Machine Learning Engineer (Remote)
Joveo Ai
full-remotemidpermanentbackenddata United States Yesterday via LinkedIn
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Machine LearningPythonPyTorchTensorFlowXGBoostFeature EngineeringFeature StoresModel DeploymentModel MonitoringMLflow
About the role
Role Overview
Joveo Ai is hiring a Machine Learning Engineer (Remote) to build the models and ML infrastructure behind Joveo’s AI-driven hiring decisions. You’ll own the end-to-end ML lifecycle, from feature engineering through model deployment, ensuring production-ready, scalable, and accurate models.
Key Responsibilities
- Design, train, and deploy machine learning models at production scale
- Build feature engineering pipelines and maintain feature stores
- Develop model evaluation frameworks and monitor production model performance
- Collaborate with data scientists to productionize experimental models
- Build and maintain ML infrastructure, including:
- training pipelines
- serving layers
- model registries
- Research and evaluate new ML techniques for recruitment advertising
Required Qualifications
- Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or XGBoost
- Experience with end-to-end ML pipelines from ingestion to model serving
- Familiarity with ML platforms such as SageMaker, Vertex AI, MLflow, or Kubeflow
- Solid understanding of supervised, unsupervised, and reinforcement learning fundamentals
- Experience with feature stores, model versioning, and experiment tracking
- Strong software engineering skills: clean, tested, production-grade ML code
Nice-to-Haves
- Research experience applying new ML techniques to recruitment advertising use cases
About Joveo Ai
Joveo Ai builds an AI-driven recruitment advertising platform that processes millions of hiring decisions using machine learning, real-time bidding, and predictive analytics. The company’s technology helps employers find the right people faster and more fairly.
Scraped 4/15/2026