AI R&D Engineering Co-op
Job Description
Number of Positions: 1
Duration: 4 months
Dates: 11th May - 21st Aug (tentatively)
Location: Sunnyvale (On-site)
Education Recommendations:
Currently a candidate for a Master’s or PhD degree in Computer Science or Engineering, Mathematics, or a related field with an accredited school in the US.
How You Will Contribute And What You Will Learn
As part of our team, you will:
Advancing connectivity to secure a brighter world.
Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.
Learn more about life at Nokia .
Our recruitment process
We act inclusively and respect the uniqueness of people. Our 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.
If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.
The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia .
About The Team
Some of our benefits for students in the US :
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 3 calendar days and up to 180 days or until candidate/s identified.
Number of Positions: 1
Duration: 4 months
Dates: 11th May - 21st Aug (tentatively)
Location: Sunnyvale (On-site)
Education Recommendations:
Currently a candidate for a Master’s or PhD degree in Computer Science or Engineering, Mathematics, or a related field with an accredited school in the US.
How You Will Contribute And What You Will Learn
As part of our team, you will:
- Design, develop, and deploy advanced AI/ML models and algorithms to analyze and interpret complex data.
- Design and implement machine learning models to improve a wide range of applications, including search, forecasting, text mining, and more.
- Work on implementing machine learning systems for enterprise usecases such as anomaly detection, RAG, training platform, and more.
- Develop and implement agentic-based systems for a wide range of applications, including anomaly detection, root-cause analysis, and more.
- Optimize existing machine learning models and pipelines for performance, scalability, and resource efficiency.
- Strong knowledge of machine learning, optimization algorithms, and deep-learning techniques.
- Experience with leading ML frameworks, such as TensorFlow or PyTorch.
- Familiarity with search engines, vector databases, and their underlying algorithms.
- Knowledge of big data frameworks and technologies, including Spark, Kafka, and Cassandra.
- Excellent communication skills and the ability to collaborate effectively in a team environment.
Advancing connectivity to secure a brighter world.
Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.
Learn more about life at Nokia .
Our recruitment process
We act inclusively and respect the uniqueness of people. Our 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.
If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.
The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia .
About The Team
Some of our benefits for students in the US :
- Flexible and hybrid working schemes to balance study, work, and life
- Professional development events and networking opportunities
- Well-being programs, including Personal Support Service 24/7 - a confidential support channel open to all Nokia employees and their families in challenging situations
- Opportunities to join Nokia Employee Resource Groups (NERGs) and build connections across the organization
- Employee Growth Solutions, mentorship programs, and coaching support for your career development
- A learning environment that fosters both personal growth and professional development – for your role and beyond
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 3 calendar days and up to 180 days or until candidate/s identified.
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