7 Emplois pour Amazon - Luxembourg

Description
Are you a MS or PhD student interested in a 2025 Internship in the field of machine learning, deep learning, speech, robotics, computer vision, optimization, quantum computing, automated reasoning, or formal methods? If so, we want to hear from you!
We are looking for students interested in using a variety of domain expertise to invent, design and implement state-of-the-art solutions for never-before-solved problems.
You can find more information about the Amazon Science community as well as our interview process via the links below;
job responsibilities
As an Applied Science Intern, you will own the design and development of end-to-end systems. You'll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science.
You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon's customer focused culture.
The ideal intern must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems.
A day in the life
At Amazon, you will grow into the high impact, visionary person you know you're ready to be. Every day will be filled with developing new skills and achieving personal growth.
How often can you say that your work changes the world? At Amazon, you'll say it often. Join us and define tomorrow.
Some more benefits of an Amazon Science internship include;
- All of our internships offer a competitive stipend/salary
- Interns are paired with an experienced manager and mentor(s)
- Interns receive invitations to different events such as intern program initiatives or site events
- Interns can build their professional and personal network with other Amazon Scientists
- Interns can potentially publish work at top tier conferences each year
About the team
Applicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews.
Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships.
This role may available across multiple locations in the EMEA region (Austria, Estonia, France, Germany, Ireland, Israel, Italy, Luxembourg, Netherlands, Poland, Romania, Spain, UAE, and UK).
Please note these are not remote internships.
Basic Qualifications
- Experience programming in Java, C++, Python or related language
- Speak, write, and read fluently in English
- Enrolled in a PhD or Master's degree in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or related fields
Preferred Qualifications
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in designing experiments and statistical analysis of results
- Experience implementing algorithms using toolkits and self-developed code
- Experience in solving business problems through machine learning, data mining and statistical algorithms
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
The Amazon Postdoctoral Science Program offers recent PhD graduates an exciting opportunity to gain hands-on industry experience, apply their specialized knowledge, and collaborate with Amazon's leading scientists. This program is designed for researchers who have completed their PhD within the past two years and are eager to bridge academia and industry, driving innovation at scale. "This program provides an excellent and fun opportunity to work on cutting-edge customer-obsessed research and learn from and collaborate with some of the brightest researchers and leading experts at Amazon," said Sareh Nabi, a postdoctoral scientist in Amazon Ads who is participating in a postdoc pilot program. "It also provides a great platform to take the skillset I learned and apply it to a wide range of real-world applications on a large scale." "This is an opportunity for outstanding researchers to work with us on our hardest scientific challenges," said Jeremy Wyatt, senior manager of Amazon Robotics AI. "Amazon postdoctoral scientists will pursue exploratory work on our hardest problems, gaining industry experience and publishing the results in the best scientific venues."
Postdoctoral scientists will contribute to high-impact research initiatives, advance cutting-edge scientific developments, and publish their work in top-tier scientific journals. Participants will benefit from mentorship, access to Amazon's world-class resources, and exposure to real-world challenges with immediate customer impact.
**Focus Areas**
We are seeking candidates with expertise in foundational and applied research, particularly in:
- Large Language Models (LLMs): Experience developing, fine-tuning, and scaling LLMs for diverse applications.
- Graph Databases: Strong understanding of graph theory, data modeling, and implementation of graph database technologies in complex systems.
- Mathematical Optimization: Good understanding of mathematical optimization, including mixed-integer optimization, combinatorial optimization, and robust optimization.
**Basic Qualifications**
- PhD in a relevant field (e.g., Computer Science, Operations Research, Mathematics, Statistics) received within 2 years of program start date.
- Proven publication record in areas such as LLM, NLP, Generative AI, Graph Database, or other relevant domains.
- Hands-on experience with technologies related to large language models, graph databases, and mathematical optimization.
Preferred qualifications
Postdocs demonstrate the following preferred job qualifications:
- Ability to independently deliver results in a fast-paced environment
- Publications at top-tier, peer-reviewed conferences and/or journals such as NurIPS, ICML, ICLR, CIKM, ICDE
- Exceptional verbal and written communication skills - Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies
Required application materials:
