Machine Learning Engineer, Ranking & Retrieval

BJAK builds AI-native applications designed to make everyday communication and workflows more intelligent. The Machine Learning Engineer will develop, evaluate, deploy, and improve machine learning systems for classification, retrieval, ranking, personalization, and production applications.

Responsibilities:

• Build and improve ML systems that power our AI-native applications
• Work on classification, retrieval, ranking, personalization and evaluation, taking ownership from model development to production deployment
• Build and improve ML models for classification, ranking, retrieval and personalization
• Develop efficient classifiers and optimize model accuracy, precision, latency and cost
• Improve search relevance and context retrieval using embeddings, hybrid search and reranking
• Build personalization models that learn from user behavior while respecting privacy
• Develop evaluation pipelines, labeled datasets and metrics to measure model quality
• Fine-tune and adapt existing models when supported by sufficient data
• Build and maintain ML training, inference and deployment pipelines
• Debug production issues, monitor model performance and ship improvements based on real-world feedback

Requirements:

• Strong foundations in machine learning and modern neural architectures
• Hands-on experience building and deploying ML models in production
• Experience in classification, ranking, retrieval, recommendation systems or personalization
• Understanding of model evaluation, experimentation and performance metrics
• Comfortable writing production-quality code and working with real-world datasets
• Able to balance model quality, latency, cost and reliability
• Strong ownership, problem-solving skills
• Joining our team requires the ability to bring structure, exercise judgment and execute independently