Key skills

Machine learningRecommender systemsPersonalizationCTR modelingRankingML system deploymentData processing pipelinesTraining pipelinesEvaluation metricsExperimentation strategyDistributed data processingWorkflow orchestrationCI/CD toolingExperiment trackingProduction inference servicesPythonProduct instinctsPragmatic problem-solving mindsetAIMachine LearningMLCI/CD

About this role

People In AI is a well-capitalized AI company focused on building large-scale behavioral modeling systems. They are seeking a Senior Machine Learning Engineer to design and deploy ML-powered personalization and prediction systems in production, driving measurable impact through real-world applications.

Responsibilities:

Design and deploy recommender, ranking, or personalization models in production
Build and maintain data processing and training pipelines
Define evaluation metrics tied directly to business outcomes
Partner with product stakeholders to shape experimentation strategy
Improve system performance through monitoring, iteration, and feedback loops
Contribute to infrastructure and tooling that support scalable ML workflows

Requirements:

Experience shipping ML systems in production environments
Background in recommender systems, personalization, CTR modeling, ranking, or related domains
Comfort working across the full ML stack, including data orchestration and deployment
Strong product instincts and ability to translate model performance into business value
Pragmatic problem-solving mindset with a bias toward impact
Comfort operating in a lean, fast-moving environment
Python and large-scale ML frameworks
Distributed data processing systems
Workflow orchestration and CI/CD tooling
Experiment tracking and evaluation systems
Production inference services