cases in which the solution approach is unclear.</li><li>Collaborate with Engineering teams to obtain useful data by accessing data sources and building the necessary SQL/ETL queries or scripts.</li><li>Build models and automated tools using statistical modeling, econometric modeling, network modeling, machine learning algorithms and neural networks.</li><li>Validate these models against alternative approaches, expected and observed outcome, and other business defined key performance indicators.</li><li>Collaborate with Engineering teams to implement these models in a manner which complies with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.</li></ul><br>
About the team<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
*Why AWS*<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
*Diverse Experiences*<br>
Amazon 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&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
*Work/Life Balance*<br>
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&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
*Inclusive Team Culture*<br>
Here at AWS, it&rsquo;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) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
*Mentorship and Career Growth*<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field, or Bachelor's degree and 3+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience</li><li>Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Master's degree in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science or related field</li><li>3+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, VA, Herndon - 108,300.00 - 160,000.00 USD annually<br>
USA, WA, Seattle - 108,300.00 - 160,000.00 USD annually</div><p></p>

Data Scientist, AWS Infrastructure Services Science

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Sponsored Products and Brands (SPB) is at the heart of Amazon Advertising, helping millions of advertisers&mdash;from small businesses to global brands&mdash;connect with customers at the moments that matter most. Our advertising solutions enable sellers, vendors, and brand owners to grow their businesses by reaching shoppers with relevant, engaging ads across Amazon's store and beyond. We're obsessed with delivering measurable results for advertisers while creating a delightful shopping experience for customers.<br>
<br>
Are you interested in defining the science behind the future of advertising? Sponsored Products and Brands science teams are pioneering breakthrough agentic AI systems&mdash;pushing the boundaries of large language models, autonomous reasoning, planning, and decision-making to build intelligent agents that fundamentally transform how advertisers succeed on Amazon.<br>
<br>
As an SPB applied science leader, you'll have end-to-end ownership of the product and scientific vision, research agenda, model architectures, and evaluation frameworks required to deliver state-of-the-art agentic AI solutions for our advertising customers. You'll get to work on problems that are fast-paced, scientifically rich, and deeply consequential. You'll also be able to explore novel research directions, take bold bets, and collaborate with remarkable scientists, engineers, and product leaders. We'll look for you to bring your diverse perspectives, deep technical expertise, and scientific rigor to make Amazon Advertising even better for our advertisers and customers. With global opportunities for talented scientists and science leaders, you can decide where a career in Amazon Ads Science takes you!<br>
<br>
We are kicking off a new initiative within SPB to leverage agentic AI solutions to revolutionize how advertisers create, manage, and optimize their advertising campaigns. This is a unique opportunity to lead a business-critical applied science initiative from its inception&mdash;defining the scientific charter, establishing foundational research pillars, and building a multi-year science roadmap for transformative impact. As the single-threaded applied science leader, you will build and guide a dedicated team of applied scientists, research scientists, and machine learning engineers, working closely with cross-functional engineering and product partners, to research, develop, and deploy agentic AI systems that fundamentally reimagine the advertiser journey.<br>
<br>
Your charter will begin with advancing the science behind intelligent agents that simplify campaign creation, automate optimization decisions through autonomous reasoning and planning, and deliver personalized advertising strategies at scale. You will pioneer novel approaches in areas such as LLM-based agent architectures, multi-step planning and tool use, retrieval-augmented generation, reinforcement learning from human and business feedback, and robust evaluation methodologies for agentic systems. You will expand to proactively identify and tackle the next generation of AI-powered advertising experiences across the entire SPB portfolio. This high-visibility role places you as the science leader driving our strategy to democratize advertising success&mdash;making it effortless for advertisers of all sizes to achieve their business goals while delivering relevant experiences for Amazon customers.<br>