- CV, which lists all peer-reviewed publications and conferences
- Research statement that outlines your research achievements and future research interests, and
- A journal article or book chapter that demonstrates your domain expertise
Basic Qualifications
- PhD in a relevant field (e.g., Computer Science, Operations Research, Mathematics, Statistics) received within 2 years of program start date.
- Proven publication record in areas such as LLM, NLP, Generative AI, Graph Database, or other relevant domains.
- Hands-on experience with technologies related to large language models, graph databases, and mathematical optimization.
- Experience in data science and quantitative research
- Proficiency in technologies relevant to the subfield
Preferred Qualifications
Postdocs demonstrate the following preferred job qualifications:
- Ability to independently deliver results in a fast-paced environment
- Publications at top-tier, peer-reviewed conferences and/or journals such as NurIPS, ICML, ICLR, CIKM, ICDE
- Exceptional verbal and written communication skills - Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description
Have you ever ordered a product from Amazon and been amazed at how fast you receive it? Every day, Amazon engineers are relentlessly working to decrease the time between clicking and delivery for our customers. The Amazon Fulfillment Technologies (AFT) organization owns all of the software and infrastructure that powers Amazon's world-class fulfillment centers, including the fundamental data and services that drive our catalog and inventory systems. AFT builds and operates the software, hardware, and processes that run the global network of fulfillment centers. These systems underlie everything we do - tens of millions of items in the catalog, hundreds of millions of items of inventory, and billions of transactions each year!
AFT is at the forefront of combining HCD, technology, process optimizations, workflow models, sensors etc. to solve complex operational and fulfillment problems. With rapid expansion into new geographies, innovations in supply chain, delivery models and customer experience, increasingly complex transportation network, ever expanding selection of products and growing number of shipments worldwide, we have an opportunity to build software that scales the business, leads the industry through innovation and delights millions of customers worldwide. We leverage cutting edge technologies in big data, optimization techniques, machine learning, real time analytics and high volume, low latency, high availability services.
The primary responsibility of the Principal Product Manager - Technical role is to own and drive multiple areas of the product. As a Principal Product Manager, you achieve this by defining the product strategy, roadmap and adoption for a core set of capabilities. You also work with stakeholders to achieve the best outcomes for customer experience, adoption, and operational excellence. This role interacts with and influences senior leadership within Stores and emerging businesses. To be successful in this role, you should have meaningful product management experience leading products or business units and a technical background. Lastly, you should be driven by data, be able to communicate crisply in writing and verbally to customers, across organizations, and up to senior leadership.
Key job responsibilities
We're looking for a PMT that's passionate about solving customer problems and has demonstrated
success in turning ambiguous customer needs into successful products. Candidates will be comfortable
working closely with and across agile teams. This is a high visibility, high impact role that will interact
with all levels of AFT leadership. The right person is naturally customer centric and thrives in a fast-
paced environment that requires strong technical and business judgment and solid communication
skills. This role is for someone with a proven ability to execute both strategically and tactically.
Our mission is to innovate and build scalable and robust software solutions that deliver a great customer experience. These software solutions will directly impact Amazon's customers from product selection and order placement, to delivering products to our customers as quickly and cost effectively as possible.
What you'll do?
Own the lifecycle of a product/feature
Voice of the product's customer and are accountable for the customer's experience.
Own the product roadmap, vision, and tenets
Manage the business of the product (e.g., branding/placement, economic modeling, pricing, forecast analysis, promotions, marketing, driving segment adoption, PR, training sales, etc.), and reporting (e.g., KPIs, adoption, other measures of success)
Basic Qualifications
- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience technical product management
- Experience in technical product management, program management or engineering
- Experience leading engineering discussions around technology decisions and strategy related to a product
- Experience with end to end product delivery
Preferred Qualifications
- Experience working directly with Engineers on product enhancements
- Experience in project management methodologies, business analysis, or process improvement
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Berlitz is a global leadership training and education company with a comprehensive portfolio for building communications skills development, global leadership training and customized dynamic solutions for cultural competency, available via multiple delivery platforms.

