aiml - applied ml engineer, data generation & verification

aiml - sr backend engineer, data and ml innovation

aiml - sr machine learning engineer, data and ml innovation

machine learning engineer Jobs in Seattle

machine learning engineer

ai / software engineering intern Jobs in Seattle

ai / software engineering intern

aiml - applied ml engineer, data generation & verification Jobs in Seattle

aiml - sr backend engineer, data and ml innovation Jobs in Seattle

aiml - sr machine learning engineer, data and ml innovation Jobs in Seattle

aiml sr backend engineer data and ml innovation

Stealth AI startup

<div><h2 class="jobSectionHeader">The Opportunity</h2>
We are a seed-stage AI startup, currently in stealth, backed by top-tier VCs. We are hiring for a founding engineer for the role of a Product Architect (Sr PE/PE level). This is a rare kind of role. You will own major parts of the platform from early stages, and play a part in building out the company itself: how we build, how we work together, and what we value as an organization. We are building a high-trust, high-standards team of exceptional builders who want to move fast, go deep, own outcomes, invent better ways to create unmistakable customer value and ultimately drive business and personal success.<h2 class="jobSectionHeader">
What We're Building</h2>
Our north star is to help companies of all sizes build, deploy and manage AI applications in a seamless, efficient and cost-effective way. We believe that more and more enterprises and AI startups will build their own application-specific AI models in order to own major portions of their application stack, build on their IP position and optimize for performance and costs. For these companies, models, weights, and data are becoming the strategic moat. But moving from experimentation to production remains slow and messy: fragmented tooling, mounting infrastructure complexity, and significant engineering time lost to security, access, and compliance work instead of innovation.
Our core value proposition is simple. We help product and engineering teams move faster with building and integrating AI models into their applications, with high confidence and trust. The platform is designed to be deployed in a customer&rsquo;s existing environments, ranging from public clouds, on-prem, and hybrid environments. We will share the full picture, including our product, early traction, and roadmap, in our first conversation.<h2 class="jobSectionHeader">
Why This Role Is Different</h2>
You are building the thing, not inheriting it. As a founding engineer, you will make the architectural decisions everything else gets built on: the core platform, the technology stack, and the engineering culture. There is no legacy codebase and no committee.
The equity is real. The pace of progress in AI has created a once-in-a-lifetime window, and where you spend the next few years matters more than it ever has. You can spend them at a big tech where you are a line item in a headcount plan, doing your best work under the constant pressure of the next layoff cycle while someone else captures the upside. Or you can spend them as a founding engineer with meaningful equity in what you build.
You will work directly with a founder who has done this at scale. Our CEO has nearly two decades of experience building and scaling AI infrastructure businesses. He scaled a business from about $100M into a multi-billion-dollar segment at a leading cloud provider, and served as Chief Product Officer of a company he helped take public, now valued at over $50B. He leads by example, stays hands-on, and invests heavily in developing people and helping them do the best work of their careers.
The timing is now. Enterprise AI is crossing from experimentation into production right now, and the infrastructure layer underneath it is being decided. The companies that define that layer will be built in the next few years, by small teams that move fast.<h2 class="jobSectionHeader">
What You'll Do</h2>
This is a hands-on building role. You will report to the CEO and collaborate closely with our founding Product Architect on the product platform. We expect roughly 80% of your time on product development, with the rest split between product research and direct customer support.<ul><li>
Design, build, test, and operate production-grade features and services.</li><li>
Build and run systems that deploy across public cloud, on-prem, and hybrid environments.</li><li>
Contribute to architecture and technical decisions, partnering with the Product Architects on the bets that shape the platform.</li><li>
Take part in product research: prototyping new approaches and evaluating emerging tools and techniques.</li><li>
Work directly with early customers to turn real-world requirements into working capabilities and to support them in production.</li><li>
Use AI-driven development workflows (Claude Code, Cursor, or equivalent) as a daily multiplier on velocity and quality.</li><li>
Help set the bar for engineering quality and craft as the team grows.</li></ul><h3 class="jobSectionHeader">
What We're Looking For</h3>
We are hiring across Senior (L5 equivalent) and Staff (L6 equivalent) levels. The work is the same. The difference is depth of experience and the scope of the systems you have built and owned.<ul><li>
5+ years of hands-on engineering experience building and shipping production software, with a track record of maintaining it in production.</li><li>
Experience building distributed systems, backend services, or infrastructure platforms with an eye for reliability and performance.</li><li>
Working knowledge of cloud-native technologies: Kubernetes, containerized workloads, service-oriented architectures, and infrastructure-as-code (Terraform, Pulumi, or similar) across AWS, Azure, or GCP.</li><li>
Strong systems fundamentals: API design, backend architecture, performance, and reliability.</li><li>
Strong programming proficiency in Rust or C++, with experience writing performant production grade code.</li><li>
High ownership and bias for action in 0-to-1 environments. You are comfortable making pragmatic trade-offs, operating with incomplete information, and driving work from idea through launch.</li><li>
Excellent communication. You can work directly with customers, discuss trade-offs on the merits, and collaborate closely with a small team.</li></ul><h3 class="jobSectionHeader">
Strong Pluses</h3><ul><li>
Experience building customer-facing, large-scale distributed systems and applications: production software that real users and enterprises depend on.</li><li>
Experience building and deploying solutions across multi-cloud and on-prem environments.</li><li>
Experience with AI/ML infrastructure, including training, inference, or the platforms and pipelines around them.</li><li>
Familiarity with security domains such as identity, access control, key management, or trusted computing.</li><li>
Prior startup or early-stage experience, or a big-company background and strong conviction that it is time for something different.</li></ul><h2 class="jobSectionHeader">
What We Offer</h2><ul><li>
Founding-team equity with meaningful upside.</li><li>
Competitive cash compensation, calibrated for seed stage.</li><li>
A direct hand in defining the product, the architecture, and the culture.</li><li>
Opportunity to be part of a fast-paced environment that values distinctive expertise, emphasizes ownership along with high standards, and fosters open-minded collaboration with exceptional builders.</li><li>
A founder committed to your growth, and a front-row seat to building a company.</li></ul></div>

