engineer (fall 2025/ spring 2026) Jobs in Seattle

engineer (fall 2025/ spring 2026)

senior applied scientist, artificial general intelligence Jobs in Seattle

senior applied scientist, artificial general intelligence

2026 applied science

Amazon Web Services

<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>
The AWS Infrastructure Science team drives optimization and predictive analytics initiatives that make AWS more efficient and is the brain behind many of AWS Infrastructure's most complex decisions. It operates at a global scale and impacts billions of dollars of infrastructure capex decisions.<br>
<br>
We're seeking an experienced Senior Technical Program Manager to lead and coordinate complex data science initiatives across multiple teams including data center engineering, hardware engineering, server and networking hardware supply chain. The ideal candidate will bridge technical strategy with execution, ensuring successful delivery of predictive analytics, linear optimization and time series forecasting solutions at scale.<br>
<br>
Key job responsibilities<br>
<ul><li>Develop and maintain comprehensive program roadmaps for data science initiatives
</li><li>Drive technical strategy alignment across multiple teams and departments</li><li>Oversee end-to-end project lifecycle, from data collection to production deployment</li><li>Manage dependencies between data science, engineering, and product teams</li><li>Coordinate model validation, testing, and deployment processes</li><li>Present program status and results to executive leadership</li><li>Drive continuous improvement in data science workflows</li><li>Develop scalable processes for model governance and compliance</li></ul><br>
A day in the life<br>
Cut through ambiguity, apply mechanisms, deliver new data science models and enhancements to existing ones. Engage deeply with science, software and hardware engineering, supply chain teams to solve complex and high value problem statements that provide durable competitive advantage to AWS's cost structure. Present ideas, progress updates to the senior most levels of leadership at Amazon.<br>
<br>
About the team<br>
The AWS Infrastructure team consists of data scientists, applied scientists, software development engineers, business intelligence engineers and program managers. The team owns high visibility and impact models that inform critical infrastructure decisions that drive data center electrical distribution systems utilization and computing rack placement decisions. The team has grown in size, scope and impact over the last couple of years and is looking for a strong TPM to drive it's signature initiatives for 2026 and beyond.<br>
<br>
About AWS<br>
<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<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>
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) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship &amp; 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.<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.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of technical product or program management experience</li><li>7+ years of working directly with engineering teams experience</li><li>3+ years of software development experience</li><li>5+ years of technical program management working directly with software engineering teams experience</li><li>Experience managing programs across cross functional teams, building processes and coordinating release schedules</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience</li><li>Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules</li><li>Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership</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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $133,900/year in our lowest geographic market up to $231,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Technical Program Manager, AWS Infrastructure - Data Science & Research

Amazon.com

<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. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP organization's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. 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>
Agentic Advertiser Guidance team is focussed on guiding and supporting advertisers to meet their advertising needs of creating and managing ad campaigns. Our vision is to build a highly personalized, context aware agentic advertiser guidance that is built using LLMs and tools such as auction simulations, ML and optimization algorithms. This agent will be part of a larger agentic framework, working with chat and non-chat experiences across the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we work closely with stakeholders on Ad Console, and Amazon Sales team, to identify opportunities for the advertiser ranging from guidance across products to granular controls such as keywords and deliver them through a personalized experience.<br>
<br>
We are looking for a passionate Senior Applied Scientist who has technical expertise in information retrieval, Large Language Models (LLM), optimization algorithms, Online Advertising, and/or randomized experiments. In addition to having hands-on experience in building ML-based solutions, an ideal candidate should be able to create and articulate a customer-centric science vision, show willingness to continuously learn about new scientific approaches, and enjoy operating in startup-like environment.<br>
<br>
Key job responsibilities<br>
<ul><li>Lead business, science and engineering strategy and roadmap for Sponsored Products Agentic Advertiser Guidance</li><li>Drive alignment across teams for science, engineering, and product strategy to achieve business goals.</li><li>Lead/guide scientists and engineers across teams to develop, test, launch and improve of science models designed to optimize the shopper experience and deliver long term value for Amazon and advertisers</li><li>Develop state of the art experimental approaches and ML models.</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</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>
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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Applied Scientist, Agentic Advertiser Guidance, Sponsored Products, Agentic Advertiser Guidance

