sr. applied scientist, ai evaluation & quality systems

applied scientist ii- recruiting ai agents, recruiting agents & candidate voice

applied scientist iii- recruiting ai agents, recruiting agents & candidate voice

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sr. applied scientist, ai evaluation & quality systems Jobs in Seattle

ai / software engineering intern Jobs in Seattle

ai / software engineering intern

applied scientist ii- recruiting ai agents, recruiting agents & candidate voice Jobs in Seattle

applied scientist iii- recruiting ai agents, recruiting agents & candidate voice Jobs in Seattle

principal software engineer Jobs in Seattle

principal software engineer

senior applied scientist industrial robotics group

Apple

Apple Services Engineering (ASE) powers the AI and LLM features behind experiences that hundreds of millions of users love every day. As these systems increasingly rely on human-in-the-loop evaluation, the quality of our products is directly constrained by the quality of our evaluation systems. We believe that to build exceptional AI, you need exceptional mechanisms to validate the signals used to train and evaluate them. 
 
Description 
 
The Human-centered AI, ML Data Quality Operations team is looking for a Senior Applied Scientist to join our growing team. We are building the systems and methodologies that make AI evaluation trustworthy, and scalable - directly shaping how Apple develops and validates AI across products and services. In this role, you will develop novel, scalable quality control solutions, working closely with cross-functional teams to ensure the data powering our AI/ML systems meets the highest standards of accuracy, consistency, and relevance. Your work will span the full lifecycle of quality assurance for AI and human judgments - from real-time validation and human-verified ground truth generation, to root-cause analysis that turns disagreements into corrective action. This role demands fluency across research thinking and engineering execution - you will prototype, validate, and ship. A strong point of view on when not to use a model or agent is as valued here as the ability to build one. 
 
&quot;,&quot;responsibilities&quot;:&quot;Design and implement scalable ground truth generation pipelines across varied task types, annotation modalities, and cold start conditions 
 
Build and maintain real-time monitoring systems that detect drift, distribution shifts, and quality degradation as they emerge across live evaluation and annotation pipelines. 
 
Design calibration frameworks that periodically re-anchor LLM evaluators against human-verified gold sets, correcting drift before it compounds. 
 
Build root-cause analysis tooling that surfaces disagreement patterns between automated and human judgments, and feeds findings directly into annotator training and guideline refinement. 
 
Partner closely with downstream users of these systems -ML teams, LLM-as-a-Judge (evaluator) developers, annotators - to ground design decisions in real feedback and usage patterns, not just architecture. 
 
Communicate findings and recommendations clearly to both technical and non-technical stakeholders 
 
Preferred Qualifications 
 
PhD in Computer Science, Machine Learning, Statistics, or a related field 
 
Experience in designing systems or tooling that are configurable and extensible by practitioners who did not build them 
 
Strong communication skills with the ability to influence technical direction across cross-functional teams 
 
Demonstrated passion for leveraging AI to improve work efficiency and scale 
 
Minimum Qualifications 
 
5+ years of industry experience in applied science or machine learning, with demonstrated experience building or operating production-grade evaluation, annotation, or quality-assurance pipelines. 
 
Hands-on experience designing ground truth generation pipelines across varied task types and annotation modalities, including cold-start scenarios with limited existing data. 
 
Experience building real-time monitoring or anomaly/drift detection systems for live data or ML pipelines. 
 
Working knowledge of evaluation methodology for generative AI - including LLM-as-a-judge design, meta-evaluation, failure mode analysis, and calibration/reference-guided grading techniques 
 
Strong software engineering fundamentals and proficiency in Python and relevant ML frameworks, with production experience building, deploying, and monitoring LLM-based pipelines and agents. 
 
Demonstrated ability to work directly with downstream users/stakeholders to incorporate feedback into system design, and to communicate findings clearly to both technical and non-technical audiences. 
 
MS or PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience. 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $142,300 and $263,300, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Sr. Applied Scientist, AI Evaluation & Quality Systems

Expedia Group

<div>At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. 
 
