Working Student/Intern Machine Learning (m/f/d)

The building sector is responsible for 40 percent of CO2 emissions in Germany, making it the largest contributor. Moreover, we spend most of our time indoors, which gives us all the more reason to operate buildings in a way that keeps people at the center, both now and in the long term. As a young PropTech startup, we are committed to exactly this goal: to operate buildings in an automated, reliable, and sustainable manner. With our intelligent building control system, we are on the path to achieving a climate-neutral building stock by 2045.

As a Working Student/Intern Machine Learning (m/f/d), you will work closely with top experts in their field, gaining invaluable hands-on experience with innovative technology developed over five years of research. You’ll have the opportunity to deepen your machine learning skills by contributing to cutting-edge projects in energy optimization and predictive analytics.

Aufgaben

What You’ll Work On:

• Design and deploy ML models for energy optimization and predictive analytics, integrating solutions that are both robust and efficient.
• Develop, test, and implement cost-effective, real-time energy management strategies.
• Optimized Workflows with CI/CD and MLOps by streamlining data handling, feature engineering, and model management to improve efficiency.
• Build predictive models for real-time device health monitoring, boosting uptime and reducing maintenance costs.

Qualifikation

Who We’re Looking For:

• You’re in your 5th semester or higher in a Bachelor’s or Master’s program in Informatics or a related field.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch) is essential.
• Familiarity with scalable architectures and DevOps tools (like Docker, Kubernetes, or Kubeflow) is a plus.
• You’re proactive, highly organized, and driven to push boundaries to set new standards in ML.

Benefits

Why baind AG:

• Your Impact: Join us in transforming the building sector, responsible for 40% of Germany’s CO₂ emissions and drive toward a climate-neutral future by 2045.
• Your Chance: Join as one of the first team members in our ML team, taking on opportunities to grow with a high-impact startup that just closed a successful seed round and is ready to take off with you.
• Competitive Pay: Starting at 21 €/h, with the potential for a raise after six months based on performance.
• Comprehensive Resources: Access our in-house compute cluster for model training and fine-tuning.
• Flexible Work Environment: Choose between macOS or Linux, work up to 50% remotely, and benefit from flexible hours.
• Work-Life Balance: Enjoy a Wellpass membership with access to over 10,000 sports and wellness facilities across Germany.

Apply with your resume, transcript, and a brief note on why you’re a perfect fit. Specify if you’re applying for an internship, working student role, or thesis project. We are looking forward to your application!