Machine Learning Engineer

Overview

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.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

The target start date range for this role is May-September 2026.

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.

Qualifications

Required Qualifications

• 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.

Preferred Qualifications

• 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, Tensor Flow).
• Understanding of ML and GenAI fundamentals (e.g., supervised learning, evaluation metrics, overfitting/under fitting, 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.

#EiP #IC2

SWE

Software Engineering IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $109,000 - $180,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
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This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.

If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.