Machine Learning Engineer

About This Opportunity

We are representing a confidential robotics organization based in Berlin that is pioneering automation solutions for heavy industrial equipment. Our client is developing advanced Physical AI systems that enable autonomous operation of large-scale machinery in challenging, unstructured environments. This is a unique opportunity to work on production-grade autonomous systems that operate in real-world conditions.

We are seeking a Machine Learning Engineer with deep expertise in perception to join their core technical team. You will be instrumental in developing real-time perception systems that allow autonomous heavy machinery to understand and navigate harsh industrial environments.

Responsibilities

• Design and implement deep learning models for 3D perception, including object detection, semantic segmentation, and occupancy prediction
• Develop and optimize multimodal networks fusing LiDAR, radar, and camera data for autonomous vehicles
• Contribute to Vision-Language-Action (VLA) models integrating perception and language inputs
• Optimize training and inference pipelines for real-time deployment on NVIDIA edge GPUs
• Lead data initiatives for the perception stack, from data pipelines and curation to model evaluation
• Collaborate with interdisciplinary teams to integrate perception systems into the full autonomy stack

What We're Looking For

Required Qualifications:

• Master's or PhD in Computer Science, Robotics, Electrical Engineering, or a related field
• Proficient in Python with strong experience using PyTorch
• Deep expertise in 3D perception and sensor fusion (LiDAR-camera-radar)
• Practical experience deploying deep learning models in real time on embedded hardware (TensorRT, ONNX, Jetson/Orin)
• Solid understanding of machine learning, deep learning, and autonomous systems

Preferred Skills:

• Experience with transformer-based perception architectures or VLA models
• Familiarity with BEV perception and multitask learning
• Experience with C++, ROS, and mmdetection
• Experience with perception in off-road, adverse-weather, or otherwise challenging conditions
• Proven track record of publications or significant industry experience in deep learning for autonomous driving or robotics

How We Work With You

Candidates apply directly through Get A Job.ai. Our recruiting team will conduct an initial screening to understand your background and ensure alignment with the role requirements. Once we've confirmed you're a strong match, we will submit your profile to our client for consideration. Please do not attempt to contact the client directly, as all communication must go through our talent team to ensure a professional and coordinated process.

Location and Employment Details

This position is based in Berlin with an office-based working arrangement. Our client offers relocation assistance for qualified candidates moving to Berlin. This is a full-time employment opportunity with an attractive compensation package including stock options.

Equal Employment Opportunity

Get A Job.ai is committed to fostering an inclusive recruitment process. We evaluate all candidates based on qualifications and merit, without regard to race, color, religion, gender, sexual orientation, age, disability, or any other protected characteristic.