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

Company Description

Scalable Capital is a leading digital investment platform in Europe. Since our inception in 2014, our mission is to empower everyone to become an investor. Using our Scalable Broker, Scalable Wealth, Scalable Crypto, and our B2B partner solutions, we offer affordable and simple investing for all. Today, we are a FinTech unicorn, boasting more than 600,000 customers and managing over 15 billion Euros on our platform. Visit our or tune into our (both in German) to discover our Expert Teams' insights. Our Company Values inform our everyday operations and collaborations. To learn more about these, you can find our values (in English).

Job Description

• Accountable for the end-to-end development cycle (deployment to production) of machine learning projects, following best practices from software and cloud engineering
• Design and implement, as well as enhance and maintain, existing cloud-based (AWS) systems and tools for building and sustaining machine learning pipelines (CI/CD)
• Cooperate with cross-functional teams, including data scientists, data and platform engineers, product and marketing teams, to convert business needs into efficient and effective machine learning solutions
• Clearly and effectively communicate your strategies, results, and findings to stakeholders
• Upgrade your data science colleagues' skills and promote thorough knowledge sharing under the premise that what you build as a team, you also run as a team
• Work in an ego-free setting, being part of a motivated, fast-paced, results-oriented agile team with ambitious and intelligent individuals in our growing data analytics department
• Stay updated with the latest industry developments and technologies

Qualifications

• Adept programming or software engineering skills in Python and practical experience with using and implementing ML tools and systems for containerization, orchestration, data processing, and inference pipelines
• Hands-on experience with cloud services related to Machine Learning (ideally previous exposure to AWS Sagemaker), MLOps, and version control
• Experience 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
• Comfortable 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, suitable for a remote working environment
• Excellent problem-solving skills with a pragmatic and hands-on mentality
• Strong commitment to teamwork and resilience in a creative and rapidly changing environment
• Sense of humor

Additional Information

• Work for one of the fastest-growing and most visible Fintech start-ups in Europe, creating innovative services that significantly influence our customers' lives
• Work with an international, diverse, inclusive, and constantly expanding team devoted to creating the best products for our clients
• Enjoy a workspace situated in a prime location in the heart of Munich or Prenzlauer Berg - one of Berlin’s trendiest neighborhoods - or opt to work remotely (subject to job eligibility)
• Be productive with cutting-edge hardware and tools
• Learn and grow by participating in our in-house knowledge sharing sessions and utilizing your individual Education Budget
• Immerse yourself in German culture firsthand through our complimentary German language classes
• (International) relocation support
• Enjoy 30 days of paid leave and use the opportunity to work from abroad
• Benefit from an attractive compensation package and company pension scheme
• Eliminate transaction fees with your free subscription to Scalable Capital's PRIME+ Broker