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Machine Learning Engineer (Remote)

Joveo AI

full-remotemidpermanentbackend United States Yesterday via LinkedIn

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Tags

Machine LearningPythonPyTorchTensorFlowXGBoostFeature EngineeringFeature StoresMLflowModel DeploymentReinforcement Learning

About the role

Role Overview

Joveo AI is hiring a Machine Learning Engineer (Remote) to build the models and ML infrastructure that power AI-driven hiring decisions. You’ll own the full ML lifecycle, from feature engineering through deployment, ensuring models are accurate, scalable, and production-ready.

Responsibilities

  • Design, train, and deploy machine learning models at production scale
  • Build and maintain feature engineering pipelines and feature stores
  • Develop model evaluation frameworks and monitor production performance
  • Collaborate with data scientists to productionize experimental models
  • Build and maintain ML infrastructure, including training pipelines, serving layers, and registries
  • Research and evaluate new ML techniques for recruitment advertising

Required Skills & Qualifications

  • Strong Python proficiency and experience with ML frameworks: PyTorch, TensorFlow, and/or XGBoost
  • Experience with end-to-end ML pipelines from ingestion to model serving
  • Familiarity with ML platforms: SageMaker, Vertex AI, MLflow, and/or Kubeflow
  • Solid understanding of supervised, unsupervised, and reinforcement learning fundamentals
  • Experience with feature stores, model versioning, and experiment tracking
  • Strong software engineering skills for clean, tested, production-grade ML code

Nice-to-Haves

  • Expertise applying ML techniques to recruitment advertising use cases

About Joveo AI

Joveo AI is an AI-first recruitment advertising platform that applies machine learning, real-time bidding, and predictive analytics to hiring decisions. Its technology helps large employers find the right candidates faster and more fairly, operating at production scale.

Scraped 4/24/2026

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