Job Description

As a Machine Learning Engineer at Microsoft, you will work on delivering reliable machine learning capabilities, preparing data, training models, and evaluating results. This role offers the opportunity to grow your skills in ML workflows and engineering practices while contributing to a culture of inclusion and collaboration.

Requirements

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.

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.

Benefits

Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.