> Markdown version of [/jobs/ext/4293220-machine-learning-researcher-remote](https://www.wearedevelopers.com/jobs/ext/4293220-machine-learning-researcher-remote). 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 Researcher - Remote - **Company:** Yo Labs Inc. - **Location:** New York, NY, United States (Remote available) - **Contract:** Contract - **Skills:** Artificial Intelligence, Command-Line Interface, Software Debugging, Memory Management, Python (Programming Language), Machine Learning, Open Source Technology, Performance Tuning, AI Coding Agents, Numerical Computing, Information Technology, Data Pipelines - **Published:** October 30, 2026 - **Apply:** https://www.careerjet.com/jobad/us3df82a62e1699e88c9843f5cbc85324f ## About the Role Required Qualifications * Master's degree or PhD in Computer Science, Machine Learning, AI, Applied Mathematics, Statistics, Engineering, or a related field. * Strong professional or research experience in machine learning. * Practical proficiency in Python and coding agents. * Experience with model development, training workflows, and performance optimization. Experience at established technology companies, AI labs, research organizations, or through exceptional academic and open-source work is preferred., * Immediate availability is preferred. * Selected candidates should begin their first task within 24-48 hours after onboarding. ## Description We are seeking skilled Machine Learning Researchers to contribute to an AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a highly coding-intensive role requiring strong Python skills and practical experience using coding agents. Key Responsibilities * Develop and validate machine-learning models and training pipelines. * Implement model components, data pipelines, and evaluation systems. * Build reproducible workflows using Python and command-line tools. * Debug technical issues and optimize memory usage, throughput, and performance. * Review and validate implementations against defined requirements.