Summary: Doodle is seeking a Full-Stack AI Engineer to own the entire lifecycle of intelligent system development, from architectural design to deployment and maintenance. Highlights: 1. Design and build end-to-end intelligent systems with various ML tools. 2. Own the AI product pipeline, including data plumbing and orchestration. 3. Apply research to solve complex problems and ensure model safety. Doodle is a B2B SaaS platform used by millions of professionals to coordinate meetings and collaboration across teams and companies. We are expanding from a scheduling product into a broader productivity and coordination platform, which creates meaningful technical challenges at scale. We need a Full\-Stack AI Engineer who is as comfortable with mathematical modeling and research as they are with deploying production\-grade code. You will own the entire lifecycle: from choosing the right architecture to building the data pipelines that feed it. **What You’ll Do** * **Design \& Build:** Move beyond LLM prompts. You will architect end\-to\-end intelligent systems using the right tool for the job—whether that’s a Gradient Boosted Tree, a Transformer, or a custom CNN. * **Own the Pipeline:** Build and maintain the "plumbing" (Airflow, dbt) and the "orchesteration" (MLflow, ZenML) of our AI products. * **Research \& Experiment:** Apply a research\-oriented mindset to solve complex problems like multi\-hop reasoning, model quantization for edge devices, and advanced retrieval. * **Evaluate \& Refine:** Don't just ship it—verify it. You'll build frameworks to detect hallucinations, measure regression, and ensure our models are safe and explainable. **What you bring:** We are looking for a practitioner with deep foundations. You should have: * **Strong ML Fundamentals:** Proven experience solving problems with traditional ML (XGBoost, LightGBM) and deep feature engineering. * **Deep Learning Expertise:** Hands\-on experience with CNNs, RNNs, or Transformers. You understand what happens inside the model, not just how to call an API. * **Research Background:** A strong plus. You can read a paper and implement the findings. * **The Full\-Stack Mindset:** Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Scikit\-Learn), plus experience with the modern data stack (SQL, dbt, Airflow). **What you get** * Competitive compensation aligned with experience * Flexible working setup * Time and budget for learning and development * Real ownership over features and technical decisions * A collaborative, low ego engineering environment * A product used by millions of professionals worldwide ##### **Hiring Stages** * Application Review * Technical Interview with Coding Challenge * Exec Interview * HR Interview (incl. Bryq Personality Assessment) * Final Steps You must have the legal right to work in the country you are applying for. We are unable to sponsor visas or support relocation. **So, Get in Touch!** At Doodle, we’re 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. We’re 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 don’t hesitate to apply!