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Senior Machine Learning Engineer

People In AI

full-remoteseniorpermanentbackenddata United States 3 days ago via LinkedIn
225,000 - 270,000 USD/annual

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Tags

Machine LearningPythonPersonalizationRecommendation SystemsRanking ModelsEmbeddingsRepresentation LearningPrivacy-Preserving Machine LearningAirflowSpark

About the role

Role overview

Senior Machine Learning Engineer focused on Personalization & Representation Learning in a rapidly scaling AI startup. You’ll work on production ML systems leveraging large behavioral datasets, with an emphasis on representation learning, recommendation/ranking, and privacy-preserving ML infrastructure.

Responsibilities

  • Design and deploy production ML systems for personalization, recommendations, ranking, and predictive modeling
  • Build representation learning systems to convert large-scale behavioral data into compact, high-signal embeddings
  • Develop and optimize recommendation engines, CTR prediction models, sequence models, and ad optimization systems
  • Create scalable ML pipelines and infrastructure for experimentation, deployment, monitoring, and continuous improvement
  • Work with large-scale, consented datasets (e.g., purchasing, browsing, app usage, location signals)
  • Contribute to privacy-focused machine learning and secure data processing workflows
  • Partner with engineering, product, infrastructure, and research teams to bring models into production
  • Help shape ML architecture, tooling, and best practices in a fast-moving startup environment

Requirements

  • Proven experience shipping machine learning systems into production
  • Strong Python skills and hands-on experience with modern ML frameworks
  • Experience with personalization, recommendation systems, ranking models, embeddings, or representation learning
  • Familiarity with large-scale behavioral datasets and production ML infrastructure
  • Strong understanding of experimentation, model evaluation, feature engineering, and scalable deployment
  • Experience with orchestration/infrastructure tooling such as Airflow, Spark, CI/CD, or similar
  • Strong communication and collaboration skills across technical and product teams
  • Ability to operate with high ownership and ambiguity in a startup environment

Nice to have

  • Broad experience across recommendation/ranking plus privacy-preserving ML infrastructure (implied by focus areas)

About People In AI

People In AI is a specialist search firm focused on hiring for data, machine learning, AI engineering, and adjacent technical leadership roles. The posting describes a rapidly scaling AI startup building machine learning infrastructure that turns massive behavioral datasets into production-ready predictive intelligence for enterprise customers.

Scraped 5/16/2026

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