Founding Engineer - Full Stack

Nordstrom

<div><h2 class="jobSectionHeader">Job Description</h2>
At Nordstrom, product data is the backbone of the customer experience &mdash; from the moment a product is listed to the moment it ships. The PIM Egress team owns Product Core Service (PCS), the authoritative API and Kafka interface that delivers product data to every corner of the business. PCS is mission-critical infrastructure. It serves 100+ downstream teams &mdash; spanning Checkout, Warehouse Management, Data Analytics, and beyond &mdash; at 600 requests per second with a 50ms latency target and the reliability those teams depend on to run the business. 
As a Senior Full Stack Engineer on this team, you'll work at the intersection of scale, reliability, and data integrity &mdash; designing and evolving the systems that ensure every team at Nordstrom gets accurate, timely product data when they need it.
This is a rare opportunity to work at the intersection of large-scale data architecture and customer-facing impact. Every product page a customer sees, every filter they apply, and every category they navigate depends on the systems you will build and evolve.
This role is offered as hybrid in Seattle, WA. Candidates must be available to work in office at the Nordstrom corporate headquarters a minimum of 4 days/week to be considered for this position.
A day in the life...
As a Senior Full Stack Software Engineer, you will design, build, and operate services and user interfaces that are central to Nordstrom's product data ecosystem. You will work across the entire stack &mdash; from React-based internal tools used by merchants and data stewards to Java microservices that process millions of catalog and hierarchy records daily. While this role is Full Stack it's mostly Backend Engineering (80%). Our UI surfaces are internal tools built for the people who manage Nordstrom's Product Data &mdash; think operational dashboards, workflow monitors, and admin interfaces that give teams real-time visibility into how millions of items move through our systems. If you prefer building tools for internal business users that you can have face-to-face conversations with, this role is for you!<ul><li>
Build and evolve core platform services. You'll own microservices that power catalog management, hierarchical classification, and organizational master data. These services integrate with upstream ingestion pipelines (including Kafka-based event streaming and Temporal workflow orchestration) and serve downstream consumers across the company.</li><li>
Design delightful internal tools. Merchants, buyers, and data stewards rely on the UIs your team builds to manage catalogs, assign hierarchy nodes, and govern organizational entities. You'll create React-based applications that make complex data operations intuitive and efficient.</li><li>
Drive data quality at scale. You'll build validation, canonicalization, and entity resolution capabilities that ensure data consistency across Nordstrom's product ecosystem &mdash; spanning wholesale, marketplace, and direct-to-consumer channels.</li><li>
Own what you ship. You'll participate in on-call rotations, build observability into every service (New Relic, structured logging, custom dashboards), and drive operational excellence through runbooks, alerting, and incident response.</li><li>
Influence technical direction. You'll contribute to architecture decisions, participate in design reviews, and mentor engineers on the team. Your designs will consider upstream and downstream integration points and balance short-term delivery with long-term platform health.</li></ul>
Technology stack...<ul><li><h2 class="jobSectionHeader">
Backend: Java, Spring Boot, REST APIs, Kafka (event streaming and CDC), Temporal.io (workflow orchestration), PostgreSQL, DynamoDB, Redis</h2></li><li><h2 class="jobSectionHeader">
Frontend: React, TypeScript, Next.js</h2></li><li><h2 class="jobSectionHeader">
Infrastructure &amp; Cloud: AWS (ECS/EKS, Lambda, S3, RDS, MSK), Terraform, GitHub</h2></li><li><h2 class="jobSectionHeader">
Data &amp; Integration: Kafka topics (Avro schemas), REST and gRPC service-to-service communication, batch and real-time data pipelines</h2></li><li><h2 class="jobSectionHeader">
Observability: New Relic (APM, dashboards, alerting), structured logging, distributed tracing</h2></li></ul>
You own this if you have...<ul><li>
7+ years of professional software engineering experience, including significant delivery of both backend services and frontend applications.</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems Engineering, Data Engineering.</li><li>
