<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <strong>About The Job<br/><br/></strong><strong>Mercor</strong> connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include <strong>Benchmark</strong>, <strong>General Catalyst</strong>, <strong>Peter Thiel</strong>, <strong>Adam D'Angelo</strong>, <strong>Larry Summers</strong>, and <strong>Jack Dorsey</strong>.<br/><br/><strong>Position:</strong> Machine Learning Engineer Expert<br/><br/><strong>Type:</strong> <strong>Contract<br/><br/></strong><strong>Compensation:</strong> <strong>$90/hour<br/><br/></strong><strong>Location:</strong> <strong>Remote<br/><br/></strong><strong>Role Responsibilities<br/><br/></strong><ul><li>Develop end-to-end machine learning solutions for challenging prediction and modeling problems.</li><li>Analyze datasets and define appropriate modeling approaches, validation strategies, and evaluation metrics.</li><li>Perform exploratory data analysis, feature engineering, and data preprocessing.</li><li>Train, tune, and evaluate machine learning models across tabular, text, image, and time-series datasets.</li><li>Review and validate the technical quality of machine learning projects and deliverables.</li><li>Identify opportunities to improve model performance through systematic experimentation and iteration.<br/><br/><br/></li></ul><strong>Qualifications<br/><br/></strong><strong>Must-Have<br/><br/></strong><ul><li>Master's degree or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Electrical Engineering, or a related field from a top-tier university.</li><li>2+ years of professional experience in machine learning, applied AI, data science, or a closely related field.</li><li>Strong proficiency in Python and modern machine learning frameworks (e.g., scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow).</li><li>Demonstrated experience building end-to-end machine learning solutions, including data preparation, model development, validation, and evaluation.</li><li>Strong understanding of model evaluation metrics, validation methodologies, and experimental design.</li><li>Experience with one or more of the following areas: tabular machine learning, natural language processing, computer vision, recommendation systems, ranking systems, time-series forecasting.</li><li>Ability to work independently on open-ended machine learning problems and deliver high-quality technical outputs.<br/><br/><br/></li></ul><strong>Preferred<br/><br/></strong><ul><li>PhD from a leading research university.</li><li>Experience at leading technology companies, AI labs, research institutions, or high-growth startups.</li><li>Participation in competitive machine learning or data science competitions.</li><li>Experience optimizing models against performance-based evaluation metrics.</li><li>Familiarity with advanced techniques such as ensembling, hyperparameter optimization, transfer learning, foundation model fine-tuning, or reinforcement learning.</li><li>Publications, patents, or significant open-source contributions in machine learning or AI.</li><li>Experience reviewing, mentoring, or evaluating the work of other machine learning practitioners.<br/><br/><br/></li></ul><strong>Application Process (Takes 20–30 mins to complete)<br/><br/></strong><ul><li>Upload resume</li><li>AI interview based on your resume</li><li>Submit form<br/><br/><br/></li></ul><strong>Resources &amp; Support<br/><br/></strong><ul><li>For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome</li><li>For any help or support, reach out to: support@mercor.com<br/><br/><br/></li></ul><em>PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</em> </div>