Contact:
Monsieur Patrick Depiesse
Address:
89-93, Grand-Rue L-1661, Luxembourg
Website:

Customer Service Representative (m/f)

SUMMARY OF POSITION

Assure maximum satisfaction of our internal and external customers by managing their expectations to achieve the objective of creating long-staying, loyal customers. Handle day-to-day Learning Centers operations and perform administrative functions. Support retention and acquisition sales functions.

CORE RESPONSABILITIES

• Ensuring delivery by organizing the scheduling of lessons in the lesson planning system
• Provide customer support handling customer schedules, and cancellations
• Manage instructors availabilities in the planning system and communicate them their schedules
• Boosting and follow-up of lessons to ensure timely delivery
• Actively contribute to improve processes and strategic scheduling
• Handle incoming customer inquiries, calls and client conversations
• Maintain positive customer relations and ensure customer satisfaction
• Ensure optimal Language Center appearance
• External and internal customer service
• Enter and manage customer information in CRM systems and work with other colleagues from Customer Service BENELUX
• Order course materials and oversee the material inventory
• Support the Learning Cycle, related reports, and certificates
• Prepare for instructor payroll and monthly closing
• Support the sales team and the school director
• Carry out additional responsibilities to support the Language Center as assigned by local management
• Fluency in French (C1-C2) and English (C1-C2) is mandatory.
• Any additional languages such as German and /or Luxembourgish is an asset
  

Please send your application in French or English to Mr. Patrick Depiesse via jobs.lu

APCT1_LU

Description
Are you passionate about shaping the future of HR at Amazon? Join CS PXT as a Principal, HR Specialist for Strategy & Transformation, pioneering initiatives that will revolutionize how we deliver HR services at scale. This highly visible role combines strategic leadership with hands-on execution, offering the opportunity to pioneer AI integration in HR while leading cross-organizational transformation efforts.
As a key leader on the CS PXT Transformation team, you'll shape how PXT supports Customer Service employees globally. This role offers unique exposure to senior leadership and the chance to build scalable solutions that could become blueprints for Amazon's future HR operating model.
Key job responsibilities
Responsibilities may include, but are not limited to:
- Drive future-state HR strategy development and transformation initiatives across CS PXT
- Lead strategic planning and documentation for major organizational changes
- Spearhead AI/ML integration and innovation across HR service delivery
- Design and implement scaling strategies for potential program expansion to other organizations
- Own executive-level communications and strategic narratives
- Build frameworks for cross-organizational partnerships and program expansion
- Drive HR role evolution through innovative service delivery models
- Manage complex, multi-stakeholder projects with significant organizational impact
- Partner with tech teams to identify and implement automation opportunities
- Develop change management strategies for large-scale initiatives
A day in the life
This role sits at the intersection of strategy, innovation, and execution. As a key thought partner to the CS PXT Transformation leader, you'll help shape and drive our organizational vision. Your day might include partnering with tech teams on AI experiments, crafting strategic narratives, and designing frameworks for scaling successful innovations across Amazon.
You'll regularly:
- Act as strategic advisor on organizational direction and future-state planning
- Drive rapid experimentation with AI and emerging technologies in HR
- Craft compelling narratives for senior leadership communications
- Lead multiple high-impact transformation initiatives simultaneously
- Build frameworks to scale successful innovations beyond CS PXT
- Navigate complex stakeholder relationships across functions and levels
About the team
The CS PXT Transformation team is pioneering the future of HR at Amazon, leading strategic initiatives that are reshaping how we support Customer Service's employees globally. We're driving innovative solutions in AI integration, process optimization, and HR service delivery while setting new standards for operational excellence. Our team combines strategic thinking with hands-on execution, offering unique opportunities to shape Amazon's HR evolution. If you're energized by complex challenges, passionate about innovation, and ready to influence the future of HR at scale, join us in transforming how Amazon delivers HR services.
Basic Qualifications
- Bachelor's Degree
- HR Generalist or strategic planning experience
- Experience leading complex, cross-functional programs
- Track record of data-driven decision making and metrics-based improvements
- Demonstrated experience owning program strategy, end-to-end delivery, and executive-level communications
- Experience managing multiple stakeholders across organizational levels
- Ability to navigate ambiguous, complex environments
- Able to execute multiple priorities under tight deadlines
- Amazon writing experience and demonstrated storytelling ability
Preferred Qualifications
- Experience leading strategic transformation initiatives or large-scale process improvements
- Strong analytical skills with proven ability to drive data-based decision making
- Track record of scaling programs or processes across organizations
- Experience with AI/ML implementation or technology transformation projects
- Background in strategy consulting or internal strategy roles
- Strong understanding of modern HR practices and emerging trends
- Experience building frameworks and strategic documentation
- Proven ability to influence and align senior stakeholders without direct authority
- Change management experience in large organizations
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.