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Machine Learning Internship Microsoft Jobs in Alabama

Deploy

Data, Analytics & AI Engineer

Birmingham, AL

$107K - $128K/yr

Leverage Azure AI services and Microsoft Fabric capabilities including notebooks, machine learning, and real-time analytics. Champion responsible AI adoption across the organization. Identify ...

Pwc

AI Engineer

Birmingham, AL · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Teamwass

Fall 2026 Internship - Social Impact

Montevallo, AL · On-site +1

$14.75 - $19/hr

We offer our people multiple learning and development programs throughout the world. What we do is ... Experience with Microsoft Office, PowerPoint & Canva Education and Experience Requirements: * In ...

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Machine Learning Internship Microsoft information

What is a machine learning internship at Microsoft?

A Machine Learning Internship at Microsoft is a temporary position for students or recent graduates to gain hands-on experience working on real-world machine learning projects. Interns collaborate with experienced engineers and researchers to develop, test, and deploy machine learning models and solutions that impact Microsoft products and services. The internship typically involves working with large datasets, implementing algorithms, and contributing to team goals while learning about cutting-edge AI technologies. Interns also benefit from mentorship, networking opportunities, and exposure to the latest industry practices.

What types of projects do interns typically work on during a machine learning internship at Microsoft?

As a Machine Learning intern at Microsoft, you can expect to work on impactful, real-world projects that contribute to ongoing products or research initiatives. Interns often collaborate with data scientists, software engineers, and product teams to develop, test, and refine machine learning models for applications such as natural language processing, computer vision, or recommendation systems. You'll likely participate in code reviews, present your findings, and receive mentorship from experienced professionals, all within a collaborative and innovative environment. These projects not only enhance technical skills but also provide valuable exposure to large-scale, industry-leading systems.

What are the key skills and qualifications needed to thrive as a machine learning intern at Microsoft, and why are they important?

To thrive as a Machine Learning Intern at Microsoft, you need a solid foundation in mathematics, programming (especially Python), and machine learning concepts, typically supported by coursework or related projects. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms like Azure are often expected. Strong problem-solving skills, curiosity, and effective communication help you collaborate with team members and present findings. These skills are crucial for contributing to innovative projects and translating complex data-driven insights into impactful solutions within a dynamic tech environment.

What is the difference between Machine Learning Internship Microsoft vs Data Science Internship Microsoft?

AspectMachine Learning Internship MicrosoftData Science Internship Microsoft
Required SkillsProgramming, ML algorithms, Python, TensorFlowStatistics, data analysis, Python, SQL
Work EnvironmentResearch and development teams focused on ML modelsData analysis and visualization teams
Industry UsageAI and ML product developmentBusiness insights and data-driven decision making

Both internships are highly competitive roles at Microsoft, often requiring programming skills and relevant coursework. Machine Learning Internships focus on developing and deploying ML models, while Data Science Internships emphasize analyzing data to generate insights. Candidates should review the specific role descriptions to align their skills accordingly.

What are popular job titles related to Machine Learning Internship Microsoft jobs in Alabama?

For Machine Learning Internship Microsoft jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Machine Learning Internship Microsoft jobs in Alabama look for?

The top searched job categories for Machine Learning Internship Microsoft jobs in Alabama are:

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Cities in Alabama with the most Machine Learning Internship Microsoft job openings:

Machine Learning Internship Microsoft jobs near you

Systems Engineer - Modeling and Algorithms

WILLCOR Inc

Huntsville, AL • On-site

Full-time

Re-posted 15 days ago

Job description

Job Title: Systems Engineer - Modeling and Algorithms
Location: Huntsville, Alabama
Clearance: Secret
Salary: Negotiable
Job Overview:
The Systems Engineer Modeling and Algorithms will be responsible for overseeing and actively contributing to high-visibility design projects and digital simulation testing. 
Key Responsibilities:
  • Conduct research on design, testing, and the application of software and data processing algorithms in ASE products.
  • Collaborate with vendors to review algorithm design, implementation, and testability.
  • Provide constructive feedback to vendors regarding algorithm design and implementation.
  • Serve as a liaison with external Subject Matter Experts to assess algorithm performance.
  • Execute Digital System Models (DSM) and other simulations to evaluate system capabilities and performance.
  • Support validation and verification of performance requirements using DSM and other modeling tools.
  • Work closely with the test team to analyze and validate field data through DSM and simulations.
  • Design, develop, and modify software systems by applying scientific analysis and mathematical models to predict and measure design outcomes.
  • Review vendor algorithm designs and associated deliverables.
  • Create, maintain, and review Algorithm Description Documentation (ADD).
  • Develop scripts and tools to automate or enhance testing processes, including modifications to DSM or other test tools.
  • Understand and implement machine learning (ML) concepts, methodologies, and technologies.
Required Qualifications:
  • Bachelor's degree with 12+ years of experience, Master's degree with 10+ years of experience, or a Ph.D. with 7+ years of experience
  • Proficiency in creating, executing, and utilizing DSMs or simulations for system performance modeling.
  • In-depth knowledge of machine learning (ML) methodologies and their implementation.
  • Ability to work effectively in a dynamic team environment while managing multiple priority tasks.
  • Proficiency in Microsoft Office applications.
  • Strong programming skills in C, C++, and Python.
  • Ability to work regularly from the customer facility.
Preferred Qualifications:
  • Experience working in a DoD acquisition project management office is advantageous.
  • Experience with software or systems design for DoD systems.
  • A background in modeling, simulation, algorithm design, testing, data science/analysis, or machine learning is highly desirable.
This role offers a unique opportunity to engage with cutting-edge technology and collaborate with industry experts on high-impact projects in a dynamic environment.
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About WILLCOR

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

11 - 50 Employees

Headquarters location

College Park, MD, US

Year founded

2002

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