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Research Scientist – Generative AI

Salary

$101k - $187.72k

Min Experience

0 years

Location

Murray Hill, New Jersey

JobType

Full-Time

About the job

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About the role

The team you will be a part of: Your focus will be on Generative AI, Large Language Models (LLMs), multi-modal AI, AI reasoning, and AI applications in robotics within a dynamic industrial research environment. This role offers the opportunity to develop and prototype innovative systems, showcase your research breakthroughs, and publish your findings in leading conferences and journals. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN What you will learn and contribute to As a member of our team, you will: Research and develop advanced machine learning and AI techniques and algorithms Evaluate algorithm performance using both real-world and simulated data Design and prototype systems to showcase research innovations Propose, investigate, and publish your research in leading conferences and journals KEY SKILLS AND EXPERIENCE Your skills and experience You have: PhD in Computer Science, Electrical Engineering, Statistics, or a related field with an accredited school in the US. Developed innovative AI and machine learning algorithms Trained and evaluated AI models through pre-training, fine-tuning, and reinforcement learning (RL) techniques Demonstrated strong algorithmic problem-solving and software development skills, particularly with PyTorch Published research papers in peer-reviewed journals and conferences It would be nice if you also had: Previous Nokia internship or co-op experience. Expertise in training multi-modal AI models Developed and evaluated agentic workflows Proficient in Reinforcement Learning with Human Feedback or similar methodologies

About the company

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

Skills

machine learning
ai
deep learning
pytorch
python