Software Engineer (AI/ML) Intern - Strategic Student Programme

Software, Computer Science, AI/ML.

About Siemens Digital Industries Software

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software.

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Position Overview

Are you a computer science enthusiast student eager to delve into the world of Artificial Intelligence and Machine Learning? Siemens Lifecycle Collaboration Software (LCS) in Cambridge is offering a 12-month paid internship to a talented individual passionate about shaping the future of technology. This position offers a fantastic opportunity to work on world-class, complex software projects in an exciting and varied enterprise environment for industry-leading customers.

As an intern in our Cambridge office, you will be an integral part of the Siemens LCS organisation, working closely with system architects. Your primary responsibility will be to assist in the development of AI adoption strategies within LCS Teamcenter Structures applications. You'll be part of a friendly team where your innovative talents are valued and nurtured, with opportunities to learn and contribute across a variety of areas of the software development process.

Key Responsibilities

  • Assist in the development of AI adoption strategies within Teamcenter Structures applications
  • Collaborate with system architects and development teams on AI/ML integration initiatives
  • Contribute to research and proof-of-concept projects exploring machine learning applications
  • Support documentation and knowledge sharing of AI/ML implementations
  • Participate in code reviews and software development activities
  • Learn and apply best practices in AI/ML development within an enterprise software environment

Qualifications

  • Currently enrolled in a Computer Science, Artificial Intelligence, Science, Engineering, or related degree programme
  • Proficiency in Python programming and familiarity with SQL
  • Strong problem-solving skills and a passion for coding
  • Excellent written and verbal communication abilities
  • Collaborative mindset and desire to work in a friendly global team environment
  • Experience or understanding of AI/ML technologies, including supervised and unsupervised machine learning

Preferred Qualifications

  • Experience with C++
  • Hands-on experience with PyTorch, TensorFlow, or other AI/ML frameworks
  • Prior internship or project experience in software development

Our Benefits & Rewards

We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare. We actively support working from home and flexible working arrangements.

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.

Our Commitment to Equity and Inclusion

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 everyday with us.

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(This means that we will supply feedback if requested after an interview.)

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Job ID Number: 509108
Can I use AI to apply?

Whilst Siemens embraces the use of AI, we recommend not using it to write your response so we can hear from the authentic you.

 

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Shortlisted
  • Deadline
    Ongoing
  • Salary
    Competitive
  • Degree required
    Bachelor's expected
  • Duration
    12 months
  • Location
    Cambridge
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Disciplines Accepted...
  • AI/Machine Learning
  • Computer Science
  • Information Technology
  • Software/Systems
  • Web Development

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