Machine Learning Engineer Expert

Hourly contract | Remote | $90/hr • Role Overview We re hiring experienced Machine Learning Engineers and Applied ML Researchers to design, solve, and evaluate complex machine learning challenges that reflect real-world ML workflows. This role requires strong hands-on modeling expertise, the ability to develop high-quality reference solutions, and deep familiarity with modern machine learning techniques across a variety of domains and data modalities. 3. Required Qualifications • What You ll Do • Develop end-to-end machine learning solutions for challenging prediction and modeling problems • Analyze datasets and define appropriate modeling approaches, validation strategies, and evaluation metrics • Perform exploratory data analysis, feature engineering, and data preprocessing • Train, tune, and evaluate machine learning models across tabular, text, image, and time-series datasets • Develop strong reference solutions using industry-standard machine learning techniques and best practices • Review and validate the technical quality of machine learning projects and deliverables • Document methodologies, assumptions, and evaluation results in a clear and reproducible manner • Identify opportunities to improve model performance through systematic experimentation and iteration • Master s degree or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Electrical Engineering, or a related field from a top-tier university • 2+ years of hands-on experience developing, training, evaluating, and optimizing machine learning models in a professional or research setting. • Strong proficiency in Python and modern machine learning frameworks (e.g., scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow) • Demonstrated experience building end-to-end machine learning solutions, including data preparation, model development, validation, and evaluation • Strong understanding of model evaluation metrics, validation methodologies, and experimental design • Ability to work independently on open-ended machine learning problems and deliver high-quality technical outputs Experience With One Or More Of The Following Areas • Tabular machine learning • Natural language processing • Computer vision • Recommendation systems • Ranking systems • Time-series forecasting 1. Preferred Qualifications • PhD from a leading research university • Experience at leading technology companies, AI labs, research institutions, or high-growth startups • Participation in competitive machine learning or data science competitions • Experience optimizing models against performance-based evaluation metrics • Familiarity with advanced techniques such as ensembling, hyperparameter optimization, transfer learning, foundation model fine-tuning, or reinforcement learning • Publications, patents, or significant open-source contributions in machine learning or AI • Experience reviewing, mentoring, or evaluating the work of other machine learning practitioners • We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Contract and Payment Terms • You will be engaged as an independent contractor. • This is a fully remote role that can be completed on your own schedule. • Projects can be extended, shortened, or concluded early depending on needs and performance. • Your work will not involve access to confidential or proprietary information from any employer, client, or institution. • Payments are weekly on Stripe or Wise based on services rendered. • Please note: We are unable to support H1-B or STEM OPT candidates at this time.