Machine Learning Engineer Job at Microsoft Corporation (Multiple Locations)

Machine Learning Engineer

Microsoft Corporation

Location:
Mexico , Multiple Locations

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Come build community, explore your passions, and do your best work at Microsoft while helping a team deliver machine learning (ML) capabilities that are reliable, measurable, and ready to integrate into real products and services. This opportunity will allow you to bring your aspirations, talent, potential and excitement for the journey ahead. As a Machine Learning Engineer (MLE), you will contribute—under guidance and with support from teammates—to understand ML requirements for a feature, prepare data, train baseline models, and evaluate results using standard metrics. This opportunity will allow you to grow your skills in ML workflows, model integration, and engineering practices that support security, privacy, accessibility, and responsible AI.

Job Responsibility:

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

Requirements:

Master'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
Proficiency to speak, write and read in English language
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

Additional Information:

Job Posted:
February 04, 2026

Employment Type:

Fulltime

Work Type:

Remote work

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