ML Engineer (Computer Vision)

We're seeking an exceptional Machine Learning Engineer with expertise in computer vision to join our growing team. You will be our first ML Engineer, set up our entire ML infrastructure and play a critical role in developing innovative solutions to streamline heat pump installations.

Responsibilities:

• Develop and implement machine learning models. The core will be a computer vision model based on camera and LiDAR data.
• Design, build, and maintain the ML infrastructure using Roboflow
• Preprocess and analyze large datasets
• Train and fine-tune machine learning models
• Collaborate with cross-functional teams to integrate ML solutions into the platform
• Monitor and improve the performance of deployed models

Qualifications:

• Strong proficiency in machine learning and computer vision techniques
• Experience with ML frameworks such as TensorFlow, PyTorch, or similar
• Optional: Experience with Roboflow
• Optional: Experience with Apple’s ARKit or any other augmented reality tools
• Proficiency in Python and related ML libraries
• Familiarity with LiDAR technology and data processing
• Experience in setting up and managing ML infrastructure
• Preferably based in Berlin, with a willingness to work from our office close to Rosenthaler Platz

What we’re offering:

• Office in Berlin-Mitte: Our office is located near Weinbergspark in Berlin-Mitte.
• Equipment: You have the freedom to choose your own equipment (within a budget range).
• Annual Team Retreat: Let’s enjoy an annual retreat with the entire team.
• Mobility Package: Choose between a JobRad and Dance Bike for your mobility.
• Fitness Package: Choose between Urban Sports and Classpass for your fitness.
• Collegial and Familial Team: A collegial and familial team welcomes you, characterized by an open company culture.
• Part of the Energy Transition: Be a part of the energy transition and directly experience the impact of your daily work.

1. Screening Call: A brief initial conversation to discuss your background and the role.
2. First Interview: A deeper dive into your experience, skills, and fit for the role.
3. Coding Challenge: A technical assessment to evaluate your coding skills and problem-solving abilities.
4. Final Interview: A comprehensive interview with key team members, focusing on technical expertise, cultural fit, and your vision for the role.