Working Student Machine Learning - Focus Sustainability
Remote (Deutschland), Münster
Part-time
Intern / Student
15 € per hour
YOUR ENVIRONMENT AND TEAM
Are you passionate about Machine Learning, software engineering, and applying AI to sustainable use cases? Then join our Sustainability Management Platform team and help us support Sustainability Mangers in their daily work using modern ML- and LLM-based systems for various use cases. You'll contribute to building AI components, data pipelines, and modeling logic that enable our customers to make informed, sustainable decisions.
WHAT YOU'LL DO
- You support the development of our AI systems (including LLM-based approaches, embeddings, retrieval methods) to precisely calculate Carbon Footprints and more.
- You develop and optimize Python code for data pipelines that integrate our emission factor database into existing systems.
- You work with SQL to analyze, validate, and prepare data for use in ML models.
- You support data modeling and the automation of accounting methodologies, keeping them aligned with current standards.
- You support our Product Owners and the ML team with customer-specific research, prototyping, and modeling tasks.
WHAT YOU'LL NEED TO THRIVE
- You are currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Mathematics, Physics, or a related field, with at least 1 year of studies remaining.
- You have solid Python skills and understand ML fundamentals (e.g. model training, evaluation, common algorithms) — the specific framework you've used matters less to us than the underlying understanding.
- You've already worked with LLMs or built your own projects with them (e.g. prompting, RAG systems, embeddings) and want to apply that knowledge in practice.
- You have solid SQL skills for data analysis and ETL.
- You're interested in sustainability topics; prior experience with CO2 accounting (e.g. GHG-P, ISO) or emission factor databases (e.g. ecoInvent, GaBi) is a plus, but not required.
- Very good written and spoken English.
- Availability 2-3 days per week.
WHAT AWAITS YOU!
In our corporate startup, we combine the innovative strength of an agile SaaS startup with the advantages of an established corporation. We foster an open and collaborative work atmosphere in which we share our knowledge through cross-team collaboration and celebrate successes together.
We value diversity and therefore welcome applications from all qualified candidates, regardless of gender, gender identity, nationality, age, disability, ethnic origin, religion or belief, or sexual orientation.
We look forward to your application!
- Remote-First culture: Beyond the freedom to work from anywhere in Germany, you can work up to 20 days a year from elsewhere in the EU.
- Offices: If you feel like some office vibes, you're welcome to drop by our office in Münster anytime. Meetings also take place in Munich, Berlin, Düsseldorf, and Hamburg.
- Flexible Working Hours: Shape your workday around your needs — no fixed core hours, as long as it works with your day-to-day tasks and team.
- Team Days: Our Team Days foster exchange beyond the daily routine, help new colleagues get to know the team, and strengthen our company culture.
- Equipment: You'll work with a powerful MacBook that provides you with optimal support in your daily work.
- Learning & Development: With our Udemy Pro access, you get unlimited access to further training in your field.
- Further Benefits: Pension plan from thyssenkrupp, bike leasing, corporate benefits, and many more extras await you!
We value diversity and therefore welcome applications from all qualified candidates, regardless of gender, gender identity, nationality, age, disability, ethnic origin, religion or belief, or sexual orientation.
We look forward to your application!
About us
At pacemaker.ai, we are passionate and ambitious about developing AI-based solutions to make our customers' supply chains sustainably better. We combine data and industry knowledge from experts to create precise forecasts and detailed CO₂-balances using artificial intelligence. In this way, we support our customers in making informed decisions for a cost-optimized, more efficient and sustainable supply chain.