Software Engineering Intern- AI/ML Backend… at Digs · Vancouver

Summary: Digs is building the future of collaboration between builders and homeowners, and they are seeking a Software Engineering Intern for AI/ML Backend. The intern will work on building and maintaining FastAPI services, integrating machine learning models into production workflows, and contributing to the broader engineering efforts of the company. Responsibilities: - Build and maintain FastAPI services in Python that serve ML models and integrate into our broader microservices architecture - Build evaluation frameworks and benchmarks to systematically measure quality across our ML services - Work with geometric and spatial data using libraries like Shapely, NumPy, and OpenCV to process, validate, and post-process model outputs into production-ready formats - Improve and extend our vision and language pipelines for construction document understanding, including tasks such as instance segmentation, classification, and geometric shape analysis - Integrate ML outputs into production workflows orchestrated by our Restate durable execution engine - Adopt and help shape our agentic coding practices — our team embraces tools like Cursor, Copilot, and Claude Code to accelerate development - Work with vector embeddings and semantic search infrastructure using pgvector - Contribute to our TypeScript backend and React frontend as features require end-to-end implementation - Run data analysis and experimentation to identify model failure modes and drive improvements with measurable results - Contribute to our human-in-the-loop annotation workflows, helping design pre-annotation pipelines and process crowdsourced labeling results Required Qualifications: - You recently completed a degree in Computer Science, Machine Learning, Data Science, or a related field (or have equivalent practical experience) and are looking for a runway to transition into a full-time role - You have a strong foundation in Python and are comfortable writing production-quality code, not just notebook prototypes - You have coursework or project experience in machine learning and understand the fundamentals of training, evaluation, and iteration - You are comfortable working with data — cleaning it, analyzing it, visualizing it, and drawing conclusions from it - You are a highly collaborative, self-motivated communicator who thrives in ambiguity, takes ownership of your work without waiting for instructions, and isn't afraid to say 'I don't know yet' while moving fast - You are comfortable participating in virtual meetings and in-person collaboration at our Vancouver, WA HQ Preferred Qualifications: - Experience building APIs with FastAPI, Flask, or similar Python web frameworks and deploying models behind them - Familiarity with HuggingFace Transformers and the model hub ecosystem - Experience training models from scratch or fine-tuning using supervised fine-tuning or parameter-efficient fine-tuning techniques - Contributions to open-source projects or published research - Startup experience: proven ability to move fast on a small engineering team - Experience or interest in the home building, home remodeling, construction, or real estate industries Required Skills: Python, Machine Learning, FastAPI Important Skills: Data Analysis Internship Start Date: Start in 2026 Spring Benefits: We will provide all necessary equipment, including a laptop, to ensure you have everything needed to succeed in this role.