Machine Learning Engineer

Job Summary

To support the development of a workforce intelligence platform, the full-time Machine Learning Engineer will train and evaluate machine learning models on real-world data, build predictive models, and integrate them into production systems while working remotely.

Key responsibilities

• Train, fine-tune, and evaluate machine learning models on workflow and behavioral data
• Build predictive models for task outcomes, productivity trends, and workflow optimization
• Design and maintain feature pipelines, training loops, and evaluation frameworks

Required qualifications

• Strong foundation in Python and applied machine learning
• Experience training supervised and self-supervised models
• Hands-on experience with model fine-tuning, evaluation, and deployment workflows
• Comfortable working end-to-end from raw data through training to production inference
• Pragmatic and experimental approach with a focus on shipping working models