Communication Skills. Strong verbal, written and diagramming communication skills, with the ability to explain technical concepts clearly to both technical and non-technical stakeholders.</li><li>
Programming Skills. Proficient in more than one Programming Language. Experience with agentic development and perspective on how to get the most from agents during the Software Development Lifecycle.</li><li>
Strong backend fundamentals. You're comfortable designing and building microservices in Java or Kotlin, working with relational databases (PostgreSQL), and integrating with event-driven architectures (Kafka). Experience with workflow orchestration tools like Temporal is a strong plus.</li><li>
Modern frontend skills. You've built production React applications with TypeScript. You care about usability, accessibility, and creating tools that people enjoy.</li><li>
Infrastructure fluency. You're comfortable working with containerized deployments (Docker, Kubernetes), defining infrastructure as code with Terraform, and configuring CI/CD pipelines. You don't need to be a platform engineer, but you can provision what your services need and troubleshoot deployment issues without waiting on someone else.</li><li>
Distributed systems thinking. You understand the tradeoffs of eventual consistency, can reason about failure modes in a service-oriented architecture, and have data driven perspectives on topics like idempotency, schema evolution, and data partitioning.</li><li>
Ownership mentality. You do more than write code &mdash; you own outcomes. You think about observability from the start, you write runbooks, and you show up when your systems need you.</li><li>
Collaborative and communicative. You thrive in cross-functional environments. You can explain a technical tradeoff to a product manager, pair with a junior engineer on a complex problem, and contribute to architectural discussions with clarity and conviction.</li><li>
Bias toward simplification. You actively seek ways to reduce complexity, remove bottlenecks, and make systems easier to operate and evolve.</li></ul><div></div>
Nice to have...<div><ul><li>
Familiarity with product information management or retail/e-commerce domains</li><li>
Background in entity resolution, canonicalization, or data quality systems</li><li>
Experience with Temporal.io or similar durable execution frameworks</li><li>
Contributions to engineering standards, shared libraries, or developer experience tooling</li></ul>
Why this team...
The Catalogs, Hierarchy &amp; Org MDM team is in an exciting phase. Nordstrom's Marketplace Highway program is expanding the product ecosystem to include third-party marketplace sellers alongside the traditional wholesale business, and our team's systems are foundational to that growth. You'll be joining a team that is actively modernizing its platform, tackling hard data problems at scale, and shipping work that has direct, measurable impact on how customers discover and shop for products.
You'll work alongside engineers who are deeply technical, genuinely collaborative, and committed to building things the right way. We invest in our people &mdash; through mentorship, stretch assignments, design review culture, and an environment where your ideas shape the direction of the platform.</div>
Pay Range Details 
The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations. 
Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience.
$142,000.00 - $220,500.00 Annual 
We&rsquo;ve got you covered&hellip; 
Our employees are our most important asset and that&rsquo;s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:<ul><li>
Medical/Vision, Dental, Retirement and Paid Time Away</li><li>
Life Insurance and Disability</li><li>
Merchandise Discount and EAP Resources</li></ul> 
This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_17-19.pdf 
A few more important points... 
The job posting highlights the most critical responsibilities and requirements of the job. It&rsquo;s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job. 
For Los Angeles or San Francisco applicants: Nordstrom is required to inform you that we conduct background checks after conditional offer and consider qualified applicants with criminal histories in a manner consistent with legal requirements per Los Angeles, Cal. Muni. Code 189.04 and the San Francisco Fair Chance Ordinance. For additional state and location specific notices, please refer to the Legal Notices document within the FAQ section of the Nordstrom Careers site. 
 
Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com. 
Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ&rsquo;s for relevant information and guidelines.
Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs. 

Nordstrom keeps job postings open for at least one day after the posting date. 

&copy; 2026 Nordstrom, Inc</div>

Senior Full Stack Software Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</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. 
 
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. 
 
The AWS Data Center Engineering - BIM &amp; AI Technologies team is pioneering the next generation of AI-powered design automation for AWS's global data center infrastructure. We're seeking a Senior Software Development Engineer with Building Information Modeling (BIM) domain expertise to architect and deliver innovative solutions that transform how data center design documentation is created, updated, and reviewed at scale. 
 
As an SDE III on this team, you'll lead the design and implementation of novel generative AI applications that serve architects, engineers, construction managers, and facility operators. Working alongside software engineers, applied scientists, UX designers, product managers, and industry domain experts, you'll architect scalable production-ready systems that integrate BIM platforms, desktop applications, cloud services, and AI technologies to accelerate facility design workflows. This is an opportunity to leverage your Architecture, Engineering, Construction, and Ownership (AECO) industry expertise alongside your advanced software engineering skills to productionize ML models, mentor junior engineers, and solve complex design automation challenges for the building engineering and construction industry at an unprecedented scale.
 
 
This role requires both deep technical leadership and the ability to bridge software engineering with domain expertise in Building Information Modeling (BIM) and the AECO (Architecture, Engineering, Construction, and Ownership) industry. You will define the technical vision and roadmap for AI-native design automation, balancing innovation with practical implementation while ensuring alignment with broader organizational goals. This is a greenfield opportunity to build systems that will fundamentally change how Amazon designs and delivers data center facilities worldwide.
 
 
Key job responsibilities 
<ul><li>Design and architect scalable solutions for complex problems in the BIM and design automation space, balancing technical excellence with business impact</li><li>Lead the development of new features and services that deliver data center design projects faster while maintaining high quality standards</li><li>Write clean, maintainable, and well-documented code following software engineering best practices and establish coding standards for the team</li><li>Collaborate with applied scientists to productionize ML models for BIM and AECO applications, ensuring robust deployment and monitoring</li><li>Work closely with product, design, science, and AECO subject matter experts to deliver novel BIM and AI solutions</li><li>Design and implement integrations between BIM platforms (e.g., Autodesk Platform Services, Revit, etc.) and AWS services with focus on reliability and scalability</li><li>Implement human-in-the-loop (HITL) workflows that combine engineering expertise with AI automation, ensuring AI systems augment rather than replace professional judgment</li><li>Drive technical discussions and build consensus on architectural decisions within your team and across partner teams</li><li>Mentor junior engineers through code reviews, design discussions, and knowledge sharing</li><li>Advocate for critical customers and stakeholders during team prioritization and planning, influencing roadmap decisions</li></ul> 
About the team 
Why AWS 
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. 
 
Diverse Experiences 
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. 
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud. 
 
Inclusive Team Culture 
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 conferences, inspire us to never stop embracing our uniqueness. 
 
Mentorship and Career Growth 
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">
BASIC QUALIFICATIONS</h2><ul><li>7+ years of non-internship professional software development experience</li><li>7+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>7+ years of experience developing Building Information Modeling (BIM) software solutions for the AECO industry</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>7+ 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><li>Experience with AI/ML technologies and their practical applications in AECO industry problems (e.g., building design engineering automation, compliance checking, or construction documentation workflows)</li><li>Experience with BIM software platforms and APIs such as Autodesk Revit, Autodesk Forma, Autodesk Platform Services, or similar AECO industry tools</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit 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. 
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. 
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div>

Sr. Software Development Engineer, Data Center Design Engineering - BIM & AI Technologies

