Change the way the world travels Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and simulation.
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
Bridge the gap: Develop and maintain the hardware abstraction layers that allow our higher-level autonomy modules to interact seamlessly with the physical robot.
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Taktile empowers financial institutions to transform into truly AI-native organizations.
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
is hands-on and code-heavy — you will work inside the same monorepo as the research team, mostly in Python, and should be as comfortable ref
is focused on our paid search channel where black-box auction dynamics, branded vs non-branded incrementality, and elasticity modelling defi
Lead R&D efforts to prototype a new robotic manipulator, conducting rigorous testing to validate design specifications and performance criteria.
adjoe builds the technologies behind mobile apps growth and monetization.
At ARX Robotics, you will help advance the perception capabilities of next-generation unmanned ground vehicles.
Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvem
adjoe builds the technologies behind mobile apps growth and monetization.
Overview We are looking for experienced Machine Learning and AI Experts to help train and evaluate advanced AI models.
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Huawei s Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strateg
About the Job As a key growth accelerator, A11 partners with Europe’s most ambitious startups and scaleups, corporates and SMBs to connect t
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Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search - Develop algorith
At Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making.
This role is foundational data science: building the foundations of tabular foundation models so a single model can solve data-science problems across the board.
What we build Most companies find out about supplier insolvencies, cyber attacks, factory fires or floods that affect their supply chain whe
Data Scientist DEPT®/AI has a single mission: to make the best work in the industry using AI to enhance everything we do.
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
And more… How to apply Submit your CV/resume in English using the form below. For tips and insights into our hiring process and culture, check out ‘how we hire’ and ‘life at GetYourGuide’. If you have any further questions, please don’t hesitate to get in touch at.
We’re an equal opportunities employer Our commitment is that every qualified person will be evaluated according to their skills regardless of age, gender identity, ethnicity, sexual orientation, disability status, or religion. Please refrain from including your picture and age with your application. #LI-Hybrid
Change the way the world travels Join the GetYourGuide journey to connect people with unforgettable travel experiences around the world. Millions look to us for unique activities they can trust, and it’s all powered by our commitment to make every single journey extraordinary - including yours! Ready to unlock your potential with a community of fellow explorers?
Find your next role at our Berlin HQ or one of our local offices around the globe, from New York to Bangkok. Head to getyourguide.careers to take the first step. Team mission Growth Data Products (GDP) drives GetYourGuide s growth engine by transforming raw marketing data into reliable, self-service insights and automated decision systems.
Our work spans every growth channel—Paid and Organic Search, Display Advertising, CRM and Lifecycle Marketing, Brand Marketing, Marketing Attribution, Experimentation, and Customer Lifetime Value measurement. We empower teams across the organization to make faster, smarter decisions at scale, turning data into actionable intelligence that fuels our mission to connect millions with unforgettable travel experiences. Your mission - Define, develop, and fully own data products that drive measurable revenue impact across all GDP domains. - Translate growth strategies into technical roadmaps, aligning multiple squads and stakeholders around clear, measurable business outcomes. - Design, deploy, and monitor production machine learning pipelines in Python and Databricks to support bidding, targeting, and personalization use cases. - Raise the technical standard by introducing best practices, code quality standards, and robust observability within the data science and engineering teams. - Champion a culture of experimentation through A/B test design, causal-inference analysis, and frameworks for rapid iteration. - Advance customer lifetime value and attribution models that guide multi-million euro marketing investments. - Drive cross-functional collaboration to ensure data products deliver tangible business value and strategic impact.
Your toolkit - Proven track record as a Staff or Principal Data Scientist (or equivalent) delivering cross-functional products that deliver significant business value. - Market and growth experience is essential, with strong domain knowledge in marketing analytics, customer acquisition, or revenue optimization. - Mastery of Python, SQL, and modern big-data tools such as Spark and Databricks, with comfort in shipping production-grade machine learning services. - Deep expertise in statistical testing, causal inference, and online experimentation frameworks. - Hands-on experience in marketing growth areas like paid search, CRM, or attribution modeling. - Advanced degree in a quantitative field (such as Statistics, Computer Science, Mathematics, Economics, or Physics) or equivalent practical experience. - Strong communication skills that enable you to influence both technical and non-technical audiences across the organization. Extras that give you an edge - Experience with cloud orchestration and CI/CD technologies such as AWS, Airflow, or Kubernetes. - Familiarity with Snowflake, MLflow, or large-scale feature-store architectures. - Experience with deploying LLMs in production systems. - A record of mentoring senior individual contributors and fostering a culture of psychological safety across teams. - Publications or conference presentations on topics like large language models, agentic AI systems, or marketing technology innovation. How we’ll make your career journey extraordinary - Annual personal growth budget and mentorship programs for continuous learning and development - Work from anywhere in the world for 30 days per year - A hybrid working approach with three days of in-office collaboration (Mon, Tue, Thur) and two days of optional at-home focus time. - Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events - Monthly transportation and fitness budget - Discounts for you, your friends, and family on GetYourGuide activities - Language reimbursement program - Health and wellness
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.