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Bell Labs AI/ML PhD Intern

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vor 3 TagenTechPraktikum

Bell Labs AI/ML PhD Intern

Nokia Bell Labs

HybridEnglisch

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Erforderliche Skills
Model alignmentPythonMLOpsReliability engineeringTransformer architectureDeep LearningOpen-source librariesFine-tuningOpen-weight modelsDistributed systemsGenAIDeep Neural Network interpretabilityReinforcement LearningDeep Neural Networks (DNN)Machine Learning
Stellenbeschreibung
Job Description

Nokia Bell Labs is the world-renowned research arm of Nokia, having invented many of the foundational technologies that underpin information and communications networks and all digital devices and systems. This research has produced nine Nobel Prizes, five Turing Awards and numerous other awards.

Nokia Bell Labs is building the future of human experience and our interns will have the opportunity to learn from and work with industry leading experts, who solve the most formidable challenges confronting our world through disruptive innovation and research.

How You Will Contribute And What You Will Learn

  • Contribute to a Machine Learning Operations (MLOps) platform, which supports state-of-the-art training and inference features with a focus on sustainable MLOps practices
  • Contribute to a GenAI and AI/ML systems.
  • Design and implement research ideas in the field of AI/ML
  • Work on developing solutions using Deep NN, Reinforcement Learning, Speed up learning approaches, etc.
  • Work with different platforms and Proof of Concepts to validate the contributed / proposed solutions
  • Build a framework combining concepts in autonomous agents and decentralized systems
  • Work on the Auction based network selection approaches
  • Explore and get familiar with various open-source software libraries.

Key Skills And Experience

Must have:

  • Student enrolled in a PhD program in Computer Science/Engineering.
  • Good knowledge of Machine Learning concepts.
  • Hands-on experience with transformer architecture
  • Good programming skills in Python
  • Experience in designing, implementing and evaluating distributed systems is a big plus.
  • Language skills: English

Nice to have:

  • Experience with Deep Neural Network (DNN) interpretability and reliability engineering.
  • Good knowledge of Deep Reinforcement Learning.
  • Familiarity with finetuning and alignment of open-weight models is a plus
  • Good knowledge of distributed systems is a plus
  • A strong publication record is a plus

Location: Stuttgart (Germany)

About Us

Advancing connectivity to secure a brighter world.

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.

Learn more about life at Nokia .

Our recruitment process

We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.

If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.

The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia .

About The Team

Some of our benefits:

  • Flexible and hybrid working schemes
  • Well-being programs to support your mental and physical health
  • Opportunities to join and receive support from Nokia Employee Resource Groups (NERGs)
  • Employee Growth Solutions to support your personalized career & skills development
  • Diverse pool of Coaches & Mentors to whom you have easy access
  • A learning environment which promotes personal growth and professional development - for your role and beyond
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