Machine Learning Engineer (Remote)
Joveo AI
full-remotemidpermanentbackend United States Yesterday via LinkedIn
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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