Internship Machine Learning (m/f/x)

Company Description

Scalable Capital is a leading digital investment platform in Europe. The company empowers everyone to shape their financial future. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs and other exchange-traded products and set up savings plans. Scalable Wealth, the digital wealth management service, offers clients professional investment in ETF portfolios and is also adopted as a white-label solution by renowned B2B partners. With the European Investor Exchange (EIX) Scalable Capital offers a stock exchange for retail investors in Europe. Over 20 billion euro is held on the platform by more than one million clients.

Scalable Capital was founded in 2014 and employs more than 500 people at its offices in Munich, Berlin, Vienna, and London. Together with the founding and management team around Erik Podzuweit and Florian Prucker, they are working on a new generation of financial services.

Visit our finance blog or check out our Social Media channels to find out what our Expert Teams have to say.

Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English).

Job Description

• Enhance our ML/LLMOps toolset and infrastructure for model testing and deployment within an AWS environment.
• Contribute to the development, improvement, and automation of our machine learning and data pipelines
• Gain experience in industry critical infrastructure technologies and apply them productively
• Evaluate and implement different LLM approaches, 3rd party APIs, and LLM agents
• Document your findings in our internal knowledge base

Qualifications

• Excellent academic background in a quantitative discipline (statistics, machine learning, data science, financial mathematics, computational finance, engineering, physics or a similar field)
• First experiences with Cloud Infrastructure (AWS)
• Hands on experience  in Python and preferably at least one other programming language (e.g. Typescript)
• Fundamental knowledge in state-of-the-art LLM frameworks, RAG and vector databases (e.g. LangChain, LangGraph, Haystack, OpenSearch)
• First hands-on experience with in-context-learning, few-shot-learning and creating LLM-powered applications (e.g. Chatbots, information retrieval, document summarization)
• Experience with ML packages in Python (e.g., pandas, numpy, scikit-learn, statsmodels)
• Experience with end to end ML projects
• Curiosity and enthusiasm to learn new technologies
• Result-oriented and pragmatic way of working
• Fluency in English (written & spoken)
• Please also provide us with your latest transcript of records and if applicable your work references

Nice to have:

• Experience with Infrastructure as Code (IaC) like terraform is a plus
• Experience with CI/CD frameworks (e.g. Jenkins,  Gitlab CI/CD) is a plus

Additional Information

• Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers
• The ability to work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients
• Enjoy an office in the heart of Munich, located in a lively neighborhood and close to the English garden 
• All internships are worth the same with us: we also remunerate mandatory internships 
• Learn and grow by joining our in-house knowledge sharing sessions
• Work productively with the latest hardware and tools
• Free subscription to the PRIME+ Broker