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You will be updated with latest job alerts via emailAt Doodle were building the future of scheduling and productivity tackling complex challenges at the intersection of human collaboration and digital efficiency. We believe in crafting elegant solutions to intricate problems and were looking for passionate Data Scientists who share this drive.
Youre more than an analyst; youre a builder a problem-solver and a continuous learner who thrives on applying AI to real-world impact. Youll shape and refine our core AI systems playing a pivotal role in designing and training models that are accurate scalable and resilient. If youre excited by the intricacies of machine learning pipelines the power of generative AI and the precision required when working with human time and behavior youll find a stimulating environment here.
Doodle is the worlds leading scheduling platform helping millions of people instantly set meetings with clients colleagues and teams. Tapping into the unique nature of smart scheduling Doodle simplifies the planning of 1:1 and group meetings for busy professionals. As the worlds most trusted online scheduling platform Doodle attracts more than 25 million visitors each month. Doodle is headquartered in Zurich with offices in Belgrade and Berlin and some colleagues working remotely from the US.
You will be the architect of our intelligent systems from a data and modeling perspective. You will design explore and prototype solutions for complex problems.
Explore and implement Retrieval-Augmented Generation (RAG) or Graph RAG approaches to improve the quality of information retrieval and reasoning in LLM workflows. This includes graph construction entity linking and hybrid scoring strategies.
Contribute to prompt design and continuously evaluate prompt results to ensure model outputs are reliable and aligned with user goals.
Design and implement solutions using various neural network architectures beyond LLMs such as Convolutional Neural Networks (CNNs) for image tasks or Recurrent Neural Networks (RNNs) for sequential data based on the specific problem.
Develop evaluation frameworks for testing model output quality reliability and alignment with user goals (e.g. hallucination detection prompt regression safety scoring).
Contribute to our AI strategy and roadmap helping shape how we scale the use of models responsibly across the platform. This includes thinking beyond LLMs to select the right neural network architecture for a given task.
Prototype and evaluate AI features on platforms like Claude or Amazon Bedrock with a focus on production readiness.
Quantize large models into smaller more efficient models to enable edge intelligence and on-device processing.
Youre a practical AI builder who thinks in terms of customer value.
You have experience designing and evaluating models and are proficient in Python.
You understand model behavior and output evaluation.
You are familiar with RAG Graph-based retrieval prompt design and multi-hop reasoning.
Youre comfortable with the full lifecycle of an AI component from planning and modeling to testing and continuous improvement.
Compensation & Financial Well-being
Flexible & Hybrid Culture
Learning & Career Growth
Well-being & Home Office Setup
Family & Inclusive Benefits
Extra Perks
At Doodle were committed to providing an environment of mutual trust and respect where equal employment opportunities (EEO) are available to all applicants and teammates without regard to age race color disability religion gender and sexual orientation. Diversity and inclusion are of utmost importance to us. Were committed to building a team that represents a variety of backgrounds perspectives and skills. The more inclusive we are the better our work and our products will be. We want to hear from you so please dont hesitate to apply!We look forward to receiving your full application.
IMPORTANT NOTICE: Please note that we can only consider your application if you are based and have the right to work in the specified countries. At this time we are unable to sponsor visa for this position or support with relocation.
Full Time