Senior / Staff ML Engineer at Instawork

Candidates should possess a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field, with a PhD being a plus; they must have 8+ years (Staff) / 5+ years (Senior) of experience in quantitative analysis, statistical modeling, and deploying machine learning solutions to production; a strong command of advanced statistical techniques such as regression, hypothesis testing, and distributions, along with practical experience applying them to real-world problems is required, as well as a deep understanding of machine learning algorithms, including decision trees, clustering, neural networks, and their trade-offs in production environments; proficiency in Python and SQL, combined with experience in ML libraries like PyTorch, TensorFlow, and XGBoost, is essential; familiarity with data modeling and pipeline development using dbt, alongside the ability to design clean, scalable transformations, is also necessary, as is working knowledge of modern data/ML infrastructure such as Airflow, MLFlow, feature stores, vector databases, and CI/CD for ML.