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> 📍 **Location:** Remote (Work from Anywhere) > 💼 **Job Type:** Part-Time > 💰 **Payout:** Competitive, based on experience --- ## Role Overview We are hiring on behalf of a global leader in the Technology, Information, and Internet industry for **ML Engineers** to join an **MLE Bench** project on a part-time basis. This role involves hands-on work with production-grade ML codebases, model training, evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of **frontier AI systems**. The ideal candidate bridges research and engineering, working deeply with models, data, and infrastructure in realistic ML environments alongside top AI researchers and engineers. --- ## Key Responsibilities * **Benchmarking & Evaluation:** Work with real-world ML codebases to support MLE Bench–style evaluation tasks. * **Pipeline Management:** Build, execute, and modify model training, evaluation, and inference pipelines. * **Data Preparation:** Prepare datasets, features, and evaluation metrics for ML benchmarking and validation. * **Codebase Refactoring & Optimization:** Debug, refactor, and improve production-like ML systems for correctness, stability, and performance. * **Model Diagnostics:** Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. --- ## Required Skills & Qualifications * **Experience:** **3+ years** of overall experience as a Machine Learning Engineer or ML-focused Software Engineer. * **Programming:** Strong proficiency in **Python** for machine learning and data workflows. * **ML Pipelines:** Hands-on experience building and modifying model training, evaluation, and inference pipelines. * **Core Fundamentals:** Solid understanding of machine learning fundamentals (supervised/unsupervised learning, metrics, optimization). * **Frameworks:** Hands-on experience with major ML frameworks such as **PyTorch** or **TensorFlow**. --- ## About the Client & Hiring Process * **Opportunity:** Contribute directly to the development and evaluation of cutting-edge frontier AI systems. * **Equal Opportunity Employer:** Hiring decisions are based solely on technical ability, demonstrated skills, and relevant qualifications regardless of background.