Enable job alerts via email!

AI/ML Coop

NOKIA

California, Sunnyvale (MO, CA)

Remote

USD 60,000 - 100,000

Full time

9 days ago

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

Join a forward-thinking company as an AI/ML Co-op, where you'll engage in exciting projects that harness the power of artificial intelligence. This role offers a unique opportunity to work with cutting-edge technologies and collaborate with experts in the field. You'll contribute to the development of machine learning pipelines and explore innovative solutions in a dynamic, remote environment. With a commitment to continuous learning and a culture of inclusion, this position promises to enhance your skills while making a meaningful impact. If you're passionate about technology and eager to learn, this is the perfect place for you.

Benefits

Corporate Retirement Savings Plan
Health and dental benefits
Short-term and long-term disability
Life insurance
Paid time off for holidays and vacation
Employee Stock Purchase Plan
Tuition Assistance Plan
Adoption assistance
Employee Assistance Program

Qualifications

  • Currently pursuing or recently completed a relevant degree.
  • Strong programming skills, especially in Python and machine learning.

Responsibilities

  • Contribute to AI/ML projects focusing on LLMs and data analysis.
  • Assist in developing machine learning pipelines and models.

Skills

Python programming
Pandas
NumPy
Matplotlib
scikit-learn
Machine Learning frameworks
Deep Learning frameworks
Natural Language Processing
Git
Problem-solving

Education

Bachelor's in Computer Science
Master's in Data Science
PhD in Statistics

Tools

PyTorch
TensorFlow
Hugging Face Transformers
Google Cloud
AWS
Azure

Job description

Position: AI/ML Co-op
Number of Position(s): 1
Duration: 3 months
Date: June-August 2025
Location: Remote - U.S.


Educational Recommendations
Currently pursuing or recently completed a Bachelor's, Master's, or PhD in Computer Science, Data Science, Statistics, or a related field from an accredited university in the U.S.



  • Contribute to research and development projects focused on AI/ML applications such as Large Language Models (LLMs), time series forecasting, and exploratory data analysis

  • Assist in the development and evaluation of machine learning pipelines using state-of-the-art tools and real-world datasets

  • Collaborate with a team of experts to explore new ideas, test solutions, and optimize models for real-world applications

  • Gain exposure to cutting-edge open-source frameworks and techniques in a production-oriented cloud-native environment

  • Support thought leadership and documentation related to Nokia's Network as Code developer ecosystem




  • Strong Python programming skills (e.g., Pandas, NumPy, Matplotlib, scikit-learn)

  • Familiarity with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers)

  • Understanding of time series data and forecasting techniques

  • Exposure to Natural Language Processing (NLP) and LLMs is a strong plus

  • Experience with Git and collaborative coding workflows

  • Strong problem-solving and communication skills

  • A proactive mindset and enthusiasm for learning



It would be nice if you also had:



  • Experience with cloud platforms such as Google Cloud (GCP), AWS, or Azure

  • Familiarity with the Python Django framework



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.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.