Senior AI/ML Engineer focusing on building advanced deep learning models for perception tasks. Work with cross-disciplinary teams to develop solutions in a hybrid environment.
Responsibilities
Design and build and optimize state-of-the art deep learning models for 2D/3D perception tasks: object detection, segmentation, tracking, sensor fusion (camera, radar, LiDAR, IMU or equivalents).
Lead development of scalable ML pipelines for large-scale data ingestion, preprocessing, active learning, and annotation workflows.
Architect & Develop end-to-end ML systems — from dataset management and training infrastructure to model deployment in simulation or production environments.
Collaborate closely with engineers, data scientists, and tooling experts to scale ML platforms across massive sensor datasets.
Deliver ML solutions optimized for accuracy, latency, and robustness in real-world, high-stakes settings.
Requirements
Built and deployed AI/ML systems in demanding real-world scenarios — robotics, medical imaging, surveillance, drone systems, geospatial analysis, or similar.
Proficient with deep learning frameworks like PyTorch or TensorFlow.
Strong Python skills and ability to contribute to performance-critical code (bonus points if you know C++, CUDA or ONNX for model optimization).
Experienced with ML infrastructure: data pipelines, CI/CD for ML, distributed training, annotation tooling, and versioning (MLflow, DVC, Weights & Biases, Airflow, Kubeflow, or Metaflow).
Familiar with cloud computing platforms (Azure, GCP) and GPU clusters (SLURM, Kubernetes, Docker).
MSc or PhD in computer science, applied math, physics, or a related technical field.
Benefits
Flexible working: hybrid in Gothenburg or Munich, or fully remote within the EU.
Join a flat, inclusive culture that values learning and psychological safety.
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