Machine learning engineer - recommendation systems | $ 60k-70k

Role Overview:
Seeking a Data Scientist to operate at the intersection of classical machine learning, large-scale recommendation systems, and modern agentic AI. Build and deploy intelligent systems for personalized user experiences and next-gen autonomous AI workflows.
Key Responsibilities:
- Design, develop, and maintain large-scale recommendation systems using ML, deep learning, ranking algorithms, and statistical modeling.
- Operate ML models on high-volume, diverse datasets for personalization, prediction, and content understanding.
- Develop rapid experimentation workflows to validate hypotheses and measure impact.
- Own data preparation, model training, evaluation, and deployment pipelines in collaboration with engineering teams.
- Monitor model performance and identify drifts, failure modes, and optimization opportunities.
- Build and experiment with agentic AI systems that autonomously tune policies, orchestrate ML workflows, and improve system performan...