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What you will accomplish:
What you will bring:
Qualification Preferences:
The base pay range for this position is expected in the range below:
$108,400 - $186,400These jobs might be a good fit

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What you will accomplish:
Lead and grow a team of Android engineers, attracting top talent and nurturing their development through coaching and mentorship
Deliver high-quality, innovative mobile experiences for millions of daily active users, setting new industry standards for performance and usability
Foster collaboration across multi-functional and global teams, improving workflows and accelerating product delivery
Drive continuous improvement in development processes, advocating for standard methodologies in code quality, technical architecture, and team culture
Champion agile methodologies and data-driven decision making, ensuring successful feature launches and impactful product releases
Mentor engineers in advanced Android development, supporting each team member’s learning journey and helping develop future technical leaders
What you will bring:
Prefer 12+ years’ experience designing, building, and releasing native Android applications using Kotlin and established architecture patterns
Proven leadership in managing and developing high-performing engineering teams
Expertise in Android frameworks and tools, including Jetpack Compose, MVVM, Dagger, and integration with backend APIs (REST/GraphQL)
Strong advocacy for automated testing, continuous delivery, and software quality across the development lifecycle
Excellent communication, documentation, and remote collaboration skills for success across dispersed team environments
Experience working on consumer-facing products, driving customer-centric solutions and delivering measurable business impact
The base pay range for this position is expected in the range below:
$152,400 - $247,800These jobs might be a good fit

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Subject Matter Expertise
Serve as the subject matter expert on authentication training for the Handbags & Accessories or Apparel categories.
Ensure training content reflects current authentication methodologies, brand updates, and counterfeit trends.
Support continuous education for staff through workshops, refresher courses, and global knowledge-sharing initiatives.
Training Development & Delivery
Design, implement, and continuously refine authentication training programs tailored to handbags, accessories, and apparel categories.
Partner with the Instructional Design team to develop detailed training materials, including e-learning modules, visual reference guides, hands-on exercises, and assessments.
Partner with authentication experts to ensure accuracy and relevance of training content.
Team Leadership & Coaching
Lead, mentor, and develop a growing team of global Authentication Trainers.
Set clear performance goals, provide regular coaching and feedback, and foster a culture of excellence and accountability.
Communicate professionally with employees, leadership and business partners.
Take proactive steps to ensure that best practices are followed and champion eBay DNA principles.
Operational Support
Collaborate closely with Quality Assurance, Operations, and Product teams to align training content with evolving tools and standards.
Use data and feedback loops to assess training effectiveness and implement continuous improvements.
Tracking & Reporting
Manage training calendars, onboarding pipelines, and scheduling across multiple sites or time zones.
Maintain accurate training records and certifications within the LMS or tracking system.
Report on training completion rates, skills assessments, and performance trends.
Additional Responsibilities
Requires up to 50-75% travel annually (domestic and international).
Bachelor’s degree in Fashion Merchandising, Design, Education, or a related field (or equivalent experience).
6+ years of experience in authentication or brand quality roles, with at least 2+ years in a leadership or training capacity.
Deep category knowledge of luxury and designer brands (e.g., Louis Vuitton, Chanel, Gucci, Hermès, Prada, etc.).
Excellent communication and interpersonal skills.
Strong analytical skills and a proven ability to work independently and influence others.
Champion for diversity, equity and belonging.
Familiarity with Workday Learning Management Systems (LMS).
The base pay range for this position is expected in the range below:
$70,000 - $120,700These 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

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The Impact You’ll Make in this Role
As a
Lead Design Operations Project Manager , you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world. Here, you will make an impact by:
Your Skills and Expertise
To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:
Additional qualifications that could help you succeed even further in this role include:
Work location:
Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
Please access the linked document by clicking select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms.
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What you’ll be doing:
Act as a technical advisor, collaborating with partner engineering teams on architecture, integration, and code for Isaac Sim, Isaac Lab, and AI-enabled robotics solutions.
Build and maintain deep expertise in NVIDIA robotics SDKs, with a focus on simulation and robot learning.
Track emerging trends in the robotics ecosystem to identify new opportunities.
Co-design and deliver advanced robotic solutions with partners—defining objectives, architecture, milestones, and implementation plans.
Create technical enablement resources such as sample code, reference architectures, integration guides, and workshops.
Work closely with partner engineering leaders and decision-makers to identify challenges, recommend solutions, and drive adoption of NVIDIA robotic technology.
Represent partner needs internally, providing feedback to NVIDIA’s product and engineering teams to influence future roadmaps.
Support product launches and go-to-market activities with technical validation, demos, and customer-facing materials.
What we need to see:
10+ years in the technology industry, with at least 5 years in hands-on software development or engineering.
Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field—or equivalent experience.
Whole software development lifecycle experience—from requirements and design to testing, integration, and support.
Technical background in at least one of: robot foundation models, simulation, synthetic data, robot perception, reinforcement learning, or imitation learning.
Expertise with robotics simulation tools (e.g., Gazebo, MuJoCo, Isaac Sim, Robot Studio).
Experience leading technical workshops, code reviews, and architectural design sessions.
Strong communication skills for technical and executive audiences.
Ability to structure and deliver complex technical engagements.
Ways to stand out from the crowd:
Experience with NVIDIA tools and libraries (CUDA-X, Isaac Sim, OpenUSD, Cosmos).
Recent hands-on experience with robot simulation tools.
Knowledge of AIOps, cloud-native technologies, Kubernetes, Docker, and monitoring tools.
Proven success growing developer ecosystems through technical enablement.
You will also be eligible for equity and .
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What you'll be doing:
Designing and building user-centric solutions using React, JavaScript, and associated platforms and tools.
Building wireframes that clearly define page layout, structure, and user flow to ensure transparency and support user-centered design principles.
Integrating front-end applications with Python-based and other back-end services for seamless functionality.
Collaborating with multi-functional teams to develop, refine, and launch new product features.
Staying ahead of evolving technologies, tools, and methods in front-end development to drive continuous improvement.
What we need to see:
BS, MS, or equivalent experience in Computer Science, with 5+ years of front-end development experience.
Expert-level proficiency in React, JavaScript (ES6+), HTML5, and CSS3.
Strong design sense with experience building visually appealing, responsive layouts.
Experience integrating APIs and working with Python-based back-end systems.
Familiarity with version control (Git), CI/CD pipelines, and agile development practices.
Superb communication and collaboration abilities.
Ways to Standout from the crowd:
Experience leading front-end architecture or developing systems across large-scale projects.
Advanced skills with TypeScript, Next.js, or similar frameworks.
Experience using AI tools (e.g., Cursor, Copilot) in automation development.
Hands-on experience with hardware validation and data analysis, contributing to higher quality and more reliable solutions.
You will also be eligible for equity and .
These jobs might be a good fit

What you will accomplish:
What you will bring:
Qualification Preferences:
The base pay range for this position is expected in the range below:
$108,400 - $186,400These jobs might be a good fit