<br>
Key job responsibilities<br>
Build, mentor, and lead a new, high-performing applied science organization of applied scientists, research scientists, and engineers, fostering a culture of scientific excellence, innovation, customer obsession, and ownership.<br>
<br>
Define, own, and drive the long-term scientific and product vision and research strategy for agentic AI-powered advertising experiences across Sponsored Products and Brands&mdash;identifying the highest-impact research problems and charting a path from exploration to production.<br>
<br>
Lead the research, design, and development of novel agentic AI models and systems&mdash;including LLM-based agent architectures, multi-agent orchestration, planning and reasoning frameworks, tool-use mechanisms, and retrieval-augmented generation pipelines&mdash;that deliver measurable value for advertisers and create delightful, intuitive experiences.<br>
<br>
Establish rigorous scientific methodology and evaluation frameworks for assessing agent performance, reliability, safety, and advertiser outcomes, setting a high bar for experimentation, reproducibility, and offline-to-online consistency.<br>
<br>
Partner closely with senior business, engineering, and product leaders across Amazon Advertising to translate advertiser pain points and business opportunities into well-defined science problems, and deliver cohesive, production-ready solutions that drive advertiser success.<br>
<br>
Drive execution from research to production at scale, ensuring models and agentic systems meet high standards for quality, robustness, latency, safety, and reliability for mission-critical advertising services operating at Amazon scale.<br>
<br>
Champion a culture of scientific inquiry and technical depth that encourages bold experimentation, publication of novel research, relentless simplification, and continuous improvement.<br>
<br>
Communicate your team's scientific vision, research breakthroughs, strategy, and progress to senior leadership and key stakeholders, ensuring alignment with broader Amazon Advertising objectives and contributing to Amazon's position at the forefront of applied AI.<br>
<br>
Develop a science roadmap directly tied to advertiser outcomes, revenue growth, and business plans, delivering on commitments for high-impact research and modeling initiatives that shape the future of AI-powered digital advertising.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><p>
Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field, or equivalent combination of M.S. and relevant experience.<br>
<br>
10+ years experience in applied science, machine learning, GenAI/LLMs or AI research, with a strong track record of developing and deploying models and systems into production at scale.<br>
<br>
5+ years experience managing and growing applied science or machine learning teams, including hiring, mentoring, and developing senior scientific talent.<br>
<br>
Deep hands-on expertise in one or more of the following: large language models (LLMs), natural language processing, deep learning, reinforcement learning, or multi-agent systems.<br>
<br>
Experience partnering with engineering, product, and program management teams to translate scientific research into customer-facing products and measurable business outcomes.<br>
<br>
Proficiency in modern ML frameworks (e.g., PyTorch, TensorFlow, JAX) and programming languages commonly used in ML research and production (e.g., Python, Scala, Java).</p><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><p>
Direct experience building or leading research and development of agentic AI systems, including LLM-based autonomous agents, multi-step planning and reasoning, tool use, and multi-agent orchestration.<br>
<br>
Experience with large-scale LLM fine-tuning, prompt engineering, retrieval-augmented generation (RAG), reinforcement learning from human feedback (RLHF), and alignment techniques.<br>
<br>
8+ years experience managing and growing applied science or machine learning teams, including hiring, mentoring, and developing senior scientific talent.<br>
<br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</p><p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Palo Alto - 251,600.00 - 340,300.00 USD annually<br>
USA, NY, New York - 240,600.00 - 325,500.00 USD annually<br>
USA, WA, Seattle - 218,800.00 - 295,900.00 USD annually</div><p></p>

