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Machine Learning Internship Microsoft Jobs in Lafayette, LA

Customer Care Center Agent

Branch, LA

$12.75 - $16.50/hr

Experience utilizing AI-powered tools such as Microsoft Copilot, ChatGPT, Gemini, or similar ... machine learning applications. COMMUNITY IMPACT Community involvement is part of who we are. Our ...

Counter Sales Associate

Lafayette, LA · On-site

$15.25 - $19/hr

Commercial ice machines * Super-automatic coffee equipment * Beverage dispensing systems * Water ... Proficiency in Microsoft Office or similar productivity tools. * A valid driver's license is ...

... machine systems and components. This involves travel to customer sites worldwide (land and offshore ... in learning computer software programs including but not limited to Microsoft Word, Excel, and ...

Machine Learning Internship Microsoft information

See Lafayette, LA salary details

$24.4K

$40.7K

$84K

How much do machine learning internship microsoft jobs pay per year?

As of Aug 15, 2026, the average yearly pay for machine learning internship microsoft in Lafayette, LA is $40,667.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,000.00 and $43,900.00 per year, depending on experience, location, and employer.

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 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 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 are popular job titles related to Machine Learning Internship Microsoft jobs in Lafayette, LA?

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

What job categories do people searching Machine Learning Internship Microsoft jobs in Lafayette, LA look for?

The top searched job categories for Machine Learning Internship Microsoft jobs in Lafayette, LA are:

What cities near Lafayette, LA are hiring for Machine Learning Internship Microsoft jobs?

Cities near Lafayette, LA with the most Machine Learning Internship Microsoft job openings:

BOSS Computer Sci Instructor

Charter Schools USA

Lafayette, LA • On-site

Full-time

Re-posted 6 days ago


Charter Schools USA rating

6.7

Company rating: 6.7 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

335th of 631 rated elementary and secondary schools


Job description

Who We Are
Charter Schools USA (CSUSA) is one of the largest and highest performing education management companies in the United States, proudly serving over 82,000 students in over 150 schools in four states. Founded by Jonathan Hage in 1997, CSUSA's mission is a Relentless Commitment to Student Greatness in School and in Life™. CSUSA provides an academically rigorous education to students equipping them with real world readiness, prepared for college or career after graduation. With an unwavering dedication to the success of students from every background, CSUSA is closing the gaps in achievement and opportunity, keeping our promise of Strong Minds, Good Hearts™.
Job Purpose
To join a team of people with the mission: Relentless Commitment to Student Greatness in School and in Life ™. If you love inspiring and motivating young learners and want to put students first in education, CSUSA is the right place for you. We deliver on our promise of Strong Minds, Good Hearts™ through an education model that gives every student the opportunity for success. As a BOSS Computer Science Instructor, you will design and deliver instruction aligned with the Louisiana K--12 Student Standards for Computer Science, preparing students with essential computing, problem-solving, and digital literacy skills.
How You Will Impact Education
You will develop and implement instructional plans aligned to Louisiana CS standards, delivering engaging curriculum that supports graduation requirements while assessing student progress and fostering a safe and inclusive learning environment. Your instruction will incorporate cybersecurity, digital citizenship, and AI literacy--helping students understand emerging concepts such as machine learning, data-driven technologies, and the ethical use of artificial intelligence. You will integrate nationally recognized Computer Science standards, including the CSTA K--12 Computer Science Standards, which outline core learning objectives introducing fundamental computing principles, presenting rigorous secondary-level CS content, and expanding access to high-quality computer science education for all students. These standards emphasize computing systems, networks and the internet, data and analysis, algorithms and programming, and the impacts of computing. Instruction will also reflect ISTE-aligned practices that promote digital citizenship, computational thinking, empowered technology use, and responsible engagement with intelligent digital tools, ensuring students develop the skills, habits, and critical thinking necessary to thrive as creative problem-solvers in a technologically advanced world.
Required Qualifications and Skills
Knowledge of computing systems, networks, algorithms, programming, and cybersecurity; ability to design standards-aligned instruction; strong communication and classroom management; proficiency with educational technology.
To support high-quality CS instruction, candidates may also hold or be willing to obtain recognized technology and computer science certifications, such as:
  • CompTIA ITF+, CompTIA A+, CompTIA Network+, or CompTIA Security+ (validates foundational computing, networking, and cybersecurity knowledge)
  • Microsoft Certified Educator (MCE) or Microsoft Technology Associate (MTA) (where applicable)
  • Google Educator Level 1 or 2 (for effective instructional technology integration)
  • Apple Teacher Certification
  • STE Certified Educator (aligned to ISTE's professional standards)
  • AWS Cloud Practitioner or Google Cloud Digital Leader (for cloud computing fundamentals)
  • AI-related micro-credentials, such as AI literacy badges, ethical AI certifications, or educational AI integration programs from recognized technology-education providers

