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As an Sr. Applied Research technical lead at eBay, you will be at the center of how multi-modal intelligence is applied across products. You will not just support AI development, you will lead a team of applied researchers and machine learning engineers to help define how AI driven solutions operate, scale, and deliver value. Your work will directly influence model quality, operational efficiency, and the ways AI enhances user experience across eBay.
Metrics and Reporting:
Define key performance metrics for AI models. Maintain operational excellence standards for data pipelines and models in production
Tools and Technical Fluency
Ph.D. in AI or equivalent research experience. Proficiency in Python and PyTorch for data processing, model training and inference. Expertise in Vision-Language Models and image/video retrieval. Deep understanding of key computer vision techniques for classification, image/video retrieval, 3D modeling, and Image/Video generation. Bonus: experience with frameworks for large-scale multi-GPU training (e.g. PyTorch Lightening, Nemo etc.) and for large scale inference (TensorRT, vLLM )
Two years plus of experience as a tech lead or a manager of science/engineering teams. Comfortable coaching, and enabling team members to deliver high-quality work through clear direction, support, and collaboration.
Quality and Attention to Detail
Detail oriented in how you work with data, models, documentation, and process. Ability to catch inconsistencies early, ensuring standards are consistently met across workflows and deliverables.
The base pay range for this position is expected in the range below:
$210,400 - $280,900These jobs might be a good fit

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If you thrive in a fast-paced, hands-on environment and are eager to grow your HR career, this is your chance to learn, lead, and make a difference. You’ll be part of an agile, supportive team that drives engagement, builds trust, and keeps our operation running smoothly.
Key ResponsibilitiesServe as the first point of contact for employee questions and HR support.
Build strong partnerships with Site Leaders, Operations Directors, PBPs, Legal, and external vendors to deliver efficient, high-quality HR support in collaboration with onsite Generalists.
Help managers document Corrective Council & Conversation Memos for employees across Authentication Operations (US)
Coordinate hiring and onboarding activities with the PeX team— including onsite interviews, leader debrief sessions, and conducting new hire orientations.
Support employee relations documentation and investigations under HR guidance.
Partner with PeX, safety, security and other business partners to help coordinate training and safety programs for site employees in collaboration with site leadership.
Prepare HR reports and assist with audits and compliance checks across US-based Authentication Operations sites.
Partner with the site team on engagement, communication, and recognition initiatives.
Maintain confidentiality and uphold company values and workplace standards.
Bachelor’s degree in Human Resources, Business, Psychology, or equivalent experience.
0–2 years of HR, recruiting, or administrative experience (internships welcome).
Exposure to warehouse, manufacturing, or distribution environments is a plus.
Strong communication and organizational skills with attention to detail.
Comfortable interacting with all levels of employees and leadership.
Demonstrated ability to handle sensitive information with discretion.
Willingness to spend time on the floor and build relationships with employees.
To succeed in this role, you will need drive, energy and a positive mindset to empower others. Furthermore, we need someone who lives and breathes Agile delivery, has impact every single day, and wants to take a leading role in coordinating how we work.
The base pay range for this position is expected in the range below:
$58,700 - $84,400These jobs might be a good fit

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Job Summary
In this role, you will work closely with technical writers, content strategists, and other stakeholders to ensure a seamless and powerful content authoring and publishing experience for our users.
What you'll do
Develop and customize AEM Guides components, templates, and workflows to meet specific documentation and publishing requirements.
Design and implement DITA-OT plugins, specific schematron rules, specific post-processing pipelines in AEM.
Configure and maintain the AEM publishing pipelines using DITA-OT for various output formats (PDF and HTML5) and optimize content in the Java Content Repository (JCR).
Implement and manage content standards and a structured authoring environment, focusing on reuse, metadata, and file structure to improve content consistency across teams.
Integrate AEM Guides with other internal systems and part of the Adobe stack with various APIs and web services.
Configure and maintain AEM instances, including dispatcher configurations, user permissions, OSGi services, and system maintenance.
Develop and implement strategic plans for the content platform that align with the larger Red Hat content vision and roadmap.
