Full-Stack AI Engineer

DoodleAtlanta, GA
3h

About The Position

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.

Requirements

  • 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.
  • The Full-Stack Mindset: Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Scikit-Learn), plus experience with the modern data stack (SQL, dbt, Airflow).

Nice To Haves

  • Research Background: A strong plus. You can read a paper and implement the findings.

Responsibilities

  • 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.

Benefits

  • 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
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