Job Description
Change the way the world travels
Be part of the GetYourGuide journey and connect people with unforgettable travel experiences worldwide. Since 2009, millions of travelers have booked unique activities with us in over 12,000 cities. Our headquarters in Berlin is supported by 16 other local offices across the globe.
Ready to join a diverse community of over 850 fellow explorers dedicated to revolutionizing the travel experience industry? Check out our careers site to learn more.
Team mission
Since 2020, GetYourGuide has established a Machine Learning (ML) Platform team, providing the tools and best practices to help the Data Products team build and maintain production-ready ML/AI systems. The team’s mission is to enable our diverse teams and ML/AI use-cases via self-service tools and automation. More recently the team was renamed as AI Platform Team as a way to better reflect our ambition to become an AI-first organization.
As a Senior MLOps Engineer, you’ll join our AI Platform Team and have a chance to make an enormous impact across all of our data products. You’ll work closely with our Data Products teams to build systems that enable ML/AI algorithms to go to production. If you are interested in contributing to the success of a product that is used by millions of travelers around the world then keep on reading.
Your mission:
- You’ll design and implement systems and tools for scalable and more efficient machine learning solutions.
- You will work to increase the amount of data products in production reliably, reduce the time to production, and reduce operational costs.
- You’ll be partnering/collaborating with product teams to bring advanced algorithms into production, following MLOps best practices.
Your toolkit:
- Software Engineering: You have strong fundamentals in Computer Science and a polyglot mindset. Python is your language of choice; you are able to migrate between various programming languages though. Delivering clean code and investigating new tools, languages, and practices is your passion.
- Data Engineering: previous experience in organizing and querying data at scale data warehouses, tools like Spark are not novelty for you
- Data Science & MLOps: Data Scientists are close stakeholders for you. You share a genuine interest in Artificial Intelligence and Machine Learning and are proficient in applying MLOps best practices as scale.
- Business Experience: You possess the ability to prioritize and manage stakeholders; they know you for your good communication and collaboration skills.
- Vision: Your ideas turn into reliable and maintainable code. A track record of outcome-driven work gives evidence of this. You are experienced in operating at scale; you have a cloud DevOps / infrastructure mindset.
- Autonomy: Your mindset can be described as autonomous, proactive and customer-oriented. You own your projects.
- Teamwork: You strongly believe that a team is more than the sum of its members. Mentoring and sharing knowledge are fulfilling activities for you.
Extras that give you an edge:
- Prior experience in scale-up environments with various technologies
- Interest in LLMs and the new challenges of Generative AI
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 benefits
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 [email protected].
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.
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