Zoom Communications

<div><div><ul><li>Seattle, Washington, United States
</li></ul></div><div><ul><li>Full time</li></ul></div></div>
 <div>What you can expect
We're seeking an experienced Machine Learning Engineer specializing in LLMs and autonomous agents and agentic AI to join our AI team. You'll be instrumental in developing and deploying intelligent agent systems that can understand context, make decisions, and execute complex tasks across our platform.
About the Team
The GenAI Engineering Team is committed to revolutionizing productivity in communication platforms through the delivery of AI Companion innovations. We are passionate about leveraging cutting-edge technology to drive significant advancements in how people communicate and collaborate.
Responsibilities:
<ul><li>Designing and implementing agent architectures that can reason about tasks, plan actions, and execute solutions.</li>
<li>
Developing prompt engineering frameworks and techniques for reliable agent behavior.</li>
<li>
Implementing safety mechanisms and oversight protocols for autonomous systems.</li>
<li>
Building and maintaining LLM-powered services using models like GPT-4, Claude, and internal models.</li>
<li>
Building robust testing frameworks for agent behavior validation.</li>
</ul>
What we&rsquo;re looking for:<ul>
<li>
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Cognitive Science, or a related field</li>
<li>
Have 5+ years of experience in ML engineering</li>
<li>
Exhibit expertise in NLP and transformer architectures</li>
<li>
Core stack: Python, Java, C++, or other programming languages for ML development.</li>
<li>
Demonstrate programming skills in Python or Java, with deep learning frameworks (PyTorch, Transformers, LangChain</li>
<li>
Have experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or similar.</li>
<li>
Have experience with cloud infrastructure stack (Kubernetes, Docker, AWS)</li>
</ul>
Salary Range or On Target Earnings:
Minimum:
$137,700.00
Maximum:
$275,400.00
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Note: Starting pay will be based on a number of factors and commensurate with qualifications &amp; experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations
At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>
Anticipated Position Close Date:</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
07/24/26
Ways of Working 
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
Benefits 
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.
About Us 
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. 
We&rsquo;re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. 
Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. We&rsquo;re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know&mdash;we&rsquo;re here to support you at every step. 
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.
Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.</div>

Machine Learning Engineer

<div><div><ul><li>Seattle, Washington, United States
</li></ul></div><div><ul><li>Full time</li></ul></div></div>
 <div>What you can expect
We're seeking an experienced Machine Learning Engineer specializing in LLMs and autonomous agents and agentic AI to join our AI team. You'll be instrumental in developing and deploying intelligent agent systems that can understand context, make decisions, and execute complex tasks across our platform.
About the Team
The GenAI Engineering Team is committed to revolutionizing productivity in communication platforms through the delivery of AI Companion innovations. We are passionate about leveraging cutting-edge technology to drive significant advancements in how people communicate and collaborate.
Responsibilities:
<ul><li>Designing and implementing agent architectures that can reason about tasks, plan actions, and execute solutions.</li>
<li>
Developing prompt engineering frameworks and techniques for reliable agent behavior.</li>
<li>
Implementing safety mechanisms and oversight protocols for autonomous systems.</li>
<li>
Building and maintaining LLM-powered services using models like GPT-4, Claude, and internal models.</li>
<li>
Building robust testing frameworks for agent behavior validation.</li>
</ul>
What we&rsquo;re looking for:<ul>
<li>
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Cognitive Science, or a related field</li>
<li>
Have 5+ years of experience in ML engineering</li>
<li>
Exhibit expertise in NLP and transformer architectures</li>
<li>
Core stack: Python, Java, C++, or other programming languages for ML development.</li>
<li>
Demonstrate programming skills in Python or Java, with deep learning frameworks (PyTorch, Transformers, LangChain</li>
<li>
Have experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or similar.</li>
<li>
Have experience with cloud infrastructure stack (Kubernetes, Docker, AWS)</li>
</ul>
Salary Range or On Target Earnings:
Minimum:
$137,700.00
Maximum:
$275,400.00
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Note: Starting pay will be based on a number of factors and commensurate with qualifications &amp; experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations.
Ways of Working 
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
Benefits 
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.
About Us 
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. 
We&rsquo;re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. 
Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. We&rsquo;re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know&mdash;we&rsquo;re here to support you at every step.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.
Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application &ndash; take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step.
Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.</div>

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Web Services has enabled large enterprises and growing startups to move quickly by increasing developer productivity. Security, auditability and governance in the cloud has moved from being a top concern to top reason for adopting Cloud services. AWS Config and Config Rules have been leading this transition by providing insights into user activity, change tracking and automated security and compliance tools.
 
