• Strategic Student Program: CAEML Machine Learning Intern (ICS, Summer 24)

    Siemens Digital Industries SoftwareWilsonville, OR 97070

    Job #2663809899

  • Job Family: Internal Services

    Req ID: 406416

    Siemens Industry Software Inc.

    Strategic Student Program (SSP)

    Discover your career with us at Siemens Industry Software!

    We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation- helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking and focuses on growth, so our people, our business, and our customers can achieve their full potential.

    We're currently recruiting students for our Summer 2024 Strategic Student Program. Our intern positions will allow you to find a career path that most inspires you. Here, you will apply your education to solve real-world problems, and turn theory into practice. At Siemens, our goal is to empower our students to become the next leaders of our company.

    Baseline Requirements

    • Currently enrolled as a university student (undergraduate or graduate); Preferred Master's level

    • Minimum 3.0 GPA

    • Authorized to work in the United States without the need for current or future sponsorship by the company

    • Preferred: 2025-2026

    • Hybrid: Wilsonville, OR

    Perks

    • Paid volunteer time off

    • Employee discounts at our top customer sites

    • Networking with our global leaders

    • Mentorship from senior engineers

    • Individual career development planning

    • Professional and technical workshops

    • Energetic student community

    • Leadership opportunities

    • Potential for full time offers after university graduation and completion of the program

    CAEML Machine Learning Internship

    Integrated Circuit Solutions

    As a CAEML Intern, you will be working in a hybrid role based in Wilsonville, participating in the innovative P23-17 Circuit Graph Isomorphism project. This full-time internship is an excellent opportunity for students with a strong interest in machine learning and its applications in electrical circuit analysis. As part of the CAEML team, you will support the P23-17 Circuit Graph Isomorphism project, which involves working directly with customers. This role allows you to delve into the practical applications of machine learning and gain valuable experience in a project that bridges academic research with industry needs. Students can look forward to being at the forefront of machine learning application in electrical engineering, contributing to a project that has real-world implications and offers the chance to work with leading experts in the field.

    Key Responsibilities:

    • Collaborate with the CAEML team on the P23-17 Circuit Graph Isomorphism project.

    • Apply machine learning techniques to analyze and compare different electrical circuit graphs.

    • Engage with customers to understand requirements and tailor solutions accordingly.

    • Document findings and contribute to the development of machine learning models.

    Qualifications:

    • Currently pursuing or holding a Master's degree in a related field.

    • Strong interest and foundational knowledge in machine learning.

    • Excellent problem-solving and analytical skills.

    • Ability to work independently and in a team environment.

    #LI-PLM #LI-EDA #SSP #LI-Hybrid

    We are Siemens

    A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare.

    Siemens Software. Transform the Everyday. Accelerate Transformation

    Working at Siemens Software | Why us?

    Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.

    The hourly range for this position is $22.00 to $50.00 for technical roles or $18.00 to $44.00 for non-technical positions. Siemens offers a variety of health and wellness benefits to employees. Details regarding our benefits can be found here: ~~~. In addition, this position is eligible for time off in accordance with Company policies, including paid sick leave and paid volunteer time off.

    We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

    We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

    Equal Employment Opportunity Statement

    Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity 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.

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