As our Senior AI Engineer, Multimodal Systems, you will architect and build the next generation of AI-powered features by integrating computer vision, speech processing, and natural language understanding. You’ll transform raw data into intelligent, low-latency systems that define the future of video content.

Responsibilities

• Define the technical roadmap for our multimodal AI initiatives.

• Design, develop, and deploy sophisticated multimodal AI models from research to production.

• Build and optimize object detection models for real-time video analysis.

• Develop industry-leading Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) systems.

• Create advanced semantic search capabilities for text data.

• Integrate AI systems into robust, scalable pipelines and optimize for performance.

• Mentor junior engineers and elevate the team's technical capabilities.

Requirements

We're looking for seasoned engineers who can translate complex AI concepts into tangible product value.

• Master's or Ph.D. in Computer Science, AI, or a related quantitative field.

• 3+ years of hands-on experience developing and deploying production AI/ML systems.

• Expertise in Python, including ML frameworks (TensorFlow, PyTorch) and web frameworks (Flask, FastAPI).

• Deep understanding of deep learning architectures, including Transformers, CNNs, and RNNs.

• Solid grasp of NLP concepts, embedding techniques, and vector search.

• Proven experience deploying ML models in major cloud environments (AWS, GCP, Azure).

Bonus points

• Experience with LLM tools, vector databases, signal processing, MLOps, or distributed computing.

Work Arrangement

Location: Stockholm, Sweden

Time zone: CET