Bell Labs Autonomous Systems Intern

NOKIA
$19.40-$35.55 per hour
life insurance, paid time off, tuition assistance

Oct 30, 2024
Position: Bell Labs Autonomous Systems Intern (Student Position) Number of Position(s): 5 Duration: 10 Weeks Date: June 2nd to Aug 8th, 2025 Location: Onsite- Murray Hill, NJ. Education Recommendations Currently a candidate for a Master's (preferred), Bachelor's degree, or Diploma in Computer Science, Data Science, or a related field with an accredited school in the US. As part of our team, you will work on any one of the following topics: LLM fine-tuning. LLM / AI Agents. Design and implement research ideas in the field of AI/ML. Decentralized Federated Learning, Distributed Training, and Inferencing. GPU sharing approaches. LLMOps. Work on developing solutions using Deep NN, Reinforcement Learning, Speed up learning approaches, etc. Explore the potential of AI/ML in network edges and small devices. Web 3.0 and Decentralized Physical Infrastructure. Understand Smart Contracts / Crypto Networks and implement them for different use cases. Good knowledge of LLM. Good knowledge of Agents. Good knowledge / worked with Reinforcement/ Hybrid/ Transfer/Active / Speed up learning Good knowledge of the machine learning concepts. Knowing convolutional neural networks is an asset. Being autonomous with open source libraries (TensorFlow/Keras, PyTorch,...) and fluent in Python are prerequisites. Large autonomy in the work, the ability to ask for support, good communication, and strong attention to detail, are essential skills for this type of internship. 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. 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 The above benefits exclude students. Disclaimer for US/Canada 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.