Machine Learning Engineering Intern Summer 2027

Siemens; Raleigh (NC); Hybrid; USD 40,000 - 47,000; Full time

Benefits offered by this job

401K program

Job summary

Siemens is hiring a Machine Learning Engineering Intern who is currently enrolled in a master's program. You will work with ML engineers to build, evaluate, and ship ML systems that improve asset and operation insights.

This 10-week Summer Internship runs from May 2027 to August 2027, with remote work within the United States and an onsite first week in Raleigh, NC. The role requires strong Python skills, foundational ML math, and the ability to articulate complex ideas in writing and speech.

Qualifications

• Must be enrolled in a master's degree for the full duration of the internship.
• At least one of: professional software engineering experience, a related bachelor's degree, or a certified coding program.
• Working proficiency in Python.
• Foundational mathematics for ML: linear algebra, probability, statistics.
• Ability to clearly explain complex arguments in writing and conversation.

Responsibilities

• Build and maintain data pipelines that clean, label, and prepare datasets for model training.
• Train, fine-tune, and evaluate machine learning models, and write clear reports on what worked and why.
• Design evaluation methods and test cases that expose where a model's reasoning breaks down.
• Write production-quality Python code, with tests and code review, that ships alongside our engineering team.
• Help deploy and monitor models, tracking accuracy, drift, and failure cases after launch.
• Present your work to the team in a final project showcase at the end of the internship.

Skills

Python

Critical thinking

Communication

Portfolio

Git

SQL

Linux

PyTorch

TensorFlow

scikit-learn

Education

Master's degree enrollment

Bachelor's degree in Engineering/Philosophy/Math or related logic-focused discipline

Tools

GitHub

PyTorch

TensorFlow

scikit-learn

Linux

SQL

Job description

At Siemens, we help organizations transform maintenance and operations through connected insights, AI-powered technology, and intelligent asset management solutions. Our software enables customers to manage the full lifecycle of assets, facilities, and infrastructure while improving efficiency, reducing risk, and optimizing long-term investments. By connecting data, people, and processes, we empower organizations to make smarter decisions, maximize asset performance, and achieve more resilient operations.

Description:

We're hiring a Machine Learning Engineering Intern who is currently enrolled in a master's program and brings rigorous, logic-driven thinking. You'll work alongside our ML engineers to build, evaluate, and ship machine learning systems that help customers get more from their assets and operations.

We believe some of the best ML engineers reason like philosophers, engineers, and theologians: they define terms carefully, test assumptions, and follow an argument to its conclusion. This internship is built for people who think that way and have already started writing software.

This 10-week Summer Internship will last between May 2027 and August 2027.

Location:

This position is remotely based within the United States.

However, to facilitate onboarding and establish key relationships with the team, the successful candidate will be required to attend their first week of employment onsite in Raleigh, NC. Following onboarding, the role will be fully remote.

Qualified Applicants must be legally authorized for employment in the United States and will not require employer sponsored work authorization now or in the future for employment in the United States.

You'll make an impact by:

• Build and maintain data pipelines that clean, label, and prepare datasets for model training.
• Train, fine-tune, and evaluate machine learning models, and write clear reports on what worked and why.
• Design evaluation methods and test cases that expose where a model's reasoning breaks down.
• Write production-quality Python code, with tests and code review, that ships alongside our engineering team.
• Help deploy and monitor models, tracking accuracy, drift, and failure cases after launch.
• Present your work to the team in a final project showcase at the end of the internship.

This is how you'll win us over:

• Current enrollment in a master's degree program for the full duration of the internship.
• At least one of the following: professional software engineering experience, including full-time, part-time, contract, or substantial open-source work; a bachelor's degree in Engineering, Philosophy, Theology, Mathematics, or another logic-focused discipline; or a recognized programming certification, such as a language certification or completed coding bootcamp.
• Working proficiency in Python.
• Comfort with foundational mathematics for machine learning, including linear algebra, probability, and basic statistics.
• The ability to explain a complex argument clearly in writing and conversation.

You'll Thrive Even More If You Also Bring:

• Hands-on experience with a machine learning framework such as PyTorch, TensorFlow, or scikit-learn.
• Familiarity with Git, SQL, and working in a Linux command line.
• Coursework or projects in formal logic, ethics, decision theory, or statistics.
• A portfolio, GitHub profile, or writing sample that demonstrates how you think through difficult problems.
• A degree background outside Computer Science at the bachelor's or master's levels.

At Siemens, you'll have the opportunity to grow your career while helping organizations operate smarter, safer, and more sustainably. We foster a culture of innovation, collaboration, and continuous learning, where employees are empowered to make a difference every day. If you're excited about solving real-world challenges and shaping the future of asset management, we encourage you to apply.

Our Commitment to Equity and Inclusion in our Diverse Global Workforce:

We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the every day with us.

Siemens maintains a Drug Free workplace in accordance with applicable law.

#AMSInternsFY27

You’ll Benefit From

The hourly pay range for this position $29 - $34 per hour, based off of your projected graduation year. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Additionally, interns for Siemens are eligible to contribute into our 401K program.

Equal Employment Opportunity Statement

Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

EEO is the Law

Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law.

Reasonable Accommodations

If you require a reasonable accommodation in completing a job application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this link Accommodation for disability form. If you're unable to complete the form, you can reach out to our AskHR team for support at 1-866-743-6367. Please note our AskHR representatives do not have visibility of application or interview status.

Pay Transparency

Siemens follows Pay Transparency laws.

Application Deadline

This role will be posted for a minimum of five (5) days from the original posting date. The posting timeline may change based on applicant volume to ensure we attract and consider a strong and representative candidate pool.

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Criminal History

Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws.