Machine Learning Engineer

TalentHop - United States

Hiring: Machine Learning Engineer Company: TalentHop Location: United States Job Posted Time: 2026-09-17 07:25:38 Target Skills & Keywords : AI, Deep Learning, Machine Learning, NumPy, Pandas, PyTorch, Python, Reinforcement Learning About the job Required Skills: •Develop and implement deep learning models using market data, progressing from baseline approaches to production-ready systems. •Manage the end-to-end machine learning workflow, from raw data collection and preparation through model development and results used for trading decisions. •Set up and maintain compute environments using local GPU hardware or cloud instances while ensuring stable and cost-effective operation. •Conduct rigorous model evaluation using leakage-resistant validation and regime-aware testing methodologies. •Review, reproduce, and critically evaluate recent research in foundation models, time-series analysis, and reinforcement learning. •Leverage modern AI tools to improve efficiency across coding, data processing, research, and literature review. Qualifications: •In-depth knowledge of deep learning fundamentals, including optimization, regularization, sequence models, and attention mechanisms. •Proficiency in Python and PyTorch, with strong experience using NumPy and pandas for data manipulation and analysis. •Demonstrated capacity to work effectively with time-ordered data and implement appropriate validation techniques to prevent data leakage. •Demonstrated capacity to reproduce and critically assess academic and technical research papers. •Demonstrated experience or personal projects involving the independent development and deployment of machine learning models. •Strong self-direction, problem-solving skills, and ability to work remotely with minimal supervision. •Annual compensation range of $150,000–$200,000, plus bonus. Compensation: •$150,000 - $200,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!