Job Information
NOKIA Sensing and Localization ML Intern in New Providence, New Jersey
Position: Sensing and Localization ML Intern
Number of Position(s): 1
Duration: 10 Weeks
Date: June 2nd to Aug 8th, 2025
Location: Onsite
Education Recommendations
Currently a candidate for a Master's or PhD in Computer Science, Data Science, or a related field with an accredited school in the US.
As part of our team, you will:
- Work with members of our team to create innovative solutions in the areas where sensing and localization intersect based on cutting edge environmental sensing and localization fusion assets.
- Evaluate HW/SW performance using real or simulated data
- Build prototype systems to demonstrate research innovations
- Design and run experiments to create data and to utilize that data to create new ML models
We are looking for an enthusiastic and creative Sensing and Localization Machine Learning Research Intern, who can design innovative experiences and features for our research projects. You communicate well, can think out of the box, always keep an eye on delivering high-quality work, and can thrive in a highly dynamic environment.
You have:
- Ability to clearly and effectively communicate ideas, vision, and designs
- Possess good knowledge of Machine Learning/Deep Learning methods, data science, and data visualization
- Good with Python
- Experience with tools/frameworks like Tensorflow/PyTorch, Pandas, etc.
- Be hands-on and able to take the initiative, including the ability to design and set up experiments (or data collection), execute and analyze the results
- Minimum GPA 3.5
It would be nice if you also had:
- Possess knowledge/experience with IoT (sensors, etc)
- Experience in sensing modalities (e.g. acoustics, Bluetooth, camera-based)
- Some knowledge of (indoor) localization techniques
- Embedded development:
- C/C++, publish and subscribe messaging
- Edge/embedded ML
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.