Machine Learning and Systems Internship
France
Nokia
As a technology leader across mobile, fixed and cloud networks, our solutions enable a more productive, sustainable and inclusive world.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.
The AI Research Lab at Bell Labs Solutions Research invites applications for intern positions in machine learning, mathematics, networking, modeling, and optimization. The Lab has a long tradition of excellence in research and currently consists of 80 staff members with expertise in algorithmic and computing sciences, network measurement and optimization, information theory, and machine learning. The internship is in the Machine Learning and Systems Group in the AI Research lab. https://www.bell-labs.com/research-innovation/projects-and-initiatives/air-lab/machine-learning-systems/
The successful applicants will work with our current team to conduct high-quality fundamental research and apply the findings to problems that arise in a wide range of Nokia applications and use cases. Likely focus areas include:
- Machine Learning algorithms for predictive maintenance, predictive analytics, network resource optimization, or root cause analysis,
- LLM and Generative AI methods
- Experiments with real data collected for example from telecommunication networks.
You have
- Strong and proven background in machine learning, time series analysis, LLMs or causal inference, as well as Python or other programming languages.
- A natural interest in innovatively applying fundamental tools and methods to focused problem areas such as telecom network management and maintenance, distributed algorithms, and causal modeling problems.
It would be nice if you also had one of the following:
- Experience with TensorFlow or PyTorch,
- Advanced knowledge of scikit-learn,
- Experience with open-source libraries for causal inference or LLMs
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.
Tags: Causal inference Generative AI LLMs Machine Learning Mathematics Open Source Predictive Maintenance Python PyTorch Research Scikit-learn TensorFlow
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