As a Machine Learning Test Capability Engineer at Nokia, you will join a dynamic team focused on advancing optical communication technologies through intelligent, data-driven test methods. Reporting directly to the Sr. Manager of Test Capability Engineering, you will work alongside a team of test capability engineers embedded across our coherent pluggable product lines. Your role bridges big data infrastructure, machine learning, and manufacturing test — translating the rich datasets generated by our test platforms into predictive models, automated diagnostics, and yield intelligence. The collaborative environment fosters open communication, where your insights and feedback are valued and drive meaningful change. Enjoy competitive compensation, a comprehensive benefits package, and opportunities for professional growth in a state-of-the-art facility.
We are looking for recent or upcoming graduates (MS or PhD) in Data Science, Machine Learning, Electrical Engineering, or Computer Science.
Responsibilities
Partner with test capability engineers to identify opportunities where predictive modeling, anomaly detection, and statistical inference can improve yield, reduce cycle time, and accelerate fault isolation.
Qualifications
You have:
MS or PhD in Data Science, Machine Learning, Electrical Engineering, Computer Science, Applied Mathematics, Statistics, or a related quantitative field.
Strong foundation in machine learning methods: supervised/unsupervised learning, regression, classification, clustering, anomaly detection.
It would be nice if you also had:
- Familiarity with optical transceiver or photonics test data.
About Company
Some of our benefits in
US:
- 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.
Company
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.
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.