Troubleshoot, debug, and optimize AEM performance and resolve technical issues related to content implementation and delivery.
Document technical specifications, architecture, and development processes for knowledge sharing and future reference.
What you'll bring
Proven experience as an AEM Developer, including custom component development and integration
Expertise in AEM architecture and building blocks, including Sling Models, OSGi bundles, custom workflows, templates, and components.
Familiarity with converting structured, topic-based source (in formats such as DITA/XML or AsciiDoc) to HTML and experience applying content architecture concepts like content reuse, metadata, single sourcing content, applying conditional values, and information architecture in a CMS.
Knowledge of creating custom DITA-OT plugins and deploying them in the AEM Guides environment is preferred but not required.
Advanced research and analytical skills for complex problem-solving and troubleshooting cross-functional issues.
Ability to develop and implement strategic technical plans that fit into a larger content vision and roadmap.
Experience with development tools such as Maven, Git, JIRA, Slack, and experience in operating in an Agile/Scrum methodology.
Excellent written and verbal communication skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholders.
Experience working in a complex, cross-functional technology organization.
Ability to manage multiple assignments at once and good project management skills.
The salary range for this position is $116,270.00 - $191,840.00. Actual offer will be based on your qualifications.
Pay Transparency
● Comprehensive medical, dental, and vision coverage
● Flexible Spending Account - healthcare and dependent care
● Health Savings Account - high deductible medical plan
● Retirement 401(k) with employer match
● Paid time off and holidays
● Paid parental leave plans for all new parents
● Leave benefits including disability, paid family medical leave, and paid military leave
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Essential Responsibilities:
Expected Qualifications:
Additional Responsibilities & Preferred Qualifications
WhereExperience Strategydefines theand
This is not just a UX strategy or systems design role—it’s both. You will lead the practice of Experience Architecture: the structuring of journeys, flows, navigation, taxonomy, and interaction models into a unified, extensible system. Your work will ensure that every interaction fits together to form a complete, coherent whole—one that reflects our brand, reinforces behavior, and reduces experience entropy as we scale.
Key Responsibilities
Architect the Experience Ecosystem
Lead Horizontal Experience Strategy
Architect critical cross-product journeys (e.g., Account, Wallet, Rewards) that unify the customer experience across silos.
Own and Govern Taxonomy & Information Architecture
Partner with Content Design, Product Design, and Engineering to establish scalable IA systems and navigational models.
Advance Service Design & System Mapping
Connect frontstage flows to backstage systems and operational logic; drive service blueprinting across the product lifecycle.
Drive CX Improvements
Identify and resolve systemic customer experience issues across surfaces, workflows, and product areas through architectural interventions—not just interface refinements.
Partner with Design Systems
Collaborate to encode architectural logic into reusable components and interaction frameworks, ensuring real behavior is reflected—not just UI consistency.
Transform Experience Delivery
Work with Product Ops and PMO to embed architectural checkpoints into planning, roadmapping, and SDLCprocesses—acceleratingdelivery while protecting experience integrity.
Qualifications
12+ years of experience in experience design, UX architecture, or systems design, with a strong portfolio demonstrating strategic impact.
Proven leadership in structuring complex digital ecosystems and scaling design systems.
Deep expertise in journey mapping, taxonomy design, interaction modeling, and platform strategy.
Exceptional communication and storytelling skills, with the ability to influence across disciplines and levels.
Experience working in large-scale, matrixed organizations with a focus on platform thinking and design maturity.
Preferred Skills
Experience with enterprise platforms, developer tools, or internal design infrastructure.
Familiarity with accessibility standards, localization, and inclusive design practices.
Strategic mindset with a bias for action and a passion for enabling great design at scale.
