> Markdown version of [/jobs/ext/2826329-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2826329-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** TALENTHOP LLC - **Location:** United States (Remote available) - **Salary:** $150,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Nvidia CUDA, Information Leak Prevention, Python (Programming Language), Machine Learning, NumPy, Raw Data, Reinforcement Learning, Data Processing, Pytorch, Large Language Models, Deep Learning, Model Validation, Hardware Infrastructure - **Published:** September 10, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pj24mcek9l ## About the Role * Strong understanding 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. * Experience setting up and maintaining small-scale GPU infrastructure, including CUDA, containers, storage, and monitoring. * Ability to work effectively with time-ordered data and implement appropriate validation techniques to prevent data leakage. * Ability 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. ## Description The Machine Learning Engineer develops AI-driven market models from research concepts through production deployment. Reporting to a senior researcher, this role transforms research ideas into actionable models that run daily and support trading decisions. The position provides an opportunity to contribute to quantitative research while growing through demonstrated technical and research results. Responsibilities: * 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. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Bringing Clarity to Event Streams: Enabling Analytics and AI Through Rich Metadata](https://www.wearedevelopers.com/videos/1616-bringing-clarity-to-event-streams-enabling-analytics-and-ai-through-rich-metadata) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)