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Mandatory Internship – Code Models: Synthetic Data Generation & RL Post-Training

Mandatory Internship – Code Models: Synthetic Data Generation & RL Post-Training

Mandatory Internship – Code Models: Synthetic Data Generation & RL Post-Training

Mandatory Internship – Code Models: Synthetic Data Generation & RL Post-Training

Siemens

Industrie und Maschinenbau

München

  • Art der Beschäftigung: Studierende
  • Vor Ort
  • Zu den Ersten gehören

Mandatory Internship – Code Models: Synthetic Data Generation & RL Post-Training

Über diesen Job

Mandatory Internship – Code Models: Synthetic Data Generation & RL Post-Training

Job ID
478985
Organisation
Foundational Technologies
Tätigkeitsbereich
Internal Services
Unternehmen
Siemens AG
Erfahrungsniveau
Student / Schüler
Beschäftigungsart
Vollzeit
Arbeitsmodell
Arbeiten vor Ort
Vertragsart
Befristet
Standort(e)
  • München - Bayern - Deutschland

Mode of Employment: Fixed Term / Full-Time; (35 hours / week)

Are you ready to pioneer the future of AI at Siemens? Join us in MCH P for a Mandatory Internship focusing on Code Models, Synthetic Data Generation & RL Post-Training and transform the way we develop technology!

What we offer you

  • Exciting insights into various business areas and fields of activity
  • Challenging and practical project tasks where you can apply and expand your knowledge
  • Individual support and mentoring from experienced mentors
  • The opportunity to actively contribute to ongoing projects
You'll make an impact by
  • You conduct research on code models focusing on synthetic data generation and reinforcement learning (RL) post-training to enhance model performance
  • Following this, you design and implement pipelines to efficiently generate and utilize synthetic data for training purposes
  • In addition, you develop and evaluate advanced RL methods tailored for the post-training optimization of code models
  • Throughout your internship, you collaborate closely with data & AI scientists to drive innovative solutions in the field of machine learning
  • Lastly, you document your findings comprehensively and share them within the team to foster knowledge exchange and collective growth

This is how you'll win us over

  • Education : You are currently enrolled in a Bachelor’s or Master’s degree program in Computer Science, Electrical Engineering and Information Technology, Data Science, Mathematics, or a related field
  • Experience and Skills :
    • You possess strong Python programming skills; knowledge of C++ or Java is a plus
    • You have a solid understanding of machine learning and deep learning concepts
    • You are familiar with LLM frameworks such as Hugging Face
    • You demonstrate a strong interest in reinforcement learning and synthetic data generation
    • You have strong analytical and problem-solving skills
  • Ways of Working : You are capable of working both independently and collaboratively in a team environment
  • Languages : Proficient in English

You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!

Your individual personality and perspective are important to us. We create a working environment that reflects the diversity of the society and support you in your personal and professional development. Let’s get to know your authentic personality and create a better future together with us. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities. In the case of equal qualifications, severely disabled applicants and applicants with equivalent status will be given preference.

About Us

The world never stands still. And new challenges arise every day. With a passion for questioning things, for supplying ideas, and intelligently driving things forward we are helping society move towards a smarter tomorrow. Be it with technologies that reduce carbon emissions in cities or hyperintelligent robots. This is how we are able, to tackle the most important projects and push them forward together. Help us shape the future.

www.siemens.de/careers – if you would like to find out more about jobs & careers at Siemens.

FAQ – if you need further information on the application process.

If you have more questions please contact: www.siemens.com/fragenzurbewerbung

#sagintern

Unternehmens-Details

company logo

Siemens

Industrie und Maschinenbau

10.001 oder mehr Mitarbeitende

München, Deutschland

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