Research Scientist jobs in Germany
Ebay Applied Research Manager d/f/m Germany, Brandenburg
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As an Applied Research Manager, you lead scientists and engineers, guiding major projects. This role is a unique blend of technical leadership and people management, perfect for a seasoned researcher who excels at both.
Manage a group of researchers and technologists, aligning the team's work with product initiatives and encouraging the professional development of your team members.
Take on vague and ambitious business problems, translating them into principled, solvable research plans and driving them from idea to production.
Serve as the technical project lead for critical initiatives, collaborating with product managers and engineers to build robust data pipelines and scalable algorithmic systems.
Mentor junior researchers and engineers, setting the bar for technical excellence and helping to establish and improve scientific processes across the organization.
Act as a key technical voice in discussions across teams, influencing technical direction and contributing to the broader org and company strategy.
An experienced and strong practitioner of machine learning with deep industrial experience in one or more of the following: classification, regression, recommendation systems, ranking systems, online advertising, or fraud detection.
Proven track record to lead complex projects, reduce ambiguity, and make critical technical decisions that balance short-term needs and long-term vision.
Experience designing and operating big data processing pipelines using technologies like Hadoop, Spark, Hive, or SQL.
Strong programming skills and experience building large-scale backend systems using languages such as Python, R, Java, Scala, or C++.
Excellent communication, collaboration, and mentoring skills, with a track record of influencing others and driving consensus.
PhD in Computer Science, Statistics, or a related field with 4-8 years of industry experience, OR a Master's degree with 8-11 years of industry experience.
A history of publishing in top-tier academic conferences is a strong plus.
These jobs might be a good fit
3M Senior Research Product Development Engineer RD – Electrical... Germany, North Rhine-Westphalia, Neuss
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The Impact You’ll Make in this Role
Here, you will make an impact by:
- Developing medium and high voltage cable accessories, including connectors, terminations, and joints for global markets
- Collaborating with global cross-functional teams, including manufacturing, portfolio management, quality department, and project management
- Contributing to technology scouting and product roadmaps
- Leading product development projects from building business case till commercialization
- Direct interaction with end-customers to drive innovation and solve markets challenges
- Ensuring proper product lifecycle documentation including test reporting and failure analysis
- Contributing to the continuous improvement of design processes and methodologies.
- Building a network in the company and actively distributing your knowledge and expertise
Your Skills and Expertise
To set you up for success in this role from day one, 3M is looking for candidates who meet following minimum requirements:
- Master’s degree in Electrical, Energy Engineering, Power Systems, or related field
- Substantial experience in energy industry
- Experience of designing and testing of electrical insulation and electrical connections
- Experience in product development for electrical energy and high voltage testing
- Strong knowledge of high or medium voltage electrical systems, insulation materials, and manufacturing processes
- Fluent German and English
Additional qualifications that could help you succeed even further in this role include:
- Proficiency in industry standards and regulations, with experience in global high voltage projects
- Excellent problem-solving skills, attention to detail, and familiarity with advanced testing methodologies
- Strong communication skills, with the ability to present technical information clearly
- Ability to work independently and collaboratively in international teams
- Enthusiasm for learning, prototyping, and engaging with standardization organizations.
Job specifics:
- Location: Neuss, Germany
- Based on site
- Full Time
- Travel: may include up to 15%
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.
Google Staff Data Scientist AI Intelligence Germany, Hesse, Frankfurt
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- Bachelor's degree in a technical field or equivalent practical experience.
- 8 years of experience as a Facilities Manager, Chief Engineer or Operations Manager in a Mission Critical Environment.
- 2 years of experience in site-level data center or mission critical installation management.
- Experience managing a mission critical facilities portfolio.
Preferred qualifications:
- Experience collaborating with cross-functional business units to meet company goals and standards.
- Experience overseeing a large-scale portfolio of mission-critical facilities or operations.
Amazon Postdoctoral Scientist AR R&D Engineering Germany, Berlin
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Key job responsibilities
In this role you will:
• Publish your innovation in top-tier academic venues and hone your presentation skills.
• Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.