 
We are looking for an experienced Sr. Software Development Engineer to join a highly respected team building one of the largest configuration audit platforms in the world. We are building agentic AI solutions that automate the end-to-end lifecycle of resource type onboarding - from research and schema authoring through testing, validation, and deployment. You'll work at the intersection of large-scale distributed systems and AI-driven automation, designing agents that can reason about AWS service APIs, author configuration schemas, and validate correctness with minimal human intervention. 
 
Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren&rsquo;t focused on how many hours you spend at work or online. Instead, we&rsquo;re happy to offer a flexible schedule so you can have a more productive and well-balanced life&mdash;both in and outside of work. 
 
Key job responsibilities 
<ul><li>Design, build, and operate high-scale, highly available distributed services that extend AWS Config.</li><li>Design and build AI agent orchestration systems that automate resource type onboarding at scale</li><li>Own solutions across the full lifecycle: design, implementation, deployment, monitoring, and support.</li></ul>
- Own operational excellence for agentic workflows - monitoring, alerting, and self-healing mechanisms 
<ul><li>Mentor and guide junior engineers through design reviews and constructive, rigorous code reviews.</li><li>Bring structure to ambiguous problems, manage competing priorities, and make data-driven decisions.</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>6+ years of non-internship professional software development experience</li><li>6+ years of programming with at least one software programming language experience</li><li>6+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>Experience building complex software systems that have been successfully delivered to customers</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>5+ 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><li>Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit 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. 
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. 
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div>