Sr. Applied Science Manager, Agentic AI Ads, Sponsored Products and Brands

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
As part of the AWS Applied AI Solutions organization, we have a mission to build delightful AI solutions that improve human capabilities and business outcomes. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated AI 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.<br>
<br>
The Applied Scientist will contribute to the development of Agentic AI solutions leveraging Gen AI. The role requires extending existing scientific techniques and inventing new ones to address specific customer needs. You should be comfortable working semi-autonomously on difficult 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.<br>
<br>
Key job responsibilities<br>
<ul><li>Design and implement solutions that extend or adapt scientific approaches for customer needs</li><li>Deliver components into production that meet high quality standards (efficient, reproducible, testable code)</li><li>Produce science outputs demonstrating correctness, scholarship, and scientific rigor</li><li>Work with product, engineering, and science teams to deliver impactful AI features</li><li>Contribute to operational excellence in the team's deliverables</li></ul><br>
About the team<br>
AWS Solutions<br>
<br>
As part of the AWS 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.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience building machine learning models or developing algorithms for business application</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, NY, New York - 172,400.00 - 223,400.00 USD annually<br>
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, AWS Applied AI Solutions

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!<br>
<br>
The Advertiser and Marketing Performance team is responsible for driving accurate and scalable measurement processes that will enable Marketing and Program Managers to accelerate continuous improvement across our marketing channels and advancing Advertiser performance at scale by focusing on insights and analytics that unlock Advertiser success.<br>
<br>
As an economist on this team, you will:<br>
<ul><li>Apply your expertise in causal modeling and ML to develop systems that describe how Amazon&rsquo;s marketing campaigns impact customers&rsquo; actions</li><li>Design, execute, and analyze experiments to verify the efficacy of different scientific solutions in production</li><li>Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation</li><li>Work with marketing leadership to align our measurement plan with business strategy</li><li>Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data</li><li>Apply statistical and machine learning knowledge to specific business problems and data.</li><li>Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD in economics or equivalent</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software</li><li>Experience in a postdoctoral position, consulting position, government position or academic research</li><li>Experience with SQL</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, WA, Seattle - 129,200.00 - 174,700.00 USD annually</div><p></p>

Economist I, Advertising, Demand Generation, Marketing Effectiveness

<div><h1 class="jobSectionHeader"><b>Postdoctoral Scholar (Vibrio cholerae pathogenesis and interactions with the gut microbiota)</b></h1>
<p></p><h3 class="jobSectionHeader"><b>Position Overview</b></h3>
<p></p>
<p><b>Organization:</b> Medicine, Allergy &amp; Infectious Diseases</p>
<p><b>
Title:</b> Postdoctoral Scholar (Vibrio cholerae pathogenesis and interactions with the gut microbiota)</p>
<p></p>
<h3 class="jobSectionHeader"><b>Position Details</b></h3>
<p></p><h4 class="jobSectionHeader"><b>Position Description</b></h4>
<p>
We are seeking a Postdoctoral Scholar with interests in bacterial genomics, the gut microbiome, microbiology, and global health to join the Weil Lab in the University of Washington Division of Allergy &amp; Infectious Diseases. The Weil Lab is focused on identifying pathogen-host microbe interactions mechanisms of protection against <i>Vibrio cholerae</i>, the causative agent of cholera. We perform detailed studies using specimens derived from human samples.
</p><p>Projects include:</p>
<ul>
<li>Creating knock-out mutants to study how <i>V. cholerae </i>virulence is impacted by gut bacteria isolated from humans
</li><li>Screening pathogen-host microbe interactions including effects on <i>V. cholerae</i> growth, cholera toxin expression, biofilm formation, and motility</li>
<li>Once interactions are identified, testing these in enteroid and multi-cell type human cell culture models in microaerophilic conditions to mimic the human small intestinal environment</li>
</ul>
<p> The candidate will have an opportunity to contribute to one or more projects, learning advanced cellular and molecular biology and anaerobic microbiology techniques.</p>
<p>
 The candidate&rsquo;s day will be split between benchwork to generate data, and computer work to generate reports, keep records, write manuscripts, prepare presentations, etc. The ideal candidate will have post-graduation experience in bacterial genomics and have published (or under review) several papers in peer-reviewed scientific journals. The work is highly collaborative, so excellent written and oral communication skills are required as is the ability to handle multiple projects and priorities with exceptional organizational and time management skills.</p>
<p>
 This is a full-time position with a 12 months service period with the possibility for yearly renewal dependent upon performance and continued funding. The base salary range for this position will be: $68,460 - $74,106 annually ($5,705 - $6,176 per month) commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination. We anticipate that this position will begin in Winter-Spring 2026.</p>
<p>
 Postdoctoral scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website.</p>
<h4 class="jobSectionHeader"><b>
Qualifications</b></h4>
<p>
The successful candidate must have a PhD or MD/PhD degree in Microbiology, Pathobiology, Molecular and Cellular Biology, or related fields.</p>
<h4 class="jobSectionHeader"><b>
Instructions</b></h4>
<p>
Please submit a CV and cover letter addressed to Dr. Weil via Interfolio. If you have any questions please contact AIDHR@uw.edu.</p>
<h4 class="jobSectionHeader"><b>
Equal Employment Opportunity Statement</b></h4>
<p>
The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all.</p>
<p>
As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81.</p>
<p><b>
Benefits Information</b></p>
<p>
A summary of benefits associated with this title/rank can be found at https://hr.uw.edu/benefits/benefits-orientation/benefit-summary-pdfs/. Appointees solely employed and paid directly by a non-UW entity are not UW employees and are not eligible for UW or Washington State employee benefits</p>
<p><b>
Privacy Notice</b></p>
<p>
Review the University of Washington Privacy Notice for Demographic Data of Job Applicants and University Personnel to learn how your demographic data are protected, when the data may be used, and your rights.</p>
<p><b>
Disability Services</b></p>
<p>
To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu.</p></div>