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
Introduction to the Product Team
 
The Product Team creates high-quality end-to-end experiences for travelers, partners, and Expedia Group. Our customer-first mindset focuses on developing products that encourage loyalty and repeat business from our travelers and partners. We partner closely with teams across Expedia Group to achieve growth and results for our customers and company.
We connect Travelers to new experiences, through trusted relationships. We use the power of Expedia Group brands to empower strategic partners to nurture and grow the existing relationship with their audience. Strategic Partnerships and Affiliates breadth of solutions which include cashback, travel offers, loyalty exchange, co-branded sites, Affiliate APIs and EG&rsquo;s Affiliate Program, bring a partners&rsquo; audience onto EG sites, thereby increasing EG&rsquo;s traffic and exposure.
Introduction to the Layla Team
Layla is an AI-native travel-planning and booking company, now part of Expedia Group&rsquo;s Product organization. Through a conversational travel assistant, Layla helps travelers move from inspiration to a complete, bookable itinerary &mdash; flights, hotels, activities, and the day-by-day detail &mdash; in minutes. As part of Expedia Group, the team combines Layla&rsquo;s planning and personalization capabilities with Expedia Group&rsquo;s global supply, first-party traveler insights, marketplace scale, and booking technology.
The team is small and senior by design and operates with startup pace: you own a surface, ship it, and see the impact on real travelers within weeks &mdash; with decisions driven by data and AI tooling used in practice every day.
As a Senior Frontend Engineer, you will build the web experiences that bring Layla&rsquo;s conversational trip planning and booking to travelers &mdash; turning an AI-native travel assistant into fast, intuitive, and accessible interfaces.
In this role, you will:
<ul><li>Build reusable, component-based web interfaces with modern frontend frameworks (React / Next.js) that make Layla&rsquo;s conversational travel planning and booking intuitive, fast, and accessible.
</li><li>Translate product concepts, designs, and wireframes into high-quality, maintainable code, partnering closely with Product, Design, and backend engineering to ship features end to end.
</li><li>Develop performant, scalable, and reliable web applications, maintaining cross-browser compatibility and resolving performance bottlenecks.
</li><li>Run experiments and iterate quickly on the traveler experience, using data to guide UI and interaction decisions.
</li><li>Safely integrate and operate AI/ML-enabled capabilities in the web experience &mdash; such as assistant-driven planning, personalization, and recommendations &mdash; applying AI/ML concepts to real-world features responsibly.
</li><li>Advocate for engineering excellence, usability, accessibility (a11y), and quality, and help drive frontend architecture decisions and reusable patterns.
</li><li>Mentor other engineers through code review, technical design feedback, and knowledge sharing.
</li></ul>Minimum Qualifications:
<ul><li>Bachelor&rsquo;s degree in Computer Science or a related technical field; or equivalent related professional experience.
</li><li>8+ years of experience developing production-quality code in a professional software engineering role.
</li><li>Deep frontend/web development expertise, including JavaScript, React, HTML, and CSS, and experience building reusable, component-based user interfaces.
</li><li>Solid grounding in computer science fundamentals &mdash; data structures, algorithms, and object-oriented programming.
</li><li>Demonstrated ability to build fast, scalable, and reliable web applications with maintainable, testable frontend architecture.
</li><li>Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real-world products, with a focus on safely integrating these capabilities into web features.
</li></ul>Preferred Qualifications:
<ul><li>Experience with Next.js or similar modern React frameworks, including server-driven or server-rendered UI patterns.
</li><li>Experience partnering across the stack (for example, Node.js and APIs) to deliver end-to-end features.
</li><li>Experience building accessible (a11y) and inclusive web interfaces.
</li><li>Experience running experiments (A/B testing) and using product data to inform frontend decisions.
</li><li>Experience integrating AI/ML-enabled or generative-AI capabilities into web products, with attention to safety and responsible use.
</li><li>Experience using AI-assisted development tools (for example, Claude or similar) to improve developer productivity, code quality, and delivery speed.
</li><li>Experience in e-commerce, marketplace, or travel domains.
</li><li>Demonstrated ability to drive frontend architectural improvements and to mentor other engineers.
</li></ul>Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee&rsquo;s passion for travel, we offer a wellness &amp; travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits .
The total cash range for this position in Seattle is $184,500.00 to $258,000.00. Employees in this role have the potential to increase their pay up to $295,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.&amp;#xa;The total cash range for this position in Austin is $184,500.00 to $258,000.00. Employees in this role have the potential to increase their pay up to $295,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. 
 
