Orita builds AI customer segments for many of the best brands in the world. As a Senior Machine Learning Engineer, you will design, train, and deploy models that directly power our marketing-focused products, primarily for marketing use cases.
Requirements
- 5+ years of full-time software engineering experience, including at least 3 years working on ML systems.
- 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.
- 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)
- Comfortable with advanced experimentation techniques.
- Understanding of performance measurement in real-world deployments.
Benefits
- Impact: Join a lean, agile team shaping the future of ML for leading global brands.
- Growth: Work directly with industry veterans with strong academic and professional backgrounds.
- Innovation: Experiment with the latest ML models, from tree-based methods to cutting-edge LLMs.
- Culture: We value ownership, iteration, and continuous learning—everyone’s voice matters.
