Senior Machine Learning Engineer

Role Overview

Senior, hands-on Machine Learning Engineer for production ML at the core of the product (not research-only). You will build behavioral modeling systems that power real-time personalization and predictive decisioning.

Mission

• Turn foundational behavioral models into scalable, revenue-driving applications
• Build and iterate ML personalization and prediction systems in production
• Close the loop between representation learning, experimentation, and product outcomes
• Deliver measurable impact through real-world ML systems operating at scale

Responsibilities

• Design and deploy recommender, ranking, or personalization models in production
• Own models, metrics, pipelines, and deployment for ML-powered products
• Build and maintain data processing and training pipelines
• Define evaluation metrics tied to business outcomes
• Partner with product stakeholders to shape experimentation strategy
• Improve system performance via monitoring, iteration, and feedback loops
• Contribute to infrastructure and tooling for scalable ML workflows

Requirements

• Experience shipping ML systems in production environments
• Background in recommender systems/personalization and/or related areas (e.g., ranking, CTR modeling)
• Ability to work across the full ML stack, including data orchestration and deployment
• Strong product instincts; ability to translate model performance into business value
• Pragmatic, impact-oriented problem solving in a lean, fast-moving environment

Nice-to-Haves / Context

• Experience with distributed data processing, workflow orchestration, CI/CD, and experiment tracking/evaluation
• Familiarity with production inference services and monitoring-driven iteration

Compensation & Location

• $220,000 - $260,000 + meaningful equity
• Remote (US)