Careers

We are hiring a machine learning engineer at the start of their career. You will build, train, and evaluate models with Python and scikit-learn, take them from notebook experiments to reproducible pipelines, and help shape the ML examples that thousands of learners use through our tutorials and courses.

We are looking for a data scientist who enjoys digging into data and explaining what it means. You will run analyses end to end: framing the question, preparing the data, building models, and presenting findings that people can act on. The best analyses also become case studies in our tutorials.

We build LLM applications, RAG pipelines, and agent systems, and we teach others how to do the same. You will prototype and ship generative AI features, work with models from OpenAI, Anthropic, Gemini, and Ollama, and turn what you learn into examples for our courses and products like SideSense Pro and TypeFlow.

Agents are the center of our newest courses and products. You will design multi-agent workflows with LangGraph, build MCP servers and tools, run local models with Ollama, and stress-test agent loops until they are reliable enough to teach from.

We are hiring an NLP engineer who enjoys making machines understand text. You will build text classification, sentiment analysis, and information extraction systems with spaCy and Hugging Face transformers, and your best work will become examples in our NLP tutorials.

We are hiring a deep learning engineer to build and train neural networks end to end. You will work on computer vision and sequence models with PyTorch and TensorFlow, tune them until they perform, and document what actually worked so learners can follow the same path.

You will write the tutorials our readers learn from: code-first guides on machine learning, deep learning, NLP, and generative AI. You run every line of code yourself, explain it simply, and make the reader feel they can build it too.