Applied Machine Learning Engineer

About the Role

The APPLIED MACHINE LEARNING ENGINEER role is responsible for building and enhancing machine learning models and systems that power AI-driven features. This position contributes by developing and deploying models for classification, ranking, and personalization, ensuring model quality and system reliability to meet user needs. This is a Fully Remote Job.

Key Responsibilities

• Build and improve machine learning models for classification, ranking, retrieval, and personalization
• Optimize classifiers for accuracy, precision, latency, and cost
• Enhance search relevance using embeddings, hybrid search, and reranking
• Develop personalization models respecting user privacy
• Create evaluation pipelines, labeled datasets, and metrics to assess model quality
• Fine-tune and adapt models based on available data
• Maintain training, inference, and deployment pipelines
• Debug production issues and monitor model performance
• Collaborate with engineering and product teams to deliver reliable ML-powered features

Requirements & Tech Stack

• Experience in machine learning
• Experience in artificial intelligence
• Strong foundation in machine learning and modern neural architectures
• Hands-on experience deploying machine learning models in production
• Background in classification, ranking, retrieval, recommendation systems, or personalization
• Understanding of model evaluation, experimentation, and performance metrics
• Ability to write production-quality code and work with real-world datasets
• Skill in balancing model quality, latency, cost, and reliability
• Strong ownership and problem-solving abilities
• Proficiency with embeddings, vector search, ranking models, Python, PyTorch, and JAX

Qualifications

• Medical insurance
• Dental insurance
• Vision insurance