What are the responsibilities and job description for the Bell Labs Machine Learning and AI Intern position at NOKIA?
Position: Bell Labs Machine Learning and AI Intern
Number of Position(s): 5
Duration: 10 weeks
Date: June 2nd to August 8th, 2025
Location: Onsite, NJ
The team you'll be part of
As a Machine Learning and AI Intern student at Nokia Bell Labs, you will be a part of the Statistics and Data Science Research Group, working on Machine Learning and AI projects with a focus on Natural Language Processing (NLP), Large Language Models (LLMs), Computer Vision, Generative AI, and AI in robotics in an exciting industrial research environment. This role will give you the opportunity to gain valuable skills and experience in a dynamic team. You will have the opportunity to build and prototype systems to demonstrate research innovations and publish research in premier conferences and journals.
Educational Recommendations
Currently a candidate for a PhD in Computer Science, Electrical Engineering, or Statistics., or a related field with an accredited school in the US.
As a part of our team, you will:
- Research and develop advanced machine learning and AI techniques and algorithms
- Evaluate algorithm performance using real-life and simulated data
- Build and prototype systems to demonstrate research innovations
- Propose, investigate, and publish research in premier conferences and journals
- Developed novel statistical and machine learning algorithms
- Trained and evaluated the performance of AI models
- Strong algorithmic problem-solving and software skills (PyTorch)
- Published paper(s) in peer-reviewed venues
It would be nice if you also had:
- Knowledge and experience in training multi-modal models
- Knowledge and experience in Reinforcement Learning by Human Feedback or similar techniques
- Knowledge and proficiency of Robot Operating System (ROS)
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
Join us and be part of a company where you will feel included and empowered to succeed.
Additional Information
US/Canada Nokia Offers a comprehensive benefits package that includes but is not limited to:
- Corporate Retirement Savings Plan
- Health and dental benefits
- Short-term disability, and long-term disability
- Life insurance, and AD&D - Company paid 2x base pay
- Optional or Supplemental life and AD&D insurance (Employee/Spouse/Child)
- Paid time off for holidays and Vacation
- Employee Stock Purchase Plan
- Tuition Assistance Plan
- Adoption assistance
- Employee Assistance Program/Work Life Resource Program
Nokia Maintains broad annual base salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, and with consideration to internal peer equity.(Check the salary ranges in the job info section for this role)
All North America job posts will post for a minimum of 7 calendar days and up to 180 days or until candidate/s identified.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
