Remote ML Engineer — Pipelines, Evaluation & Impact

Greenhouse Software, Inc.; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

40 paid days off

Remote work from anywhere in the world

Competitive salary and bonuses

Job summary

Eqvilent is seeking an ML Engineer to help build a system that validates data and ML models. The candidate should be intelligent, contemplative, and composed, diving deeply into code with attention to detail.

You will develop and maintain data pipelines for training and evaluating models, perform exploratory data analysis to improve accuracy, and run experiments to identify and address issues while working remotely with a global team.

Qualifications

• Strong experience in machine learning.
• Experience in developing and deploying ML pipelines and workflows, including data preprocessing, feature engineering, model training, and evaluation.
• Strong analytical and problem-solving skills, as well as attention to details.

Responsibilities

• Develop and maintain data pipelines for training and evaluating models.
• Conduct exploratory data analysis to improve model accuracy and performance.
• Experiment and evaluate machine learning models to identify and address issues.

Job description

Eqvilent is seeking an ML Engineer to help build a system that validates data and ML models. The candidate should be intelligent, contemplative, and composed, diving deeply into code with attention to detail.

You will develop and maintain data pipelines for training and evaluating models, perform exploratory data analysis to improve accuracy, and run experiments to identify and address issues while working remotely with a global team.