ML Engineer

The client operates as a global leader in the technology, information, and internet industry, focusing on the development and evaluation of frontier artificial intelligence systems.

• Work with real-world ML codebases to support MLE Bench–style evaluation tasks;
• Build, run, and modify model training, evaluation, and inference pipelines;
• Prepare datasets, features, and metrics for ML benchmarking and validation;
• Debug, refactor, and improve production-like ML systems for correctness and performance;
• Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks.

• Minimum 3+ years of overall experience as a machine learning engineer or software engineer (ML-focused);
• Strong proficiency in Python for machine learning and data workflows;
• Hands-on experience with model training, evaluation, and inference pipelines;
• Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization);
• Experience working with ML frameworks (e.g., PyTorch, TensorFlow).

• Part-time.