ML инженер
генерация резюме под вакансию
сопроводительное письмо
описание
The company provides recruitment services for a global leader in the technology, information, and internet industry, focusing on the development and evaluation of frontier AI systems.
задачи
- 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.
требования
- 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);
- Nice to have: Experience bridging research and engineering, working deeply with models, data, and infrastructure.
условия
- No conditions specified
навыки
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