Machine Learning Engineer
Microsoft is a leading technology company, and they are seeking a Machine Learning Engineer to contribute to the development of reliable and measurable ML capabilities. The role involves understanding ML requirements, preparing data, training models, and integrating them into products and services.
Responsibilities
- Implements data preprocessing steps, baseline models, and evaluation approaches under supervision
- Contributes small, well-defined components of ML workflows (e.g., dataset preparation, training utilities, evaluation scripts) with guidance
- Supports integration of ML models into existing systems and services, coordinating with engineering partners as needed
- Follows established practices for reproducibility, logging, monitoring, and secure development throughout the ML lifecycle
- Collaborates with teammates and partner teams to validate end-to-end functionality prior to release
- Learns and applies team processes related to security, privacy, accessibility, and responsible AI in day-to-day work
Skills
- Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
- Master's Degree in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 1+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
- Proficiency in one programming language (Python preferred) and common ML libraries (e.g., scikit-learn, PyTorch, TensorFlow)
- Understanding of ML and GenAI fundamentals (e.g., supervised learning, evaluation metrics, overfitting/underfitting, regularization, embeddings, tokenization, transformers)
- Ability to manipulate structured and unstructured data (e.g., pandas, SQL)
- Familiarity with Git, code reviews, testing, and debugging in a collaborative environment
- Interest in learning deployment patterns, monitoring/observability, and responsible AI practices
Company Overview
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