Requirements

• Hold an MSc in computer science, machine learning, robotics, or a closely related field with experience in designing, implementing, and evaluating advanced AI systems.
• Hands-on experience developing and deploying computer vision models with real-world reliability under deployment constraints.
• Deep familiarity with modern deep learning architectures for visual perception, including convolutional and transformer-based models, applying techniques such as multi-task learning, domain adaptation, or model compression.
• Solid software engineering skills, writing clean, well-structured Python code, with experience deploying AI software to production including testing, QA, and monitoring.
• Excellent communication skills for clear and efficient reporting of research findings internally and externally.
• Passionate about staying updated with current research and reimplementing/extending state-of-the-art approaches in computer vision and deep learning.

Nice to haves

• PhD in computer vision, machine learning, robotics, or related field with publications in top-tier venues (e.g. CVPR, NeurIPS, ICLR, ICCV, ICRA, IROS).
• Experience with object detection, classification, single and multi-object tracking, or scene understanding.
• Experience designing, evaluating, and delivering end-to-end AI systems on edge devices with constrained compute resources.
• Experience with simulators, emulators, or synthetic data generation pipelines.
• Experience with Rust and/or C++.

What you'll be doing

• Optimising models for real-time deployed performance on target hardware, selecting architectures for throughput and latency constraints, and leveraging data to improve performance.
• Researching new model architectures and adapting state-of-the-art detection, tracking, or classification methods to operational use cases.
• Running multi-GPU or multi-node training jobs on large-scale sensor datasets to build foundation or auto-annotation models.
• Collaborating with product and deployment teams to identify perception bottlenecks, prioritise improvements, and shape the roadmap for new capabilities.

Perks and benefits

• Competitive salary and VSOP options.
• Relocation support up to €2,500 and 4 weeks temporary accommodation.
• Yearly learning allowance of €500/£450.
• Health and wellness benefits including gym membership and mental health support (Nilo.health).
• Regular company events and monthly social allowances.
• Enhanced parental leave: 22 weeks fully paid for primary caregivers and 6 weeks for secondary caregivers.
• Family support including 5 days paid family emergency leave, 100% remote work option during pregnancy, and phased return to work.