Postdoctoral Scholar (Vibrio cholerae pathogenesis and interactions with the gut microbiota)

Blue Origin

<div><div>Application close date:</div>
Applications will be accepted on an ongoing basis until the requisition is closed.<div></div><div>
At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We&rsquo;re working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight!</div><div></div>
This role supports the development and operations of New Glenn, a single-configuration, heavy-lift orbital launch vehicle capable of routinely carrying people and payloads to low-Earth orbit, geostationary transfer orbit, cislunar, and beyond. Its first stage is fully reusable, and the vehicle was designed from the beginning to be human-capable.<div></div><div>
This role supports the development and operations of New Glenn, a single-configuration, heavy-lift orbital launch vehicle capable of routinely carrying people and payloads to low-Earth orbit, geostationary transfer orbit, cislunar, and beyond. Its first stage is fully reusable, and the vehicle was designed from the beginning to be human-capable.</div><div></div><div>
A Technical Designer develops, maintains, submits for release engineering drawings, systems designs and/or engineering documentation and data by applying company, industry, and governmental standards. Applies design/development tools to prepare documentation and incorporate design changes and maintains systems designs by preparing design layouts, modifying existing designs and assisting in identifying design discrepancies.</div><div></div><div>
The Technical Designer supports engineering system design and functional validation activities. We are looking for someone to apply their technical expertise, leadership skills, and dedication to quality to positively impact safe human spaceflight. Passion for our mission and vision is required!</div><div></div><div>
Responsibilities:</div><ul><li>
Perform design and maintenance of fluid components &amp; system definition by preparing design layouts and drawings, modifying existing designs and resolving design discrepancies. Coordinate fabrication, installation, and commissioning of new or modified systems at any Blue Origin site.</li><li>
Apply Design for Manufacturing and Design for Assembly.</li><li>
Experience creating fabrication and installation drawings using ProE/Creo. Apply company and industry (design, drafting, parts) techniques to plan, lay-out, and maintain data depicting engineering designs (detail, assembly and installation drawings or datasets).</li><li>
Extensive experience with ProEngineer /Creo with Windchill</li><li>
Knowledge of ASME B31.1 and B31.3</li><li>
Experience in design and analysis of piping/tubing systems.</li><li>
Knowledge of standard components, installation and fabrication methods of piping systems (pipe stock, fittings, connections, valves, fasteners, structural members, fitting, welding, etc.)</li><li>
Knowledge of fluid components typical in tubing and piping systems (valves, regulators, pumps etc.)</li><li>
Experience with ASME Y14.100, Y14.5, Y14.41</li><li>
Familiar with existing applicable and industry drafting standards.</li></ul><div></div><div>
Preferred Experience:</div><ul><li>
1+ years or greater proven experience</li><li>
Experience with AutoCAD or AutoCAD P&amp;ID</li><li>
Knowledge of ASME Y14.5 Geometric Dimensioning and Tolerance preferred</li><li>
Knowledge of precision cleaning processes / levels and passivation of stainless steel</li><li>
Experience with a PDM version control database</li></ul><div></div><div><br>
Compensation Range for:</div>
WA applicants is $75,289.00 - $105,404.25<div></div><div>
Other site ranges may differ</div><div></div><div>
Culture Statement</div><div>
Don&rsquo;t meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.</div><div></div><div>
Export Control Regulations</div><div>
Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.</div><div></div><div>
Background Check</div><ul><li><div>
Required for all positions: Blue&rsquo;s Standard Background Check</div></li><li><div>
Required for Certain Job Profiles: Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation</div></li><li><div>
Required for Certain Job Profiles: Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training.</div></li><li><div>
Required for certain Job Profiles: Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical</div></li></ul><div></div><div>
Benefits</div><ul><li><div>
Benefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.</div></li><li><div>
Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.</div></li><li><div>
Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details.</div></li></ul><div></div><div>
Equal Employment Opportunity</div><div>
Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, sex, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws.</div><div></div><div>
Affirmative Action and Disability Accommodation</div><div>
Applicants wishing to receive information on Blue Origin&rsquo;s Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at <div>EEOCompliance@blueorigin.com</div>. Please note this is a publicly managed inbox. Please do not include any personal medical information in your request.</div><div></div><div>
California Applicant Privacy Notice</div><div>
If you are a California resident, please reference the CA Applicant Privacy Notice <div>here</div>.</div></div>

Technical Designer I - New Glenn

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