Machine Learning Engineer - Remote

Overview

We’re building an AI Tutor — a personalized learning system that leverages machine learning to adapt educational content and learning paths for each student.

In Short

• Build AI-powered platform that personalizes the educational journey for thousands of TripleTen students across the US and Latin America.
• Define the direction of AI and ML development in a new product, taking ownership of key architectural and technical decisions.
• Contribute to the content and evolution of the platform itself, shaping what and how students learn through data-driven personalization.
• Prototype quickly, validate ideas, and transform successful experiments into reliable production systems.

Requirements

• Broad ML expertise. Experience training and evaluating different model types to solve real problems such as recommendation, retrieval, ranking, or next-best-action prediction. Proven depth in one or two specific areas.
• Metrics and evaluation. Strong understanding of statistics and ML metrics; ability to measure model performance and connect it to business outcomes.
• Generative AI experience. Experience building LLM-based applications that combine models with retrieval or vector databases, external APIs, and agentic or workflow-based approaches (e.g., tool calls, MCP).
• Prototyping and production delivery. Comfortable working quickly in research and experimentation, with a track record of bringing 1–2 ML solutions into stable, maintainable production systems.
• MLOps foundations. Experience managing experiments, versioning, and monitoring models using MLflow or similar tools.
• Backend and infrastructure. Experience with backend engineering and cloud deployment (AWS, GCP, etc.); understanding how to expose models as scalable services while maintaining code quality, testing, and reproducibility.

Benefits

• Fully remote and full-time collaboration with professional freedom and minimal micromanagement;
• Dynamic Team: Join a diverse, global team with experience across tech, ed-tech, and various industries;
• We use digital tools like Miro, Notion, and Google Workspace for seamless collaboration;