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Senior Applied Scientist, to lead the development and implementation of algorithms and models for supervised fine-tuning and reinforcement learning through human feedback; with a focus across text, image, and video modalities.<br>
<br>
As a Senior Applied Scientist, you will play a critical role in driving the development of Generative AI (Gen AI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.<br>
<br>
Key job responsibilities<br>
<ul><li>Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in GenAI</li><li>Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results</li><li>Think big about the arc of development of GenAI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems
</li><li>Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports</li><li>Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team</li></ul></div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or Master's degree and 5+ years of applied research experience</li><li>5+ years of building machine learning models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with popular deep learning frameworks such as MxNet and Tensor Flow.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>PhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learning</li><li>Demonstrated experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning through human feedback</li><li>Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch</li><li>Excellent problem-solving skills, with the ability to think creatively and critically about complex problems</li><li>Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams</li><li>Experience with patents or publications at top-tier peer-reviewed conferences or journals</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>
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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Applied Scientist, Artificial General Intelligence

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
At Amazon, we're committed to pioneering new frontiers in customer experience, and Mosaic is at the forefront of this mission. Our programs and technologies are revolutionizing how customers interact with fashion and fitness products, presenting unique challenges and opportunities for quantifying their economic impact. We're seeking a experienced Data Scientist with expertise in LLM, forecasting, anomaly detection, and segmentation modeling to support our efforts to understand customer behavior in this dynamic space and build Gen AI tools that scale our science solutions.<br>
<br>
Over the years, teams across Amazon have built systems that can measure customer behavior and even optimize what is shown to customers based on relevant metrics. However, understanding the most important metrics and enabling leaders to look around corners with forecasting and anomaly detection continue to be challenges that require tying the business context with the most relevant methodology from an array of possible ones. The person in this role will work with F2 Scientists, Analysts, the Central Science and Insights Team, and Finance to define the right metrics and methodologies to build models to guide programs and features, while leveraging existing frameworks wherever applicable. We want to answer questions like &ldquo;What is driving this customer behavior?&rdquo; and &ldquo;What are signs that customer behavior is likely to change in the near future?&rdquo;.
</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of data scientist experience</li><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>Experience applying theoretical models in an applied environment</li><li>Bachelor's degree</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in Python, Perl, or another scripting language</li><li>Experience in a ML or data scientist role with a large technology company</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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Fashion & Fitness Data Science, Engineering Analytics Research and Science (EARS)

TikTok

<div><div><div><div><div><p>Responsibilities
</p><p>About the Team The commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated. We aim to bring discovery, inspiration, and joy back to shopping by making TikTok the commerce channel of choice for merchants, creators, and affiliates. You've seen the virality and impact of #TikTokMadeMeBuyIt. Come join the team that is helping scale that phenomenon, and pioneer Content &amp; Creator commerce in the US. We aim to bring discovery, inspiration, and joy back to shopping by making TikTok the leading, on-trend commerce platform of choice for brands, creators, and shoppers. We are an entrepreneurial team, passionate about shaping the future of shopping. The TikTok Shop US operation team aims to deliver high quality products together with a unique customer experience via TikTok. The team is responsible for building the TikTok Ecommerce partnership for the TikTok e-commerce business in the US. With more than 1 billion loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. We are looking for passionate and talented people to join us to build an e-commerce ecosystem that is innovative, secure and intuitive for our users together. We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Responsibilities: - Acquire and incubate merchants to support category growth. - Discover innovative collaborative models that align with merchants' short-term and long-term development plans, and invest platform resources effectively and efficiently. - Solve key challenges in business growth by strong collaboration with cross-functional teams. -Employ a consultative approach by offering strategic content, creator/affiliate/agency partner, merchandising, and logistical solutions to all clients - Update clients on TikTok Shop product developments and new promotional opportunities
</p></div></div><p></p><div><div><p>Qualifications
</p><p>Minimum Qualifications: - BS/MS degree with a graduation date before December of 2026 - Quick learner, proactive and resilient. Ability to thrive in ambiguity and adjust fast to change. - Structured thinking, good data sense, very strong analytical skills - Excellent communication and cross-team collaboration, skilled at moving things forward. - Passion for business and aim for higher goals. Preferred Qualifications: - Internship or full-time experience in an e-commerce marketplace business, or retail category management is a plus - Familiarity with TikTok content ecosystem, shoppable content, and brand-creator partnerships is a plus For TikTok By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
</p></div></div><p></p><div><div><p>Job Information
</p><div><p>&#12304;For Pay Transparency&#12305;Compensation Description (Annually)</p><br>
<div> <div><p>The base salary range for this position in the selected city is $77969 - $98800 annually.<br>
 </p><p>Compensation may vary outside of this range depending on a number of factors, including a candidate&rsquo;s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.<br>
 </p><p>Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).<br>
 </p><p>The Company reserves the right to modify or change these benefits programs at any time, with or without notice.<br>
 </p><p>For Los Angeles County (unincorporated) Candidates:<br>
 </p><p>Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:<br>
 </p><p>1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;<br>
 </p><p>2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and<br>
 </p><p>3. Exercising sound judgment.<br>
</p></div></div></div><div><p>About TikTok</p><br>
<div> <div><p>TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.<br>
</p></div></div></div><div><p>Why Join Us</p><br>
<div> <div><p>Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect &ndash; and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.<br>
 </p><p>We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an &quot;Always Day 1&quot; mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.<br>
 </p><p></p><p>Diversity &amp; Inclusion<br>
 </p><p>TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.<br>
</p></div></div></div><div><p>TikTok Accommodation</p><br>
<div> <div><p>TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
 https://tinyurl.com/RA-request</p></div></div></div></div></div></div></div></div><p></p>

