About Compa

• Ship ML features and services that enable the world's best companies to make smarter pay decisions
• Lead ML-based projects from end-to-end: scoping and planning, data collection and feature engineering, model training and deployment, backend implementation, and online experimentation
• Prototype ML solutions in close collaboration with product and engineering teams, iterating rapidly based on customer feedback and business requirements
• Build Compa's ML infrastructure from the ground up: develop models, establish deployment pipelines, and manage production systems that serve enterprise customers as well as internal operations
• Drive technical excellence and establish ML best practices across the team
• 4+ years of industry experience building and deploying ML models to solve real-world problems and deliver measurable business value
• Hands-on experience with classification, embeddings, natural language processing, and large language models
• Proficiency in Python, SQL, Git, and common ML frameworks (scikit-learn, XGBoost, PyTorch, or similar)
• Gumption — experience working at early-stage startups
• Experience with NLP techniques such as sentence transformers or semantic similarity
• Experience with model serving frameworks (FastAPI or similar)
• Familiarity with experiment tracking tools (MLflow or similar)
• Experience with data pipeline technologies (Prefect or similar)
• Experience with cloud platforms (AWS, GCP, Azure, etc.)
• Comfortable with Docker and basic CI/CD workflows