it program manager - ai

project engineer

senior digital product manager Jobs in Seattle

senior digital product manager

senior project manager

software development director Jobs in Seattle

software development director

technical program manager

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Do you want to build the backbone of Generative AI cloud at AWS? Do you want to build the future of the cloud for AI training and inference? Want to do industry leading work delivering continuous price performance improvements in the cloud for AI model training for multi billion variable LLMs? Come Join us in designing, delivering and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads. 
 
Utility Computing (UC) 
AWS Utility Computing (UC) provides product innovations &mdash; from foundational services such as Amazon&rsquo;s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS&rsquo;s services and features apart in the industry. As a member of the UC organization, you&rsquo;ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. 
 
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. 
 
Key job responsibilities 
As a Cloud Hardware Development Engineer on the AWS Generative AI &amp; ML Servers team, you will partner with EC2 to define server architectures based on workload demand and customer requirements. You will translate these architectures into detailed supporting designs and component specifications that enable high-performance AI training and inference at scale. 
You will define and drive validation strategies from PCBA bring-up through server and rack integration, ensuring designs meet performance, thermal, mechanical, power, and signal integrity requirements. Working with interdisciplinary teams of component, firmware, test, qualification, and integration engineers, you will lead design and manufacturing partners through development and production. 
You will be responsible for triaging hardware issues at both ODM facilities and datacenters, conducting root cause analysis, and implementing corrective actions. After launch, you will oversee the fleet of servers you develop, monitoring quality metrics and ensuring they meet customer requirements while identifying opportunities for continuous improvement. 
 
A day in the life 
Your day to day responsibilities will include interfacing with internal customers to understand project requirements and facilitate system development. You will work directly with EC2 teams to align on architecture decisions and translate workload requirements into technical specifications. You will be responsible for learning operational challenges in the existing fleet with the goal of improving customer experience and developing improved systems for future designs. You will work directly with vendors and ODM/JDM design teams to develop and manufacture your product at scale, driving design reviews, resolving technical issues, and ensuring quality throughout the development lifecycle. 
 
About the team 
The team is comprise of both Hardware Design Engineers, System Design Engineers, Software Development Engineers and Technical Program Managers, all with the common goal of delivering the best Accelerated Server fleet possible to our customers. 
 
*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 (diversity) 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 in Electrical Engineering, Computer Engineering, or equivalent</li><li>2+ years of hardware design, development and validation experience for server or compute platforms</li><li>Experience in one or more server technologies: thermal/mechanical design, power delivery, high-speed signal integrity, or accelerator subsystems</li><li>Experience developing functional specifications, design verification plans, and validation test procedures</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Master's degree in Electrical Engineering, Computer Engineering, or a related field</li><li>2+ years of experience working with ODMs through product development and manufacturing lifecycle</li><li>Experience in high-speed bus design, signal integrity, or power delivery for server/compute platforms</li><li>2+ years experience working with hardware bring-up, debug, or validation of GPU/accelerator platforms</li><li>Familiarity with PCIe topology, NVMe, and accelerator interconnects</li><li>Experience developing and executing test procedures for electrical or mechanical systems</li><li>Experience working in large-scale datacenter or cloud environments</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. 
 
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. 
 
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, CA, Cupertino - 157,300.00 - 212,800.00 USD annually 
USA, TX, Austin - 136,000.00 - 184,000.00 USD annually 
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div>

Cloud Hardware Dev Engineer (AWS Generative AI & ML Servers), AWS Generative AI & ML Servers