Senior Software Development Engineer, AWS Config

Cognizant

WE ARE
 Cognizant’s AI Market Unit sits at the intersection of strategy consulting, AI innovation, and enterprise technology services. We design and execute AI-driven reinventions that allow organizations to realize exceptional business value from artificial intelligence. Our mission is to help C-suite executives harness AI as a force to disrupt their industries, capture market share, and unlock sustainable growth.
 We combine deep industry expertise with hands-on AI capability—spanning agentic architectures, GenAI, and enterprise ML—to build differentiated offerings that move from concept to commercial impact at speed. We are trusted advisors who shape technology’s role in business strategy, not just its implementation.
 YOU ARE
 A strategy-first thinker who thrives at the intersection of AI capability and business opportunity. You have a consulting mindset: you instinctively structure problems, build hypotheses, pressure-test assumptions, and drive toward actionable recommendations backed by data. You combine strategic rigor with genuine AI literacy—you can articulate how an AI offering solves a specific industry problem and work with engineers and SMEs to ensure the value proposition is technically grounded.
 You are energized by shaping offerings that don’t exist yet, by turning market signals and client pain into structured, commercially strong propositions. You are a natural collaborator who can lead cross-functional discussions across service lines, industry teams, and offering leads to build consensus and drive decisions. You thrive in fast-moving environments where the work is high-visibility and directly tied to Cognizant’s AI growth agenda.
 ABOUT THE ROLE
 The Senior AI Strategist plays a pivotal role in shaping Cognizant’s AI portfolio by designing high-impact AI offerings, building compelling value propositions, and driving offering readiness across the AI Market Unit. This is a strategy and offering development role—you will own the journey from market opportunity identification through offering design, prioritization, and go-to-market enablement.
 You will work closely with offering leads, subject matter experts, Cognizant service lines, and industry teams to lead offering discussions, align stakeholders, and ensure offerings are commercially differentiated and delivery-ready. When offerings are brought to clients, you will help prepare client-facing materials and support presentations alongside the account and industry teams.
 IN THIS ROLE, YOU WILL
 Offering Strategy & Design
 <ul>
<li>Lead the design and development of AI-led offerings by synthesizing market signals, competitive intelligence, industry trends, and client demand into structured, commercially viable propositions</li>
<li>Conduct industry-specific opportunity assessments using frameworks including TAM analysis, competitive landscape mapping, client demand validation, and delivery-readiness scoring</li>
<li>Define offering roadmaps and prioritization tiers (Launch Ready, In Progress, Early Stage) to guide investment decisions and resource allocation across the AI portfolio</li>
<li>Build business cases and value narratives that quantify the impact of AI offerings for target industries (banking, healthcare payer, life sciences, and beyond)</li>
<li>Own the offering bill of materials—ensuring each offering has clearly defined scope, differentiators, delivery model, pricing guidance, and proof points</li>
</ul>
Cross-Functional Offering Leadership
 <ul>
<li>Lead offering discussions and workshops across Cognizant service lines, industry verticals, and technology teams to align on offering positioning, scope, and go-to-market approach</li>
<li>Partner with offering leads and subject matter experts to translate technical AI capabilities into business-oriented value propositions that resonate with industry buyers</li>
<li>Coordinate with industry teams to ensure offerings are tailored to vertical-specific pain points, regulatory contexts, and competitive dynamics</li>
<li>Drive stakeholder alignment across multiple functions—bridging the gap between engineering, delivery, industry, and commercial teams to move offerings from concept to market</li>
<li>Facilitate prioritization and trade-off discussions with senior leadership, using data-driven frameworks to support portfolio investment decisions</li>
</ul>
Client Enablement & Presentation Support
 <ul>
<li>Develop executive-ready offering decks, one-pagers, battlecards, and presentation materials that articulate AI offering value in client-facing contexts</li>
<li>Support account and industry teams in preparing for client meetings by tailoring offering narratives to specific client challenges and industry contexts</li>
<li>Present AI offerings to clients alongside account teams and offering leads when needed, articulating differentiation and business impact with clarity</li>
<li>Pressure-test offering assumptions and AI-generated insights using critical judgment, domain knowledge, and rigorous analysis before they reach clients</li>
</ul>
Thought Leadership & Market Intelligence
 <ul>
<li>Lead the creation of thought leadership assets—white papers, point-of-view documents, industry briefs—that establish Cognizant’s position as a leading AI strategy advisor</li>
<li>Monitor and synthesize emerging AI trends, competitive moves, and regulatory developments to inform offering strategy and portfolio direction</li>
<li>Contribute to internal knowledge capital by codifying frameworks, methodologies, and reusable IP that accelerate future offering development</li>
<li>Build and maintain a competitive intelligence view of how peers (Accenture, Deloitte, IBM, Capgemini) are positioning their AI offerings</li>
</ul>
REQUIRED QUALIFICATIONS
 <ul>
<li>7+ years of experience in strategy consulting, technology strategy, AI/digital advisory, or offering/product strategy at a consulting firm, professional services organization, or technology company</li>
<li>Demonstrated experience designing and developing technology or AI offerings, including defining value propositions, building business cases, and creating go-to-market materials</li>
<li>Proven ability to lead cross-functional discussions and drive alignment across diverse stakeholder groups (engineering, delivery, industry, commercial)</li>
<li>Strong analytical skills with experience conducting market assessments, competitive analysis, and quantitative modeling to inform strategic decisions</li>
<li>Track record of developing executive-ready presentations, offering decks, and thought leadership content for senior audiences</li>
<li>Strong understanding of the AI/ML landscape including GenAI, agentic AI, LLMs, and enterprise AI platforms</li>
<li>Excellent communication and facilitation skills—able to synthesize complex technical concepts into clear business narratives</li>
<li>3+ years of experience managing or mentoring team members and structuring analytical workstreams</li>
<li>Bachelor’s degree required</li>
</ul>
WHAT WILL HELP YOU STAND OUT
 <ul>
<li>MBA or equivalent graduate degree from a top-tier program</li>
<li>Prior experience at a Big 4, MBB, or Tier 1 technology strategy or offering development practice</li>
<li>Deep domain expertise in one or more priority industries: banking & capital markets, healthcare payer, or life sciences</li>
<li>Experience with GTM strategy, offering launch, or product management in a B2B enterprise context</li>
<li>Exposure to hyperscaler ecosystems (AWS, Azure, GCP) and AI platform partner models</li>
<li>Track record of published thought leadership (articles, speaking engagements, industry reports)</li>
<li>Ability to evaluate AI-generated outputs critically, with an understanding of data limitations, model risk, and bias</li>
<li>Familiarity with offering lifecycle frameworks, RACI models, and portfolio prioritization methodologies</li>
</ul>
Salary and Other Compensation : 
Applications will be accepted until July 31, 2026.
 The annual base salary for this position is between $175,000 - $210,000 depending on experience and other qualifications of the successful candidate.
 This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
 Benefits : Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
 Medical/Dental/Vision/Life Insurance
 Paid holidays plus Paid Time Off
 401(k) plan and contributions
 Long-term/Short-term Disability
 Paid Parental Leave
 Employee Stock Purchase Plan
 Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

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