* PhD in a relevant field, received within 2 years of starting the program
* Proven publication record in computer vision, robotics or other related technical fields #
* Experience in item perception and manipulation
* Proficiency in technologies relevant to the subfield
Preferred Qualifications
• Ability to independently deliver results in a fast-paced environment
• Publications at top-tier, peer-reviewed conferences and/or journals
• Exceptional verbal and written communication skills
• Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies
Amazon Senior Applied Scientist ProServe Generative AI Innovation C... Germany, Berlin, Berlin
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As an applied scientist, you are proficient in designing and developing advanced ML models to solve diverse challenges and opportunities. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for ML Applied Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.Key job responsibilities
As a Senior ML Applied Scientist, you will* Collaborate with ML scientists and architects to research, design, develop, and evaluate state-of-the-art generative AI algorithms to address real-world challenges across industries* Create and deliver best practice recommendations, scientific artifacts, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders* Effectively communicate complex ML results and insights to diverse audiences, translating technical concepts for non-technical stakeholders while providing appropriate depth for technical audiences in both public-facing publications and internal knowledge sharing sessions
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
* PhD degree in CS, CE and several years (or MSc and 7+ years) of experience in building machine learning models for business applications
* Experience with neural deep learning methods and machine learning
* Hands on experience building models with deep learning frameworks like PyTorch, Tensorflow, or MxNet
* Strong communication skills, with attention to detail and ability to convey rigorous technical concepts and considerations to technical and non-technical audiences
* Fluency in written and spoken English
Preferred Qualifications
* Proven knowledge of Generative AI and hands-on experience of building applications with large foundation models
* Proven knowledge of AWS platform and tools
* Hands-on experience of building ML solutions on AWS
* Experience in professional software development
* Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
Amazon Data Scientist FTC Amazon Music Machine Learning/Personaliza... Germany, Berlin
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Please note this is a fixed term contract until July 2026Key job responsibilities
- Create Innovative ML Solutions for Customized Musical Joy. Through A/B testing and online experiments done hand-in-hand with engineering teams, you'll implement and validate your ideas and solutions.
A day in the life
Basic Qualifications
- Experience programming or scripting language like Python, Java, C or C++
- Experience in building models for business application
- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
Nvidia PhD Research Intern Autonomous Vehicles - Germany, North Rhine-Westphalia
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- Germany, Munich
- Switzerland, Zurich
- time type
- Full time
- posted on
- Posted 2 Days Ago
- job requisition id
What you'll be doing:
Designing and implementing cutting-edge techniques in the field of vehicle autonomy.
Publishing your original research.
Collaborating with other research team members, a diverse set of internal product teams, and external researchers.
Transferring technology you've developed to relevant product groups.
What we need to see:
Pursuing a PhD in Robotics, Computer Science, Computer Engineering or related field.
Relevant research experience in the field of vehicle / robot autonomy.
Strong knowledge of theory and practice of vehicle / robot autonomy, or a related area with a strong interest in connecting your work to autonomous vehicles.
A track record of research excellence with your work published in top conferences and journals such as RSS, ICRA, IJRR, NeurIPS, ICML, CVPR, TAC, etc, and other research artifacts such as software projects.
Exceptional programming skills in Python; C++ and parallel programming (e.g., CUDA) are a plus.
Knowledge of common machine learning frameworks such as PyTorch and Tensorflow.
Strong communication and interpersonal skills are required along with the ability to work in a dynamic, research-focused team.
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As an Applied Research Manager, you lead scientists and engineers, guiding major projects. This role is a unique blend of technical leadership and people management, perfect for a seasoned researcher who excels at both.
Manage a group of researchers and technologists, aligning the team's work with product initiatives and encouraging the professional development of your team members.
Take on vague and ambitious business problems, translating them into principled, solvable research plans and driving them from idea to production.
Serve as the technical project lead for critical initiatives, collaborating with product managers and engineers to build robust data pipelines and scalable algorithmic systems.
Mentor junior researchers and engineers, setting the bar for technical excellence and helping to establish and improve scientific processes across the organization.
Act as a key technical voice in discussions across teams, influencing technical direction and contributing to the broader org and company strategy.
An experienced and strong practitioner of machine learning with deep industrial experience in one or more of the following: classification, regression, recommendation systems, ranking systems, online advertising, or fraud detection.
Proven track record to lead complex projects, reduce ambiguity, and make critical technical decisions that balance short-term needs and long-term vision.
Experience designing and operating big data processing pipelines using technologies like Hadoop, Spark, Hive, or SQL.
Strong programming skills and experience building large-scale backend systems using languages such as Python, R, Java, Scala, or C++.
Excellent communication, collaboration, and mentoring skills, with a track record of influencing others and driving consensus.
PhD in Computer Science, Statistics, or a related field with 4-8 years of industry experience, OR a Master's degree with 8-11 years of industry experience.
A history of publishing in top-tier academic conferences is a strong plus.
These jobs might be a good fit
