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Senior AI Engineer

Nokia

Senior AI Engineer

Nokia

United States, US

·

On-site

·

Full-time

·

5d ago

The Nokia CNS AI R&D (AIRD) team's mission is to invent and deploy the next generation of intelligent, generative AI, and ML technologies that will define the future of Nokia. This team represents a major investment and consolidation of our AI efforts, created to move from siloed features to a unified and powerful product & platform portfolio. We are the future powerhouse for driving the of Nokia's future business growth and building a suit of technologies that is recognized externally as best-in-class.

  • At least 5 years of relevant machine learning experience

  • MS or PhD in Computer Science or Engineering, Mathematics, or a related field.

  • Experience with machine learning, optimization algorithms, deep-learning techniques

  • Experience with machine learning frameworks (e.g., Tensor Flow, Py Torch).

  • Experience with search engines and vector databases, along with their underlying algorithms.

  • Experience with big data frameworks and technologies such as Spark, Kafka, Cassandra.

  • 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.

  • Develop and implement agentic-based systems for a wide range of applications including anomaly detection, root-case analysis and more.

  • Optimize existing machine learning models and pipelines for performance, scalability, and resource efficiency.

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About Nokia

Nokia

Nokia

Public

Nokia Corporation is a Finnish multinational telecommunications, information technology, and consumer electronics corporation, originally established as a pulp mill in 1865.

10,001+

Employees

Espoo

Headquarters

Reviews

3.6

25 reviews

Work Life Balance

3.8

Compensation

2.7

Culture

3.9

Career

2.9

Management

2.8

65%

Recommend to a Friend

Pros

Good work-life balance and flexible schedules

Strong company culture and nice people

Excellent benefits and learning opportunities

Cons

Low salary and compensation issues

Limited growth and career opportunities

Frequent leadership changes and lack of direction

Salary Ranges

22 data points

JG9

L5

Mid/L4

Staff/L6

JG9 · Data Scientist JG9

0 reports

$146,667

total / year

Base

-

Stock

-

Bonus

-

$124,667

$168,667

Interview Experience

7 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

57%

Experience

Positive 14%

Neutral 72%

Negative 14%

Interview Process

1

Application Review

2

Technical Phone Screen

3

Technical Interview

4

HR Interview

5

Team Matching

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience