Apprenticeship Ml and Systems
il y a 1 jour
**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.
**The team you'll be part of**
Bell Labs
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.
**Bell Labs Intern**
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.
**Education Recommendations**
Duration: 6 months.
**What you will learn and contribute to**
As part of our team on Predictive Maintenance you will contribute to the following efforts:
- Design and analyze algorithms for predictive maintenance solutions
- Experiments with methods at the frontier of causal inference and machine learning
- Write papers for publication if/when results justify
As part of our team on Sparse Inference you will contribute to the following efforts:
- Design and analyze algorithms for object detection and classification
- Work on fusion of signals from sensors such as cameras, lidars, radars
- Develop a working proof-of-concept sparse machine learning model
**What is Nokia looking for from me**
For the project on Predictive Maintenance, you have:
- Advanced understanding of probabilistic graphical models such as Bayesian networks,
- Advanced understanding of ML and deep learning techniques for time series analysis
- Strong skills in Python or Matlab programming
It would be nice if you also had:
- Understanding of Causal models
- Experience with analytics platform SPARK
For project on Sparse Inference, you have
- Excellent knowledge on image processing/computer vision
- Advanced understanding of deep learning
- Excellent knowledge on python and related programming techniques
It would be nice if you also had:
- Advanced knowledge of TensorFlow or PyTorch
- Advanced knowledge of scikit-learn
**Why we're awesome**
Nokia offers flexible and hybrid working schemes, 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.
Company Culture: We believe our people are our greatest asset and we aim to foster a fun, challenging, positive, and inclusive work environment. We offer 1-on-1 mentorship, learning and development opportunities, global impact and interaction, and flexible work/life balance.
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
- LGBT+ equality & best place to work by HRC Foundation
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.
Follow and engage with us on social media:
Chat with our Nokia insiders to ask questions and learn more about us
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