Research Scientist – Generative AI

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.
 

 

 

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
   

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
  
   

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.