Category Manager Graduate (TikTok Shop - Operations) - 2026 Start (BS/ MS)

Qualtrics

<div><p>At Qualtrics, we create software the world&rsquo;s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform&mdash;we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention&mdash;but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.</p>
<p>
When you join one of our teams, you&rsquo;ll be part of a nimble group that&rsquo;s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won&rsquo;t have to look to find growth opportunities&mdash;ready or not, they&rsquo;ll find you. From retail to government to healthcare, we&rsquo;re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that&rsquo;s work worth doing.</p>
<p><b>
Machine Learning Engineer - CFA, Seattle</b></p>
<p><b>
Why We Have This Role</b></p>
<ul>
<li>We are looking for an engineer to bring our Machine Learning and Artificial Intelligence R&amp;D strategy to the next level through AI Agent.</li>
<li>Our goal is to extend our Experience Management capabilities into &ldquo;close the loop&rdquo; and personal concierge use cases - powered by Experience Agent.</li>
<li>You should love building simple solutions to solve hard customer problems.</li>
<li>Crafting systems in an agile environment to withstand hyper growth and owning quality from end to end is a rewarding challenge and one of the reasons Qualtrics is such an exciting place to work!</li>
</ul>
<p><b>How You&rsquo;ll Find Success</b></p>
<ul>
<li>Work in a supportive environment enables individual growth and achievement of team goals</li>
<li>Collaborate with your peers, prioritize feature development</li>
<li>Work with a sense of urgency to deliver value to our customers</li>
<li>Develop scalable, robust, and highly available micro services to perform simple to complex statistical analyses and build/deploy machine learning models</li>
<li>Implement new features and optimize existing ones to delight our customers</li>
</ul>
<p><b>How You&rsquo;ll Grow</b></p>
<ul>
<li>Qualtrics is a fast paced, dynamic environment where you will have the opportunity to build on and expand your experience through working on high impact projects</li>
<li>Work in a multi-disciplinary team to implement, tune, and productize cutting-edge machine learning models to meet the demands of our rapidly growing business</li>
<li>Build and maintain highly scalable data pipelines to cleanse, anonymize, measure, and index complex and multi-modal data.</li>
<li>You will work alongside like minded and driven technical professionals.</li>
</ul>
<p><b>Things You&rsquo;ll Do</b></p>
<ul>
<li>Work closely with, and incorporate feedback from other specialists, tech-ops, and product managers</li>
<li>Lead and engage in design reviews, architectural discussions, requirement definitions and other technical activities in diverse capacity</li>
<li>Attend daily stand-up meetings, collaborate with your peers, prioritize features</li>
<li>Work with a sense of urgency to deliver value to your customers</li>
<li>Finding quick ways to prototype and test possible solutions to large problems</li>
</ul>
<p><b>What We&rsquo;re Looking For On Your Resume</b></p>
<ul>
<li>Bachelor&rsquo;s degree in Computer Science or related fields.</li>
<li>3-5 years of experience as a Machine Learning Engineer, demonstrating a strong track record in designing, implementing, and optimizing machine learning models for real-world applications, leveraging frameworks such as TensorFlow or PyTorch.</li>
<li>Strong Computer Science fundamentals in algorithm design, complexity analysis, and performance</li>
<li>Experience in programming with at least one modern programming language such as Python, including object-oriented design</li>
<li>Experience with applied machine learning models and large-scale ML systems</li>
<li>Experience with Agent frameworks such as LangChain, Autogen etc is a plus.</li>
</ul>
<p><b>What You Should Know About This Team</b></p>
<ul>
<li>This team uses AI/ML research and development services for all product lines.</li>
<li>This team builds core machine learning infrastructure and services.</li>
<li>You will get the opportunity to work with other teams, and projects on a regular basis.</li>
<li>The scale of the problems we are solving means your impact will scale as well.</li>
</ul>
<p><b>Our Team&rsquo;s Favorite Perks and Benefits</b></p>
<ul>
<li>$1800 Experience bonus to be used for an &ldquo;Experience&rdquo; of your choosing</li>
<li>Unlimited Sick Days</li>
<li>Amazing QGroup Communities; MOSAIQ, Green Team, Qualtrics Pride, Q&amp;Able, Qualtrics Salute, and Women&rsquo;s Leadership Development, which exist as places for support, allyship, and advocacy.</li>
</ul>
<p><b>The Qualtrics Hybrid Work Model:</b> Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays, plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week, work where you want, owning the integration of work and life.</p>
<p><i>
Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.</i></p>
<p><i>
Applicants in the United States of America have rights under Federal Employment Laws:</i><i>Family &amp; Medical Leave Act</i><i>,</i><i>Equal Opportunity Employment</i><i>,</i><i>Employee Polygraph Protection Act</i></p>
<p><i>
Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment, Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your Qualtrics contact/recruiter know.</i></p>
<p><i>
Not finding a role that&rsquo;s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.</i></p><p></p><div><div><div><p><i><br>
For full-time positions</i>, this pay range is for base per year; however, base pay offered within this range may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer. Full-time employees are eligible for medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, mental health benefits, and an experience bonus. For a detailed look at our benefits, visit Qualtrics US Benefits.</p></div><div>
Washington State Annual Pay Transparency Range</div><div>
$138,500&mdash;$206,000 USD</div></div></div></div>

