About the role
Eqvilent is hiring an ML Engineer to help build a system that validates data and machine learning models. The work includes developing and maintaining pipelines for model training and evaluation, exploring datasets and carrying out experiments to identify issues that affect model accuracy and performance. The company emphasizes careful investigation, attention to detail and thoughtful work with code.
Applicants should bring strong machine learning experience and experience developing and deploying ML pipelines, including preprocessing, feature engineering, training and evaluation. The advertisement explicitly permits remote work from anywhere in the world and offers access to global offices. It mentions competitive compensation and performance bonuses without publishing a salary range. The source does not establish a specific seniority band.
Highlights
- Build pipelines for training and evaluating models.
- Investigate data quality and model performance issues.
- Work globally with forty paid days off advertised.
This recap is dataskew's editorial summary, not the company's copy.