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applied scientist, customer experience and business trends Jobs in Seattle

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electrical power systems engineer iii Jobs in Seattle

electrical power systems engineer iii

psa engineer generation (ems application engineer)-1 Jobs in Seattle

research scientist/engr 3 Jobs in Seattle

research scientist/engr 3

research scientist engr 3

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><div>
Customer Experience and Business Trends (CXBT) is looking for an Applied Scientist to join their team. CXBT's mission is to create best-in-class AI agents that seamlessly integrate multimodal inputs like speech, images, and video, enabling natural, empathetic, and adaptive interactions. We leverage advanced architectures, cross-modal learning, interpretability, and responsible AI techniques to provide coherent, context-aware responses augmented by real-time knowledge retrieval.<br>
<br>
The ideal candidate will have expertise in Large Language Models (LLMs), speech, audio, Natural Language processing (NLP) or multimodal learning to pioneer innovations in data simulation, representation, generation, reasoning, retrieval, and evaluation.<br>
<br>
Key job responsibilities<br>
<ul><li>Build scalable solutions for real-time conversational experiences, including multilingual support, customizable personalities, and conversational turn-taking.</li><li>Develop data simulation approaches that mimic real-world speech interactions.</li><li>Research and implement novel algorithms and modeling techniques.</li><li>Acquire and curate diverse datasets while ensuring user privacy.</li><li>Create robust evaluation metrics and test sets to assess language model performance.</li><li>Integrate human feedback to improve data selection and model performance.</li><li>Innovate in data representation and model training techniques.</li><li>Apply responsible AI practices throughout the development process.</li></ul><br>
A day in the life<br>
Our team is dedicated to improving Amazon's products and services through evaluation of the end-to-end customer experience using both internal and external processes and technology. Our mission is to deeply understand our customers' experiences, challenge the status quo, and provide insights that drive innovation to improve that experience. Through our analysis and insights, we inform business decisions that directly impact customer experience as customers of new GenAI and LLM technologies.<br>
<br>
About the team<br>
Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings &ndash; for almost every business at Amazon &ndash; for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers).<br>
<br>
Our approach is based on determining the customer need, along with problem solving, and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team, made up of a diverse set of profiles, skills, and backgrounds &ndash; including: Product Managers, Software Developers, Computer Vision experts, Solutions Architects, Data Scientists, Business Intelligence Engineers, Business Analysts, Risk Managers, and more.</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 using Unix/Linux</li><li>Experience in professional software development</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, Arlington - 142,800.00 - 193,200.00 USD annually<br>
USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, Customer Experience and Business Trends

<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><p>
Amazon's Weblab Analysis team enables experimental guidance for launching, conducting and making product decisions using Weblab to help Amazon build better products for customers. A/B testing is in Amazon's DNA and we're at the core of how Amazon innovates on behalf of customers. We help Amazonians make decisions about their experiments and reason about the business tradeoffs of their decisions. We research and develop decision quality improvements impacting billions of dollars in decision making every year. Improve analysis and understandability for our 60K internal users. We are seeking a skilled Software Engineer to help us build the future of experimentation systems at Amazon.<br>
<br>
Key job responsibilities<br>
You have an entrepreneurial spirit and want to make a big impact on Amazon and its customers. You are excited about combining science with the latest technology and finding the right tool for the job. You enjoy building high-performance systems but also have a bias for delivering simple solutions to complex problems. You challenge yourself and others to come up with better solutions. You develop strong working relationships and thrive in a collaborative team environment across engineering, science and product.<br>
<br>
A day in the life<br>
We're going to help Amazon make better decisions by empowering analyses for A/B-testing in Weblab systems to help teams make data driven decisions for their experiments. We will help Amazonians make the right decisions for our customers combining science, experimentation and data driven-decision making. Our work will inform some of the biggest decisions at Amazon.<br>
<br>
About the team<br>
We have decades of combined experience on the team in many areas of science and engineering so it's a great environment in which to learn and grow. A/B testing is one of the hottest areas of research and development in the world today and this is a chance to learn how it works in the company known for pioneering its use.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>1+ years of software development engineer or related occupational experience</li><li>1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>1+ years of Object Oriented Design experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</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 - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer, Weblab Analysis, Weblab Analysis

