orita - Senior Machine Learning Engineer

• 5+ years of full-time software engineering experience, including at least 3 years working on ML systems. • ML Expertise: • Deep knowledge of modern machine learning algorithms (tree-based methods, deep learning architectures, transformers/LLMs). • Hands-on experience with PyTorch, TensorFlow, XGBoost or equivalent frameworks. • Feature engineering using aggregations, embeddings, and sub-models. • MLOps & Cloud: • Track record building production-scale ML infrastructures, ideally using GCP (Vertex AI, KubeFlow, BigQuery, etc.). • Familiarity with CI/CD, containerization (Docker/Kubernetes), and distributed training (Spark, Ray, Dask, etc.). • Experience iterating models in a production environment is a must. • Strong proficiency in Python (numpy, pandas, etc.). • Experience with scalable data processing (Spark, Ray, BigQuery). • Job orchestration (Airflow) • Analytical & Statistical Background • Comfortable with advanced experimentation techniques. • Understanding of performance measurement in real-world deployments. • Comfortable wearing many hats—data wrangling, model development, deployment, monitoring, and performance optimization. We value ownership of the full lifecycle. • Excellent communication—able to explain complex ML concepts to non-technical stakeholders. • Self-starter mentality with the ability to own projects from ideation to deployment, picking up and learning new technologies as needed. • Familiarity with marketing technology or ads is a strong plus. • Experience with experimental design and methods such as causal inference or uplift modeling. • Exposure to modeling with LLMs and modern AI tooling. • Productionizing Reinforcement Learning and Bandit algorithms. • Ph.D in a technical field • Experience in a fast-paced or startup environment. • You live in or near New York City. Most of us work in EST.