Applied ML Researcher - Fully Remote
Core
Develop end-to-end machine learning solutions for challenging prediction and modeling problems across tabular, text, image, and time-series datasets.
Role type
Machine Learning Engineer Expert (Contract)
Builds
End-to-end ML solutions for prediction and modeling problems
Domain
Applied AI / Data Science
Deliverable
production ML models
Required skills
Python, scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, data preprocessing, feature engineering, model evaluation, experimental design
Preferred skills
ensembling, hyperparameter optimization, transfer learning, foundation model fine-tuning, reinforcement learning
Technologies
scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow
Responsibilities
Develop end-to-end machine learning solutions; Analyze datasets and define modeling approaches; Perform exploratory data analysis and feature engineering; Train, tune, and evaluate ML models; Review and validate technical quality of ML projects; Identify opportunities to improve model performance
Seniority
Mid-level (2+ years experience)