Machine Learning Engineer - CFA, Seattle

Armand Agra

<div><p><b>About the Role:</b></p><p>
The Maintenance position within the Wholesale Trade industry at MMC is a critical role focused on ensuring the continuous and efficient operation of all facility equipment and infrastructure. The primary objective is to perform routine inspections, preventive maintenance, and timely repairs to minimize downtime and support the overall productivity of the organization. This role requires a proactive approach to identifying potential issues before they escalate, thereby safeguarding the safety and functionality of the workplace environment. The Maintenance professional will collaborate closely with other departments to coordinate maintenance activities with minimal disruption to business operations. Ultimately, this position contributes significantly to maintaining a safe, reliable, and well-functioning facility that supports the company&rsquo;s wholesale trade activities.</p><p><b>
Minimum Qualifications:</b></p><ul><li>
Proven experience in maintenance work, preferably within a wholesale trade or industrial environment.</li><li>
Basic knowledge of electrical, mechanical, and plumbing systems.</li><li>
Ability to read and interpret technical manuals, blueprints, and schematics.</li><li>
Valid driver&rsquo;s license and ability to operate maintenance equipment safely.</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Technical certification or vocational training in maintenance, electrical, or mechanical fields.</li><li>
Experience with computerized maintenance management systems (CMMS).</li><li>
Familiarity with safety standards such as OSHA regulations.</li><li>
Strong troubleshooting and problem-solving skills.</li><li>
Ability to work flexible hours or be on-call for emergency repairs.</li></ul><p><b>
Responsibilities:</b></p><ul><li>
Conduct regular inspections and preventive maintenance on machinery, electrical systems, HVAC, plumbing, and other facility equipment.</li><li>
Diagnose and repair mechanical, electrical, and structural issues promptly to reduce operational downtime.</li><li>
Maintain accurate records of maintenance activities, repairs, and equipment status to ensure compliance and facilitate future servicing.</li><li>
Collaborate with vendors and contractors for specialized repairs or installations as needed.</li><li>
Ensure all maintenance work complies with safety regulations and company policies to maintain a safe working environment.</li></ul><p><b>
Skills:</b></p><p>
The required skills such as electrical, mechanical, and plumbing knowledge are applied daily to inspect, diagnose, and repair facility systems ensuring operational continuity. Reading technical manuals and blueprints enables precise understanding and execution of maintenance tasks. Communication and collaboration skills are essential when coordinating with team members and external contractors to complete projects efficiently. Preferred skills like familiarity with CMMS help streamline maintenance scheduling and record-keeping, improving overall workflow. Additionally, strong problem-solving abilities allow the maintenance professional to quickly address unexpected issues, minimizing downtime and maintaining a safe work environment.</p></div>

MAINTENANCE

Explore 23+ 2026 applied science in Seattle this September. Find roles across top companies and apply now to boost your career.