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual&rsquo;s knowledge, skills, and experience. Pay ranges may be modified in the future. 
 
Benefits and perks
Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life . 
 
Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation . 
 
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease. 
 
Important notice
Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/ . 
 
Equal Opportunity
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.</div>

Senior Frontend Engineer - Layla AI

<div>At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. 
 
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
Introduction to the Product Team
 
The Product Team creates high-quality end-to-end experiences for travelers, partners, and Expedia Group. Our customer-first mindset focuses on developing products that encourage loyalty and repeat business from our travelers and partners. We partner closely with teams across Expedia Group to achieve growth and results for our customers and company.
We connect Travelers to new experiences, through trusted relationships. We use the power of Expedia Group brands to empower strategic partners to nurture and grow the existing relationship with their audience. Strategic Partnerships and Affiliates breadth of solutions which include cashback, travel offers, loyalty exchange, co-branded sites, Affiliate APIs and EG&rsquo;s Affiliate Program, bring a partners&rsquo; audience onto EG sites, thereby increasing EG&rsquo;s traffic and exposure.
Introduction to the Layla Team
Layla is an AI-native travel-planning and booking company, now part of Expedia Group&rsquo;s Product organization. Through a conversational travel assistant, Layla helps travelers move from inspiration to a complete, bookable itinerary &mdash; flights, hotels, activities, and the day-by-day detail &mdash; in minutes. As part of Expedia Group, the team combines Layla&rsquo;s planning and personalization capabilities with Expedia Group&rsquo;s global supply, first-party traveler insights, marketplace scale, and booking technology.
The team is small and senior by design and operates with startup pace: you own a surface, ship it, and see the impact on real travelers within weeks &mdash; with decisions driven by data and AI tooling used in practice every day.
As a Senior AI / ML Data Engineer, you will build the data foundations that power Layla&rsquo;s AI-native travel experiences &mdash; the reliable pipelines, high-quality datasets, and experimentation and evaluation support that let the team ship and improve AI/ML systems in production with confidence.
In this role, you will:
<ul><li>Design, build, and operate reliable, scalable data pipelines that power Layla&rsquo;s AI-native trip-planning and booking experiences across Layla and Bellboy.
</li><li>Own data quality, reliability, and observability across critical datasets, establishing well-documented, trustworthy data models that other teams can confidently extend.
</li><li>Build and support the data foundations for experimentation and model evaluation, enabling honest, timely readouts that inform product and AI/ML decisions.
</li><li>Enable the production use of AI/ML systems &mdash; supporting feature and data availability, evaluation datasets, and monitoring &mdash; while applying AI/ML concepts responsibly.
</li><li>Partner closely with Product, Analytics, and ML/engineering teams to turn ambiguous questions into dependable data and self-serve answers.
</li><li>Advocate for engineering excellence in data &mdash; testing, documentation, and reusable patterns &mdash; and mentor other engineers on best practices.
</li></ul>Minimum Qualifications:
<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, or a related technical field; or equivalent related professional experience.
</li><li>8+ years of relevant professional experience.
</li><li>Strong data engineering expertise, including advanced SQL and data modeling, and experience designing and operating production data pipelines.
</li><li>Proficiency with Python for data engineering work.
</li><li>Demonstrated ability to own data quality, reliability, and observability for critical datasets in production.
</li><li>Familiarity with supporting AI/ML systems in production &mdash; such as data/feature pipelines, evaluation datasets, or experimentation &mdash; and applying AI/ML concepts to real-world products responsibly.
</li></ul>Preferred Qualifications:
<ul><li>Experience with a modern data stack (for example, a transformation framework such as dbt, a cloud warehouse such as BigQuery or Snowflake, and BI tools such as Looker or Metabase).
</li><li>Experience building and maintaining experimentation frameworks and product analytics for a consumer product with real paid acquisition.
</li><li>Experience with attribution modeling, including an understanding of its limitations.
</li><li>Experience supporting production AI/ML or generative-AI systems (feature pipelines, evaluation, or monitoring), with attention to safety and responsible use.
</li><li>Experience using AI-assisted development tools (for example, Claude or similar) to improve productivity, quality, and delivery speed.
</li><li>Experience in travel, marketplace, or e-commerce domains, or building a data/analytics function from scratch.
</li></ul>Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee&rsquo;s passion for travel, we offer a wellness &amp; travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits .
The total cash range for this position in Seattle is $184,500.00 to $258,000.00. Employees in this role have the potential to increase their pay up to $295,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.&amp;#xa;The total cash range for this position in Austin is $184,500.00 to $258,000.00. Employees in this role have the potential to increase their pay up to $295,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. 
 