Apple

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

<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

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

Curi Bio

<div><div><div><div>To apply, please email your CV and any other relevant documents to careers@curibio.com.
</div></div></div><div><h3 class="jobSectionHeader">SUMMARY</h3>
Curi Bio is a leading developer of human stem cell-based platforms for drug discovery based in Seattle, WA. Curi integrates human stem cell models, tissue specific biosystems, and AI/machine learning-based phenotypic screening into its preclinical discovery platform to accelerate discovery of next generation medicines. With Curi Bio&rsquo;s suite of human stem cell-based products and services, scientists are able to build more mature and predictive human iPSC-derived tissues, with a focus on cardiac, musculoskeletal, and neuromuscular models. Curi Bio is closing the gap between preclinical data and human results, accelerating the discovery and development of safer, more effective medicines.
Curi Bio is a startup company seeking a Research Associate to join our team whose primary responsibility will be cellular media production and quality control, with additional support for skeletal muscle and motor neuron differentiation, cell expansion, and shipping/logistics. Prioritized candidates will have hands-on experience formulating and producing cell culture media, aseptic cell culture experience, prior biotech experience, and experience with standard cell biology assays. Experience in quality control/assurance functions and/or logistics in a biotech atmosphere is highly desired.
<h3 class="jobSectionHeader">ESSENTIAL FUNCTIONS &amp; RESPONSIBILITIES</h3>
<ul><li>Formulate, produce, and quality-control cellular media supporting 2D and 3D tissues utilizing iPSC-derived cardiomyocyte, skeletal muscle, and motor neurons
</li><li>Own media production scheduling, lot documentation, and specifications; troubleshoot and improve formulations and production workflows
</li><li>Cell production and quality control
</li><li>Production of iPSC-derived motor neuron and skeletal muscle differentiations
</li><li>Basic iPSC cell culture and 3D muscle tissue engineering
</li><li>Packaging and coordinating shipping of Curi Bio products
</li><li>Communicate effectively with team to ensure proper Go/ No-Go Decisions and adherence to cell differentiation protocols
</li><li>Complete appropriate documentation, audit, and release of products. Maintain detailed, up-to-date, and well-documented Electronic Lab Notebook (ELN)
</li><li>Update and communicate with scientific staff in person, though typically flexible work schedule
</li><li>Perform other job-related duties as required. Weekend work will be required
</li></ul><h3 class="jobSectionHeader">MINIMUM QUALIFICATIONS</h3>
<ul><li>Bachelor&rsquo;s degree in a scientific field is required
</li><li>Experience preparing, filtering, and QC-testing cell culture media, buffers, and reagents
</li><li>Cell culture and/or tissue culture experience is required
</li><li>Excellent sterile technique and ideally some microscopy experience
</li><li>Ability to manage timelines and goals, work in a matrixed team environment
</li><li>Proficient in standard Office programs like Word, PowerPoint, and Excel
</li><li>Proven ability to troubleshoot technical and scientific issues, both individually and as part of a team
</li></ul><h3 class="jobSectionHeader">PREFERRED QUALIFICATIONS</h3>
<ul><li>Strong preference for local candidates
</li><li>Experience producing media at scale or working to defined media specifications and lot release criteria
</li><li>Familiarity or experience with GMP practices and record-keeping
</li><li>Biotech/Pharmaceutical company or CRO experience
</li></ul><h3 class="jobSectionHeader">WORKING CONDITIONS / PHYSICAL DEMANDS</h3>
<ul><li>Fine motor skills needed for aseptic work.
</li></ul><h3 class="jobSectionHeader">BENEFITS</h3>
<ul><li>Full-Time Salary Range: $68,000-75,000 + benefits. Actual pay will be determined based on education, certifications, experience, and other job-related factors permitted by law.
</li><li>Medical, Dental, Vision, Life
</li><li>401k plan
</li><li>Commuter assistance program
</li><li>Career advancement opportunities within Curi Bio
</li><li>Relocation assistance will not be provided
</li></ul><h3 class="jobSectionHeader">HOW TO APPLY</h3>
Please email your CV and any other relevant documents to careers@curibio.com.
Visit www.curibio.com/careers for more information on Curi Bio and other open positions.
Curi Bio is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.</div></div>

Research Associate II, Media and Cell Production

turing

<div><div><h1 class="jobSectionHeader">About Turing</h1>

Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com.</div><div></div> 
Turing is looking for a Senior Technical Recruiter to join our embedded Research Engineering Recruitment Pod. In this role, you will work side-by-side with our Research Scientists, Research Engineers, and AI leadership to source, engage, and close the talent building at the frontier of AI.

