Working Student is a long-term paid internship that allows you to kickstart your fabulous journey in the IT and Telecom world. As our Trainee you can have experience working in such areas that correspond to full-time engineering jobs. The internship usually lasts from 6 to 24 months. We are open to flexible working hours so that you can reconcile working with us with your studies. #OpenToYou.
Position: Machine Learning Engineer – Working Student
Duration: 12 months (possibility to prolong to the next 12 months)
Date: 1.09.2025–30.08.2026
Location: Poland (hybrid in Wroclaw)
Education Recommendations: Computer Science, Data Science, Automation and Robotics or similar
Join our team, where you'll design, develop, and deploy cutting-edge ML models that bridge data science and software engineering. Collaborating with experts, you'll transform prototypes into scalable solutions that drive innovation and enhance our competitive edge in the 6G market. Leverage state-of-the-art GPU technology to accelerate model training and inference while tackling large datasets and complex computations.
As part of our team, you will:
- Design and implement machine learning models to solve specific business challenges
- Clean, preprocess, and transform raw data for effective model training and evaluation
- Train models using appropriate datasets, ensuring accuracy through thorough evaluation metrics
- Collaborate closely with data scientists and engineers to integrate ML solutions effectively
- Document models and processes thoroughly for knowledge sharing and future reference
You have :
- Active student status
- Good English (written and spoken)
- Knowledge of machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
- Good skill in Python programming language
- Familiarity with version control systems like Git
- Understanding of statistical methods and mathematical concepts in machine learning
- Knowledge of various model evaluation metrics and techniques
It would be nice if you also had:
- Knowledge of 5G networks, particularly the physical layer
- Experience in managing project timelines and deliverables
- Familiarity with model development and optimization
- Awareness of GPU programming techniques
Come create the technology that helps the world act together
Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work
What we offer
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.
Nokia is committed to inclusion and is an equal opportunity employer
Nokia has received the following recognitions for its commitment to inclusion & equality:
- One of the World’s Most Ethical Companies by Ethisphere
- Gender-Equality Index by Bloomberg
- Workplace Pride Global Benchmark
At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s 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.
Join us and be part of a company where you will feel included and empowered to succeed.