(Senior) Machine Learning Engineer (m/f/x) (Munich, Berlin, remote)

Company Description

Scalable Capital is a premier digital investment platform in Europe.
Since our inception in 2014, we have pursued the mission of enabling everyone to become an investor. With Scalable Broker, Scalable Wealth, Scalable Crypto, and our solutions for B2B partners, we offer easy and affordable investing for everyone.
Today, Scalable Capital is a FinTech unicorn - we have more than 600,000 customers and over 15 billion Euros on our platform.

Visit our or tune in to our (both in German) to see what our Expert Teams have to say.

Our Company Values guide us daily in our work and collaboration. To learn more about them, you can find our values (English).

Job Description

• Responsible for the end-to-end development cycle (deployment to production) of machine learning projects following best practices in software and cloud engineering
• Design, implement and maintain () existing cloud-based (AWS) systems and tools for building and maintaining machine learning pipelines (CI/CD)
• Collaborate with cross-functional teams including data scientists, data and platform engineers, product and marketing teams to translate business needs into practical and efficient machine learning solutions
• Communicate your approaches, results and findings to stakeholders in a clear and effective way
• Enhance the skills of your data science colleagues and ensure proper knowledge sharing with the ethos what you build as a team, you also run as a team
• Work in an ego-free environment and be part of a motivated, fast-paced, result-driven agile team with highly ambitious and intelligent people in our growing data analytics department
• Stay current with the latest industry developments and technologies

Qualifications

• Excellent programming or software engineering skills in Python and hands-on experience using and implementing ML tools and systems for containerization, orchestration, data processing, and inference pipelines
• Hands-on experience with cloud services in the context of Machine Learning (ideally some experience with AWS Sagemaker), MLOps, and version control
• Familiar with building CI/CD pipelines (i.e., Jenkins, GitHub Actions)
• Experience with Infrastructure as Code (e.g., terraform)
• Excellent communication skills to align with stakeholders and explain your work to other tribe and department members
• Confident in working with modern machine learning libraries such as scikit-learn, pytorch, transformers, langchain
• Excellent knowledge of modern supervised and unsupervised machine learning algorithms
• Strong project and self-management skills to succeed in a remote work environment
• Excellent problem-solving skills with a hands-on mentality and a sense of pragmatism
• Strong commitment to teamwork and resilience in a creative and constantly changing environment
• Sense of humour

Additional Information

• Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that substantially impact our customers' lives
• Work with an international, diverse, inclusive, and ever-expanding team who love creating the best products for our clients
• Enjoy an office in a great location in the heart of Munich or Prenzlauer Berg, one of Berlin's hippest neighbourhoods, or choose to work remotely (if job-eligible)
• Be productive with the latest hardware and tools
• Learn and grow by joining our in-house knowledge sharing sessions and spending your personal Education Budget
• Learn about and experience German culture first-hand by joining our free German language classes
• (International) relocation support
• Enjoy your free time with 30 paid vacation days and take the opportunity to work from abroad
• Benefit from an attractive compensation package and the company pension scheme
• Say goodbye to order commissions and hello to your complimentary subscription to Scalable Capital's PRIME+ Broker