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GetWhy is building an end-to-end AI-powered human insights platform in Denmark, and we are hiring a Senior AI Engineer to lead the ML lifecycle from data labeling to training, validation, and deployment.
You will work on NLP/ML models and large language models at scale, balancing cutting-edge research with production readiness, and collaborating with researchers, engineers, and product teams to deliver scalable AI features.
At GetWhy, we’re on a mission to change the way brands understand people. We help the world's biggest brands get closer to their consumers—faster, smarter, and with a human touch - through breakthrough research powered by AI. Companies like Coca-Cola, Heineken, Unilever and more trust us to deliver consumer insights in hours, not weeks.
We are building an end-to-end AI-powered human insights platform, redefining the boundaries of qualitative research. To fuel our journey, we raised a $34.5M Series A investment from PeakSpan Capital in 2024, making it one of Denmark’s largest Series A rounds to date.
We are dedicated to delivering high-quality AI products leveraging the latest tools and techniques and to serve them across our core products in a scalable way.
For this, we use classic machine learning for predictive models to deal with fraud detection, language classification, visual understanding and automating internal workflows. These make heavy use of video processing, speech-to-text and multilingual translations models and pipelines.
We also build a lot of functionality around state of the art LLMs. We treat off-the-shelf LLMs as future commodities and aim to benefit from their strengths while employing principled methodologies to build guardrails and fallback strategies for their weaknesses. We strive to achieve a deep understanding of prompt engineering, context management, and LLM behavior quirks (e.g., hallucinations, non-determinism, context management), by focusing on evaluation and observability through monitoring for latency, accuracy, and usage.
We’re looking for a Senior AI Engineer to join our growing stellar AI team. You will be responsible for all stages in the machine learning lifecycles across projects, from designing and defining data annotation steps to model training, validation and deployment.