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Machine Learning Internship Microsoft Jobs in Georgetown, TX

Jobcertify

Data Analyst

Austin, TX · On-site

... Microsoft Azure and distributed computing technologies like Apache Spark Present results of ... Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn ...

Apple

Hardware Systems Engineering

Austin, TX

$122K - $161K/yr

MACHINE LEARNING AND AI Within Appleʼs Artificial Intelligence and Machine Learning organization ... Prior internship(s), group or personal project exposure, TA and/or work experience. This posting is ...

Apple

Hardware Systems Engineering

Austin, TX

$122K - $161K/yr

MACHINE LEARNING AND AI Within Appleʼs Artificial Intelligence and Machine Learning organization ... Prior internship(s), group or personal project exposure, TA and/or work experience. This posting is ...

Apple

Hardware Systems Engineering

Austin, TX · On-site

$122K - $161K/yr

MACHINE LEARNING AND AI Within Appleʼs Artificial Intelligence and Machine Learning organization ... Prior internship(s), group or personal project exposure, TA and/or work experience. This posting is ...

Apple

Hardware Systems Engineering

Austin, TX

$122K - $161K/yr

MACHINE LEARNING AND AI Within Appleʼs Artificial Intelligence and Machine Learning organization ... Prior internship(s), group or personal project exposure, TA and/or work experience. This posting is ...

Deloitte

Cyber - SecOps - Consultant

Austin, TX · On-site

Developing and applying analytics, machine learning, and data science techniques to cyber use cases ... Microsoft Azure * 1+ years of experience with security operations center threat hunting and ...

Deloitte

Finance Analytics & AI Senior Consultant

Austin, TX · On-site

$115K/yr

... machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments * Experience architecting generative and agentic ...

Deloitte

Finance Analytics & AI Senior Consultant

Austin, TX · On-site

$115K/yr

... machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments * Experience architecting generative and agentic ...

Deloitte

Cyber - SecOps - Consultant

Austin, TX · On-site

Developing and applying analytics, machine learning, and data science techniques to cyber use cases ... Microsoft Azure * 1+ years of experience with security operations center threat hunting and ...

Deloitte

Finance Analytics & AI Senior Consultant

Austin, TX · On-site

$115K/yr

... machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments * Experience architecting generative and agentic ...

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Advanced degrees are a plus. * 5 years of experience in data science and machine learning ... This role is not suitable for entry-level candidates or interns. Compensation: * $65.00 to $69.72 ...

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All JobsMachine Learning Microsoft JobsMachine Learning Internship Microsoft JobsMachine Learning Internship Microsoft Jobs in Georgetown, TX

Machine Learning Internship Microsoft information

See Georgetown, TX salary details

$23.7K

$39.6K

$81.8K

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

As of Aug 8, 2026, the average yearly pay for machine learning internship microsoft in Georgetown, TX is $39,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,200.00 and $42,700.00 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 job categories do people searching Machine Learning Internship Microsoft jobs in Georgetown, TX look for? The top searched job categories for Machine Learning Internship Microsoft jobs in Georgetown, TX are:
What cities near Georgetown, TX are hiring for Machine Learning Internship Microsoft jobs? Cities near Georgetown, TX with the most Machine Learning Internship Microsoft job openings:
Machine Learning Internship Microsoft jobs near you

Data Analyst

Jobcertify

Austin, TX • On-site

Full-time

Posted 22 days ago

Job description

We are looking for the right people people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the worlds largest providers of products and services to the global energy industry.

Job Description & Responsibilities:
Data Scientist under general supervision will perform data engineering, data modeling and model deployment.
Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights
Leverage common open-source Machine Learning/Deep Learning packages for identifying data patterns and/or building predictive models
Conduct statistical analysis to determine trends and significant data relationships
Keep up to date with latest Machine Learning and Artificial Intelligence advancements
Work with data engineers to design and construct data pipelines for reproducible analysis
Leverage cloud computing technologies like Microsoft Azure and distributed computing technologies like Apache Spark
Present results of analyses, including design of graphs, charts, tables, and other data visualizations

Qualifications:
Industry experience in predictive modeling, data science and analysis.
Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn and cloud computing platforms like Azure.
Experience handling terabyte size datasets, diving into data to discover hidden patterns and using data visualization tools.
Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.
Demonstrated teamwork, strong communication skills, and collaborative in complex engineering projects.
Completion of an undergraduate degree in STEM. Master's degree in STEM is preferred.

Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs.

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