Blueprint Technologies

<p></p><div><div><b>Who is Blueprint?</b></div>
<div>We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We're bold, smart, agile, and fun.</div>
<div></div>
<div><b>What does Blueprint do?</b></div>
<div>Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies.</div>
<div></div>
<div><b>Why Blueprint?</b></div>
<div>At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You'll focus on solving unique business problems while gaining hands-on experience with the world's best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won't find a better place to work and thrive than at Blueprint.</div>
<div></div>
<div><b>In This Role</b></div>
<div>You will serve as a Senior UX Researcher responsible for shaping high‑impact user experiences within communication and collaboration workflows. This position focuses on uncovering user needs, identifying opportunities for innovation&mdash;including AI‑driven enhancements&mdash;and driving research that informs strategic product and design decisions. You'll partner closely with designers, product managers, and engineers to deliver insights that elevate end‑to‑end experiences and help teams execute world‑class solutions rooted in human‑centered design.</div>
<div></div>
<div><b>Responsibilities</b></div>
<div><b>Research Strategy &amp; Execution</b></div>
<ul><li>Develop and execute robust, end‑to‑end research plans and roadmaps to guide product direction across the lifecycle.</li>
<li>Conduct both qualitative and quantitative studies, including study design, recruiting, moderation, analysis, and reporting.</li>
<li>Identify opportunities for user‑focused improvements, including AI‑enabled enhancements within calling, meeting, and communication scenarios.</li>
</ul><div><b>Insight Delivery &amp; Influence</b></div>
<ul><li>Translate research findings into actionable opportunities and recommendations that influence product and design decisions.</li>
<li>Communicate methodologies, strategies, and insights clearly and compellingly to cross‑functional partners and leaders.</li>
<li>Maintain and manage a knowledge base of research insights leveraged across product, design, and engineering teams.</li>
</ul><div><b>Cross‑Functional Collaboration</b></div>
<ul><li>Partner with design, product, engineering, marketing, and data science teams across global collaborators.</li>
<li>Participate in design reviews and planning cycles, infusing user insights and strategic recommendations.</li>
<li>Advocate for UX research's value and ensure findings inform roadmap prioritization and long‑term vision.</li>
</ul><div><b>Team &amp; Culture Contribution</b></div>
<ul><li>Contribute to elevating research practices, shared learning, and team growth.</li>
<li>Support cross‑pollination of learnings across researchers and multidisciplinary partners.</li>
<li>Promote values of diversity, inclusion, transparency, and growth mindset in collaborative environments.</li>
</ul><div><b>Qualifications (Required)</b></div>
<ul><li>4+ years of product‑focused UX Research experience, including at least 2 years of strategic research influencing product direction.</li>
<li>MA/MS or PhD in Cognitive/Experimental Psychology, Human Factors, HCI, Statistics, or related field<br>
OR BA/BS in those fields with significant industry experience.</li>
<li>Demonstrated ability to create and execute impactful research programs with division‑wide or company‑wide influence.</li>
<li>Expertise across the full spectrum of UX research methodologies (qualitative and quantitative).</li>
<li>Proven ability to translate complex data into clear, compelling insights with measurable impact on product outcomes.</li>
<li>Exceptional verbal, written, and visual communication skills for storytelling and insight delivery.</li>
<li>Strong track record of cross‑disciplinary collaboration (design, PM, engineering, marketing, etc.).</li>
<li>Must meet these hard requirements:</li>
<li><ul><li>4+ years designing and executing robust research plans</li>
<li>4+ years translating research insights into actionable recommendations</li>
</ul></li></ul><div><b>Preferred Qualifications</b></div>
<ul><li>Passion for human‑centered design thinking and strategic/foundational research that identifies big‑picture opportunities.</li>
<li>Experience researching diverse audiences across the full user lifecycle and journey.</li>
<li>Ability to balance deep empathy for users with stakeholder constraints and product vision.</li>
<li>Record of contributing to creative processes, team building, and strengthening research culture.</li>
<li>Strong organizational and detail‑management skills without losing sight of high‑level insight synthesis.</li>
<li>Experience influencing multiple levels of leadership through compelling storytelling.</li>
</ul><div><b>Salary Range</b></div>
<div>At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market.</div>
<div></div>
<div>For candidates based in Washington State, the anticipated salary range is <b>$100,000 to $110,000 annually</b>. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate's qualifications and could fall outside the stated range.</div>
<div></div>
<div><b>Equal Opportunity Employer</b></div>
<div>Blueprint Technologies, LLC is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law.</div>
<div></div>
<div>If you need assistance or a reasonable accommodation to complete the application process, please reach out to: recruiting@bpcs.com</div>
<div>Blueprint believe in the importance of a healthy and happy team, which is why our comprehensive benefits package includes:</div>
<ul><li>Medical, dental, and vision coverage</li>
<li>Flexible Spending Account</li>
<li>401k program</li>
<li>Competitive PTO offerings</li>
<li>Parental Leave</li>
<li>Opportunities for professional growth and development</li>
</ul><div><b>Location:</b> Remote; working PST hours.</div></div><p></p>

Senior UX Researcher

<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>
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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>
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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>
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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>
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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>
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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>
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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>
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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>
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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>
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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>
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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>
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Champion a culture of scientific inquiry and technical depth that encourages bold experimentation, publication of novel research, relentless simplification, and continuous improvement.<br>
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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>
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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>
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5+ years experience managing and growing applied science or machine learning teams, including hiring, mentoring, and developing senior scientific talent.<br>
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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>
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Experience partnering with engineering, product, and program management teams to translate scientific research into customer-facing products and measurable business outcomes.<br>
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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>
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Experience with large-scale LLM fine-tuning, prompt engineering, retrieval-augmented generation (RAG), reinforcement learning from human feedback (RLHF), and alignment techniques.<br>
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8+ years experience managing and growing applied science or machine learning teams, including hiring, mentoring, and developing senior scientific talent.<br>
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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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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

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