Are you a seasoned machine learning engineer looking for a new challenge? Mercor, a leading AI research initiative, is seeking experienced professionals to contribute to a multi-step pilot project focused on benchmarking and enhancing model performance and training speed across various machine learning tasks.
As a machine learning engineer, you’ll be responsible for drafting detailed, executable natural language plans to address ML-related Kaggle competition tasks, implementing those plans in Python code within a provided Docker environment, and validating implementations against original plans.
If you have 3+ years of experience in applied machine learning or MLE roles, strong Python engineering skills, and a detail-oriented approach to technical planning and code validation, this could be the perfect opportunity for you.
The project is ideal for professionals interested in reproducible ML research and benchmarking AI model development pipelines. Plus, you’ll have the chance to work independently under strict compliance constraints.
If you’re interested in learning more, check out the job listing and apply today!