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual&rsquo;s knowledge, skills, and experience. Pay ranges may be modified in the future. 
 
Benefits and perks
Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life . 
 
Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation . 
 
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease. 
 
Important notice
Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/ . 
 
Equal Opportunity
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.</div>

Senior AI / ML Data Engineer - Layla AI

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. 
 
The Amazon Agentic WorkSpaces organization is building the future of secure, high-performance agentic WorkSpaces Applications environments &mdash; environments that span desktops and 
applications, serving knowledge workers, task workers, and automation agents at millions-of-user scale. 
 
## The role 
 
The Amazon Agentic WorkSpaces organization is seeking a Software Development Manager to lead the engineering team behind Amazon WorkSpaces Advisor, our AI-powered troubleshooting and 
optimization experience for administrators. We are building agentic solutions that analyze fleet telemetry, diagnose root causes, and recommend or apply fixes &mdash; turning problems that once 
took days of manual investigation into answers delivered in minutes. Our aim is to make virtual desktop and application environments effectively self-diagnosing, so administrators spend 
their time on strategic work instead of chasing symptoms across consoles and logs. 
 
You will lead a team of software engineers building at the intersection of applied AI and large-scale distributed systems. You will own Advisor end to end &mdash; expanding the range of problems it can solve, raising the accuracy and trustworthiness of its recommendations, and advancing it from reactive troubleshooting toward proactive detection and self-healing. In 
addition, your team owns a set of Control Plane Services through which customers provision, configure, and manage their environments, where you will be accountable for availability, latency, security posture, and operational health. This role offers the opportunity to build new agentic products from the ground up while operating production services that customers 
depend on every day. 
You will influence the technical direction of the team and work across many different technologies and disciplines. You will raise the engineering bar &mdash; design rigor, code quality, test coverage, and safe deployment practices &mdash; and champion an AI-native, automation-first approach to how software gets built and operated, using agentic tooling to increase velocity without 
trading away quality. You will identify technology gaps and opportunities and write effective communications including design documents, tenets, and PR/FAQs. Above all, you will hire, grow, and retain engineers who scale with the business. 
 
About the team 
ABOUT AWS: 
 
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.
 
 
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. 
 
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 flexible work hours and arrangements are part of our 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 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. 
 
<h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>3+ years of engineering team management experience</li><li>7+ years of working directly within engineering teams experience</li><li>3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience</li><li>8+ years of leading the definition and development of multi tier web services experience</li><li>Knowledge of engineering practices and patterns for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations</li><li>Experience partnering with product or program management teams</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy</li><li>Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers</li><li>Experience delivering customer-facing features built on generative AI or agentic capabilities, including evaluating and improving output quality in production</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 - 184,900.00 - 250,200.00 USD annually</div>

Software Development Manager, Agentic WorkSpaces Applications, Amazon Agentic WorkSpaces

At Apple, great ideas quickly become phenomenal products, services, and customer experiences. Join us in powering the global media experiences loved by millions! Our Media Processing Infrastructure team designs, builds, and operates the scalable, resilient, and high-performance workflow platforms that ingest, process, and transcode rich audio and video at massive scale. 
 
Our portfolio spans from lightweight App Store previews to multi-terabyte feature film sources - powering flagship Apple services including Apple TV, Apple TV Channels, Apple Fitness+, Apple Original Films &amp; TV, Apple Music Video, hosted Apple Podcasts, and live linear streaming orchestration. We build robust, distributed systems that process media flawlessly, focusing on reliability, extreme performance, and disruptive engineering excellence. 
 