This is not a high-volume, transactional recruiting role. The talent pool for elite Research Engineers and Forward-Deployed Engineers is highly concentrated, hyper-competitive, and continuously targeted by frontier labs. You will act as an embedded strategic partner, mapping passive talent ecosystems across academia, quantitative research, and open-source networks, developing technically informed candidate pipelines, and orchestrating bespoke closing strategies for candidates who do not move through standard corporate hiring funnels.
<h3 class="jobSectionHeader">
The Anti-Sell</h3>

This is a high-urgency recruiting role. You will compete head-to-head with frontier AI labs and hyperscalers for candidates who are often managing multiple highly competitive offers. Winning in this market requires deep technical literacy, exceptional speed, and continuous market intelligence.

This isn't for everyone. But if you want to work on an elite team to hire the most sought-after talent in frontier AI and help build the teams defining what comes next in the field, this role may be for you!
<h3 class="jobSectionHeader">
What You'll Do</h3>
<h4 class="jobSectionHeader">Sourcing &amp; Pipeline Building</h4>
<ul><li>Look beyond standard keyword searches by continuously tracking arXiv preprints, GitHub activity, OpenReview submissions, and open-source contributions.</li>
<li>Map and cultivate passive talent ecosystems across top PhD programs (Stanford, MIT, CMU), frontier research labs and high-growth AI startups.</li>
<li>Build proactive candidate pipelines long before formal requisitions open, using emerging signals across research, open-source, and professional networks to identify and engage exceptional talent early.</li>
</ul><h4 class="jobSectionHeader">Engaging Incredibly Hard-to-Reach Talent</h4>
<ul><li>Reach passive researchers, Research Engineers, and Forward-Deployed Engineers who do not respond to generic recruiter outreach.</li>
<li>Demonstrate the technical fluency to assess candidate relevance, understand research contributions, and partner with technical leaders on candidate calibration across relevant technical domains.</li>
</ul><h4 class="jobSectionHeader">Closing Highly Sought-After Talent</h4>
<ul><li>Partner directly with the CEO, CTO, and research leaders to design and execute individualized closing playbooks for highly sought-after talent.</li>
<li>Win contested offers by understanding each candidate's motivations and leveraging the aspects of the opportunity that matter most to them.</li>
</ul><h3 class="jobSectionHeader">What We're Looking For</h3>
<ul>
<li>Technical Recruiting Track Record: 4+ years of full-lifecycle technical recruiting experience, with proven depth in AI/ML, Research Engineering, Distributed Systems, or Forward-Deployed Engineering.
</li>
<li>Domain Literacy: Ability to speak credibly with top researchers and technical leaders.
</li>
<li>Proven Closer: Demonstrated track record of personally sourcing and closing highly sought-after candidates against competing offers from frontier labs or hyperscalers.
</li>
<li>Compensation &amp; Equity Fluency: Strong understanding of private-company equity, technical compensation, and competitive market benchmarking.
</li>
<li>High Ownership &amp; Startup Speed: Ability to operate with high urgency in a fast-moving AI research environment.
</li>
</ul><h3 class="jobSectionHeader">What Success Looks Like</h3>
<ul><li>Compounding Talent Density: Continuously raising the technical caliber and execution velocity of Turing's Research Engineering and Forward-Deployed AI teams.</li>
<li>High Win Rates: Consistently converting highly sought-after candidates and maintaining strong offer acceptance rates in contested searches.</li>
<li>Trusted Technical Partnership: Earning deep trust with research directors and technical leads, acting as an embedded advisor who understands the research roadmap.</li></ul><div><h2 class="jobSectionHeader"> 
Values</h2>
<ul><li>We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. 
</li>
<li>We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection 
</li>
<li>We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.</li>
</ul><h2 class="jobSectionHeader">Advantages of joining Turing</h2>
<ul><li>Work at the frontier of AI, helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. 
</li>
<li>Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. 
</li>
<li>Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges. 
</li>
<li>Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. 
</li>
<li>Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.</li></ul> 


Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
<div>
For applicants from the European Union, please review Turing's GDPR notice here.</div></div></div>

Senior Technical Recruiter - Research Engineering Pod

<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

Explore 10+ Technical program manager in Seattle this September. Find roles across top companies and apply now to boost your career.