Mobile Camera Imaging AI Research Engineer

You will be joining a world-leading technology company at their R&D site in Tampere.

We are looking for someone to to lead the evolution of smartphone photography and videography. You will be responsible for transforming raw sensor data into high-fidelity visual content by designing, training, and deploying advanced machine learning models. This role bridges the gap between groundbreaking academic research and consumer-grade production, focusing on the end-to-end integration of AI into mobile imaging pipelines.
 

Responsibilities

• Next-Gen Computational Photography: Architect and develop AI-powered enhancement engines utilizing vision-language models, diffusion transformers, and generative frameworks to revolutionize image and video restoration.
• Optimization & Deployment: Bridge the gap between theoretical research and hardware constraints by optimizing billion-parameter models for efficient, low-latency execution on NPUs and mobile chipsets.
• Cross-Disciplinary Integration: Collaborate with specialists in spectral sensing, hardware engineering, and color science to design unified software-hardware imaging architectures.
• Data Strategy: Lead the development of high-quality training datasets, including the design of synthetic data pipelines to improve model robustness in challenging edge-case scenarios.
• Technical Roadmap Leadership: Define long-term innovation strategies for on-device vision pipelines and provide mentorship to internal engineering teams regarding AI integration.

Qualifications

• Master’s degree or PhD in Machine Learning, Computer Vision, Image/Signal Processing, or a related quantitative field.
• 10+ years of professional experience developing AI-driven image and video processing solutions, with a strong history of mobile imaging implementation.
• Hands-on mastery of cutting-edge architectures, including Latent Diffusion Models (LDM), Vision Transformers (ViT), and Diffusion Transformers (DiT).
• Expert-level proficiency in Python, PyTorch, and TensorFlow, with proven skill in model distillation, ONNX conversion, and NPU-compatible performance tuning.
• Proven ability to navigate ambiguous project requirements and innovate under technical constraints to deliver reliable, production-ready algorithms.
• Strong background in prestigious international science or math competitions (e.g., IMO, IOI, ICPC) is highly regarded.
• Excellent ability to articulate complex research findings to stakeholders and thrive in a fast-paced, international, and multicultural team environment.

Benefits

• Annual Bonus
• Relocation Package
• Lunch Vouchers
• Equipment (laptop, etc.)