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Salary
≈ $69k – $173k per year (Estimated)
Location
In office (Stockholm)
Seniority
Senior · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Aug 12, 2026.

Overview
Company
Impact
Profile match
Boost your creative output.And your bottom line. Backlight replaces broken media workflows with simple, AI-powered products designed to make your teams faster and your business stronger.

The Mission

Backlight is a global media technology company dedicated to improving the entire video content lifecycle, from creation to monetization. Our suite of SaaS solutions empowers creative teams at every stage of production.

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

  • Own the technical roadmap for multimodal AI initiatives.

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

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

  • Develop industry-leading ASR and TTS systems.

  • Create advanced semantic search for text data.

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

  • Mentor junior and mid level engineers and contribute to a culture of innovation.

Requirements

We're looking for someone who can hit the ground running and make an immediate impact.

  • 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 (Transformers, CNNs, 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

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