📍 Gothenburg (Hybrid) or Munich (Hybrid/Remote within EU)

Ready to push the boundaries of AI that understands the world around us?

We’re looking for a Senior AI/ML Engineer passionate about perception and deep learning to join a cutting-edge team building state-of-the-art intelligence systems for complex, data-rich environments. Whether your experience comes from robotics, medtech, drone navigation, geospatial analysis, or other domains where AI meets real-world complexity—you’ll thrive here.

What You’ll Do

• 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.

Who You Are

• You’ve 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. And comfortable with mixed precision training and distributed compute.
• 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).

Bonus Points

Experience with perception-specific tasks such as tracking, stereo vision, or point cloud processing. Familiarity with 3D data processing , voxel grids, mesh representations, BEV projections.

Hands-on with large datasets, annotation workflows, worked with or build tools for data centric AI, active or semi-supervised learning, synthetic data generation.

Knowledge of transformation in vision (eg ViTs, DETR, BEVFormer, SAM etc) or multimodal fusion techniques.

Experience optimizing for edge or real time inference with TensorRT, ONNX Runtime or TFLite.

MSc or PhD in computer science, applied math, physics, or a related technical field.

Why This Role?

Work on AI that solves real-world perception challenges at scale.

Be part of a mission-driven, impact-focused environment.

Use and shape one of the most advanced deep learning and MLOps stacks out there.

Join a flat, inclusive culture that values learning and psychological safety.

🌍 Flexible working: hybrid in Gothenburg or Munich, or fully remote within the EU.

You’re a fit if you’ve:

Delivered production-level deep learning models in real, complex environments.

Built scalable ML pipelines supporting large and diverse datasets.

Collaborated with cross-disciplinary teams to build robust AI solutions.

Excited to build AI that makes a difference?

👉 Apply via Yora today and help us shape the future of intelligent perception.

About Yora

Yora is a tech collective built for today – and tomorrow.

We’re a part of Sigma, but move with our own mindset. Focused on AI, cloud, and cybersecurity, we work with companies that want to push boundaries – and people who want to work smart, not just hard.

We believe in flexible work that actually is flexible. Neurodivergent? Freelancer? Prefer deep focus over constant meetings? At Yora, you can shape your role to fit your life – not the other way around.