- Location
- Munich, Germany
- Last Published
- Dec. 11, 2024
- Sector
- Business Applications
- Functions
- Software Engineering
- Data Science
Your mission How you can contribute
As a Machine Learning Engineer intern, you'll play a pivotal role in constructing, refining, and maintaining the infrastructure for training and deploying machine learning models. Your primary focus is to craft scalable, robust, and production-ready ML solutions. Collaborating closely with our software engineers, your journey will be guided by a personal mentor dedicated to your learning and growth. This collaborative effort aims to bring ML models to life in real-world applications, particularly within the dynamic context of industrial procurement and supply chains.
Your responsibilities
Your profile Let's talk about you
We’re looking for a talented ML engineer intern to help us build the vision of making supply chains digital, efficient, and sustainable for our customers. Now you may wonder what frameworks, tools, and languages you need to master. We believe that problem-solving, creativity, and drive are more important than tools that can be picked up. However, the following references will give a guideline of what experiences we think might be helpful.
Our Tech Stack
Other technologies that we enjoy discussing and encourage in the team:
As a Machine Learning Engineer intern, you'll play a pivotal role in constructing, refining, and maintaining the infrastructure for training and deploying machine learning models. Your primary focus is to craft scalable, robust, and production-ready ML solutions. Collaborating closely with our software engineers, your journey will be guided by a personal mentor dedicated to your learning and growth. This collaborative effort aims to bring ML models to life in real-world applications, particularly within the dynamic context of industrial procurement and supply chains.
Your responsibilities
- Infrastructure Development: Assist in building and enhancing infrastructure for modern machine learning applications, focusing on modularity and scalability.
- Great User Experience: Collaborate with customers and product teams to improve user experience and contribute to result fine-tuning.
- Workflow Optimization: Support the design and optimization of APIs for streamlined machine learning workflows, integrating best practices.
- Deployment and Monitoring: Contribute to the deployment of ML models in production and assist in establishing monitoring procedures for stability.
- Shape the Stack: Stay informed about ML tools and concepts, actively participating in tool selection for tasks.
- Sharing Best Practices: Engage in knowledge sharing within the team to build a common understanding across the organization.
Your profile Let's talk about you
We’re looking for a talented ML engineer intern to help us build the vision of making supply chains digital, efficient, and sustainable for our customers. Now you may wonder what frameworks, tools, and languages you need to master. We believe that problem-solving, creativity, and drive are more important than tools that can be picked up. However, the following references will give a guideline of what experiences we think might be helpful.
- Demonstrated experience in creating and deploying machine learning applications in real-world scenarios.
- Strong programming abilities in languages like Python, and some familiarity with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
- Exposure to setting up a production-ready machine learning stack that is modular and ready to scale.
- A solid understanding of software engineering best practices.
- Keeping up-to-date with the latest developments in the ML field, such as LLMs, LMMs, etc.
- Proficiency in optimizing and troubleshooting production code.
- Making informed trade-off decisions and understanding how to make sensible choices based on the current phase of the company.
- Excellent communication and collaboration skills, enabling effective teamwork with cross-functional teams.
Our Tech Stack
- Backend: Python, FastAPI, SQL Alchemy, Alembic, Pydantic, Pytest, ...
- Frontend: TypeScript, NextJS, Zustand, Material UI, React Hook Form, ...
- DB: PostgreSQL
- Data: Python, Prefect, Pandas, ...
- Cloud: Azure
- Other: GitHub, GitHub Actions, Dependabot, Pre-commit, Mozilla SOPS, ...
Other technologies that we enjoy discussing and encourage in the team:
- Backend: Golang, Rust
- Frontend: Vue / Nuxt, Svelte / Svelte Kit, Tailwind, Bun, tRPC, ...
- Linux: Nix, Arch, Ubuntu, i3, ...
- Other: LLMs, LMMs, NeoVim Configs, ...
- Powering the industry that builds the world: We create a new wave of innovation by lifting Europe’s industrial backbone with tens of millions of workers to the digital era
- Enabling powerful business collaboration: We enable powerful collaboration among supplier networks as the basis for future economic growth
- Saving resources in supply chains: We optimize the 50-80% of costs and emissions of physical products originating from suppliers to enhance sustainable growth
- Timing: Our product manages hundreds of millions of € of material to manufacture physical products from bread cutters to medical technology. The Industrial Mittelstand trusts us and we are ready to scale! Join us to shape the future of our organization & product!
- Top investors believe in us: We are supported by first-class investors such as Sequoia Capital, Index Ventures, Cherry Ventures, Visionaries Club, UVC Partners as well as the founders of Personio, GetYourGuide, Helsing & Forto. Join us to show them they invested wisely!
- Team: We are an interdisciplinary and international team that is highly motivated to succeed, but loves to laugh. Join us to grow personally as well as professionally, accelerated by our supportive culture that includes everyone.
- Impact: We are reshaping industrial procurement, which is the biggest value driver of manufacturing companies - there is no physical product in the world without procurement involved. Join us to future-proof the most important economic sector in Germany with over 10 million employees.
- Your vacation: 26 paid vacation days per year + christmas & silvester.
- Your office: We embrace an office culture, and all our employees enjoy coming to our beautiful office at Königsplatz in Munich. However, you also have the flexibility to work remotely at times. Our guideline is 3-4 days in the office and 1-2 days working from home.
- Your setup: Choose your preferred equipment and work environment – whether it's Mac, Windows, or Linux. We want you to feel comfortable.
- Your team: We are growing and have fun together with team lunches, coffee dates, chess games, bouldering sessions, and more – everything is optional, no pressure.
- Your safe space: We believe that a diverse workplace where different voices are heard makes us stronger.
- Your health: We provide company health insurance (if you are new to the German work environment) and offer you a membership in the Urban Sports Club or Wellpass.