Description 
 
In this role, you will lead a high-caliber team responsible for the core workflow and distributed transcoding infrastructure that power Apple&rsquo;s media ecosystem. You will own the strategy, technical roadmap, and architectural direction for systems managing exponentially growing asset volumes and workflow complexity across both VOD (including sports VOD and clips) and live linear streaming services. 
 
As a hands-on technical manager, you will remain deeply credible in the underlying architecture and distributed Java backend systems while fostering a culture of ownership, operational rigor, and continuous growth. You will also champion modern engineering velocity by cultivating your team's fluency with agentic and generative AI tooling-driving adoption to accelerate delivery and set a new standard for engineering excellence.&quot;,&quot;responsibilities&quot;:&quot;Lead hiring, onboarding, mentoring, and performance management to build, retain, and inspire a world-class, inclusive engineering team. 
 
Define and communicate the team's technical vision, architectural roadmap, and execution strategy aligned with broader Apple Media Services objectives. 
 
Maintain deep technical credibility across distributed Java backend services, media pipelines, and storage/caching layers-guiding critical architecture decisions and high-scale design reviews. 
 
Drive the evolution of our high-performance asset cache solution and media orchestration engines, expanding them as foundational platform offerings adopted across Apple. 
 
Scale and harden infrastructure to handle rapid growth in both asset volume and workflow complexity across VOD, sports highlights, and live linear orchestration. 
 
Drive your team&rsquo;s adoption and sustained fluency with generative and agentic AI tooling to elevate engineering velocity, code quality, and testing practices. 
 
Actively shape AI-assisted developer workflows within the team and champion best practices across the broader organization. 
 
Partner closely with cross-functional stakeholders across engineering, Product, Project Management, Operations, and SRE to ensure seamless end-to-end delivery and high system availability. 
 
Champion operational excellence and reliability, ensuring mission-critical production pipelines maintain world-class resilience, low latency, and fault tolerance. 
 
Preferred Qualifications 
 
Prior experience in direct people management leading teams of 5+ engineers in a fast-paced platform or infrastructure domain. 
 
Hands-on experience with agentic AI frameworks, generative AI tooling, or LLM-integrated developer workflows applied to production software development. 
 
Skilled in fostering organizational AI fluency-evaluating developer tooling, establishing modern workflows, and driving sustained adoption across an engineering team. 
 
Experience with large-scale media processing pipelines, video transcoding technologies (e.g., HEVC, HDR, stereoscopic video), or live streaming linear orchestration. 
 
Proven background building and scaling distributed caching tiers or high-throughput asset storage solutions adopted broadly across an enterprise organization. 
 
Demonstrated ability to translate ambiguous, high-scale media requirements into robust technical roadmaps and durable platform architectures. 
 
Minimum Qualifications 
 
5+ years of software engineering experience designing, building, and operating mission-critical, highly scalable distributed systems at production scale. 
 
Proven track record of building, leading, and mentoring high-performing software engineering teams with direct people management responsibility. 
 
Deep technical expertise in Java and modern backend distributed system architectures (concurrency, distributed caching, asynchronous messaging, and workflow orchestration). 
 
Demonstrated ability to remain technically credible across complex systems-engaging in architectural reviews and deep-dive technical discussions that earn the trust of senior engineers. 
 
Strong track record of partnering cross-functionally and driving alignment across engineering, project management, operations, and SRE organizations. 
 
Proven experience with platform-oriented engineering-designing reusable, scalable infrastructure and APIs that serve as dependable foundations for other teams. 
 
BS Degree in Computer Science or equivalent work experience. 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $195,700 and $338,400, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Software Engineering Manager - ASE Media Processing Infrastructure

Technical Program Manager, Developers Infrastructure

Explore 13+ Senior applied scientist industrial robotics group in Seattle this September. Find roles across top companies and apply now to boost your career.

13 senior applied scientist industrial robotics group jobs In Seattle

Sr. Applied Scientist, AI Evaluation & Quality Systems

Sr. Applied Scientist, AI Evaluation & Quality Systems

Senior Frontend Engineer - Layla AI

Senior AI / ML Data Engineer - Layla AI

Software Development Manager, Agentic WorkSpaces Applications, Amazon Agentic WorkSpaces

Software Engineering Manager - ASE Media Processing Infrastructure

Technical Program Manager, Developers Infrastructure