Candidates should demonstrate a commitment to ongoing professional learning aligned with current CS and AI instructional practices, emerging technologies, and the evolving national K--12 CS landscape.
Works and interacts with staff and relates to individuals at all levels of the organization; relates to individuals at all levels. As unique situations present themselves, the incumbent must be sensitive to corporate needs, employee goodwill, and the public image.
  • Strong time management & organizational skills and the ability to prioritize wisely.
  • Ability to establish and maintain effective working relationships with teachers, students, parents, the community, and administrative staff.
  • Establish excellent interpersonal skills between all constituents: being courteous, professional, and helpful; Oral (including presentations), Written, Interpersonal (active listening), Negotiating and Influencing.
  • Ability to consistently be at work, be on time, follow instructions, respond to management direction, and solicit feedback to improve performance.
  • Proficient experience with Microsoft Office (Word, Excel, PowerPoint), Student Information System (SIS).
  • Strong student orientation.
  • Proactive and takes initiative. Thinks creatively. Drives projects to completion. Insists on highest level of quality.
  • Such alternatives to the above requirements as CSUSA may find appropriate and acceptable.

Job Requirements
The candidate must hold a bachelor's degree from an accredited college or university or possess an equivalent combination of education and experience. A valid teaching certification is required, along with a demonstrated commitment to the values of the organization. The candidate must also meet Louisiana state requirements, including holding a Louisiana teaching certification and, when applicable, a computer science certification for teaching Computer Science I and II, while demonstrating strong technology proficiency and a commitment to ongoing professional learning. CSUSA may consider alternatives to these qualifications when appropriate and acceptable. The individual must also be prepared to perform other duties as assigned.
The ideal candidate should have previous experience in virtual teaching or online education environments, demonstrating the ability to effectively engage students in a digital setting. They must exhibit strong technical skills, including proficiency with a variety of educational technologies such as learning management systems (LMS), video conferencing tools, and online assessment platforms. Excellent verbal and written communication skills are essential for successful interaction with students, parents, and colleagues, and strong interpersonal skills are needed to build rapport and foster an inclusive, supportive virtual learning environment. The candidate should also possess strong organizational skills to manage multiple classes, track student progress, and meet important deadlines. A commitment to ongoing professional development is expected, particularly in staying current with evolving educational best practices and emerging technology.
In managing virtual classroom environments, the candidate should be prepared to implement best practices such as establishing clear expectations for behavior and participation, actively engaging students through interactive activities and multimedia resources, and maintaining consistency by creating predictable routines. They should be adept at leveraging technology tools within the LMS to enhance interaction--such as chat functions, screen sharing, and virtual whiteboards--and should regularly monitor student participation to identify learners who may need additional encouragement or support. Providing timely, constructive feedback is essential to help students track their progress, while creating a positive atmosphere fosters open communication, collaboration, and mutual respect.
The role also requires effective communication with parents in an online setting, including providing regular updates about student progress, upcoming assignments, and important deadlines through email or designated communication platforms. The instructor should be comfortable hosting virtual meetings--whether one on one or in small groups--to discuss student performance and address concerns, while encouraging open dialogue that invites parents to share insights or ask questions. Supplying resources that support at home learning, such as guides for using the LMS or links to educational websites, is also an important part of maintaining strong family engagement.
To enhance the virtual learning experience, the instructor should be skilled in using tools such as learning management systems like Google Classroom, Canvas, or Schoology to organize materials and facilitate communication; interactive whiteboards such as Jamboard or Miro to support collaborative learning; and video conferencing applications like Zoom, Microsoft Teams, or Webex to create engaging live sessions. Additionally, they should utilize assessment tools such as Kahoot!, Quizizz, or Nearpod to design interactive quizzes and checks for understanding. The individual may also be required to perform other duties as assigned.
Work Environment
While performing the responsibilities of this position, the work environment characteristics listed below are representative of the environment the employee will encounter:
  • Usual schools working conditions.
  • May be noisy during high student traffic Classroom environment using technology, lab equipment, and collaborative spaces; may require after-school or evening events.

Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
May need to stand or sit for extended periods, operate technology, lift up to 20 pounds occasionally and 10 pounds frequently.
FLSA Overtime Category
Job is exempt from the minimum wage and overtime provisions of the Fair Labor Standards Act.

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