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $188,000 to $323,950Any general requests for consideration of your skills, please
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Essential Responsibilities:
Expected Qualifications:
What you'll do
Define and drive the design vision for onboarding and compliance platforms at a global scale
Lead, mentor, and inspire multiple design teams, fostering innovation, inclusivity, and design excellence
Partner with executives and cross-functional leaders to align design with business growth and compliance
Collaborate across teams to balance global consistency with user- and region-specific needs
Champion user-centered solutions with executives and senior stakeholders, influencing priorities and trade-offs
Serve on the Platforms & Tools leadership team, shaping strategy and driving alignment across critical initiatives
Pioneer innovative solutions—including AI and automation—for onboarding, verification, and regulatory workflows
What we’re looking for
15+ years in product design, with 5+ years leading design teams at scale
Experience designing global, multi-market platforms in regulated industries
Portfolio showing large-scale transformations with measurable business and customer impact
Executive presence with strong communication and influencing skills across functions and geographies
Expertise in design systems, workflow design, and operational excellence
Passion for financial inclusion and building trusted, accessible, and compliant experiences
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $188,000 to $323,950
Our Benefits:
Any general requests for consideration of your skills, please
These jobs might be a good fit

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Essential Responsibilities:
Expected Qualifications:
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $123,500 to $212,850
Our Benefits:
Any general requests for consideration of your skills, please
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Being the cybersecurity partner of choice, protecting our digital way of life.
Your Impact
AI-Driven Detection & Automation: Lead end-to-end machine learning projects for threat detection. This encompasses defining the model architecture, sourcing and preparing data, building and managing training pipelines, deploying models into production, and monitoring their performance. Design, build, and deploy innovative security solutions leveraging Generative AI and agentic systems. Develop intelligent agents and workflows to automate threat hunting, accelerate malware analysis, and streamline threat intelligence processes.
Research & Publication: Disseminate cutting-edge research findings and contribute to the security community by publishing results in technical blogs, industry white papers, and academic papers, particularly on topics related to malware analysis and AI for security.
Collaboration & Communication: Work closely with cross-functional teams, including other security services: threat prevention, internet security and IoT security, endpoint security to integrate and deliver sustainable and quality coverage and defense.
Your Experience
BS/MS/PhD degree in Computer Science, Cybersecurity, or a related field, or equivalent practical experience.
4+ years of experience in a research or engineering role, demonstrated experience in leading machine learning projects in malware domain or detection systems, including a strong understanding of model development, data preprocessing, and deployment.
Proven experience in the complete software development lifecycle, with proficiency in one or more programming languages (e.g., Python, Go, C++).
Strong experience in reverse engineering, system security, threat research, malware/code analysis or vulnerability research is a big plus
A proven track of top tier publications in cybersecurity related areas is a big plus.
Solid understanding of the threat landscape, including common attack vectors, malware techniques, and threat actor tactics is a plus.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $139,600 - $225,750/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .
All your information will be kept confidential according to EEO guidelines.
These jobs might be a good fit

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As an Sr. Applied Research technical lead at eBay, you will be at the center of how multi-modal intelligence is applied across products. You will not just support AI development, you will lead a team of applied researchers and machine learning engineers to help define how AI driven solutions operate, scale, and deliver value. Your work will directly influence model quality, operational efficiency, and the ways AI enhances user experience across eBay.
Metrics and Reporting:
Define key performance metrics for AI models. Maintain operational excellence standards for data pipelines and models in production
Tools and Technical Fluency
Ph.D. in AI or equivalent research experience. Proficiency in Python and PyTorch for data processing, model training and inference. Expertise in Vision-Language Models and image/video retrieval. Deep understanding of key computer vision techniques for classification, image/video retrieval, 3D modeling, and Image/Video generation. Bonus: experience with frameworks for large-scale multi-GPU training (e.g. PyTorch Lightening, Nemo etc.) and for large scale inference (TensorRT, vLLM )
Two years plus of experience as a tech lead or a manager of science/engineering teams. Comfortable coaching, and enabling team members to deliver high-quality work through clear direction, support, and collaboration.
Quality and Attention to Detail
Detail oriented in how you work with data, models, documentation, and process. Ability to catch inconsistencies early, ensuring standards are consistently met across workflows and deliverables.
The base pay range for this position is expected in the range below:
$210,400 - $280,900These jobs might be a good fit