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Machine Learning Research Intern, Bell Labs

Nokia

Machine Learning Research Intern, Bell Labs

Nokia

Finland, FI

·

On-site

·

Internship

·

1w ago

Required Skills

Python

Machine Learning

The AI Research Lab at Bell Labs Solutions Research invites applications to Intern / Thesis worker positions in machine learning. The Lab has a long tradition of excellence in research and currently consists of 80 staff members with expertise in algorithmic and computing sciences, stochastic networks, information theory and machine learning.

The successful candidate would be working in a team consisting of machine learning scientists and engineers, including experts in deep learning, reinforcement learning and differential privacy. The team has a strong track record in inspiring and supporting thesis writing. The team provides a possibility to create new academically and industrially relevant research.

  • Duration: 4-6 months
  • Target start date: 2026, Flexible
  • Educational recommendations: M.Sc. / Ph.D. students in the relevant field (e.g., machine learning, mathematics, telecommunications, computer science, data science) with relevant programming skills. For M.Sc. students, status in studies must allow writing an M.Sc. thesis on the work topic.
  • Location: Espoo, Finland

Requirements:

  • Simulation and programming skills (e.g., Matlab and Python).
  • Together with the team, you should be able develop machine learning methods and applications
  • English language skills – English is preferable language of your thesis and the everyday working language in our organization.
  • M.Sc. / Ph.D. students in the relevant field (e.g., machine learning, mathematics, telecommunications, computer science, data science) with relevant programming skills. For M.Sc. students, status in studies must allow writing an M.Sc. thesis on the work topic.

These can also be seen as advantage:

  • Experience with machine learning algorithms or related topics (optimization, statistics, etc)
  • Experience with design, development and debugging software in distributed computing environments.

When applying for the position through the website, please note that we mainly consider your resume, preferably in PDF format. Other fields may be filled briefly.

Kindly note that to be able to work as a trainee for Nokia Finland, you must be located in Finland since we do not provide relocation for our trainee positions.

We are looking both M.Sc. students or PhD students to work in our team in the Bell Labs AI Research Lab’s ML Methods and Applications Team at the Espoo site. MSc student would carry out Master’s thesis work in one of the following potential topics:

  • Design and implementation of privacy-preserving machine learning algorithms with Differential Privacy
  • Developing machine learning solutions for AI-driven wireless communications

The topic will be chosen based on candidates’ preferences and skills. We have world class researchers that will be instructing each of the topics.

For PhD students, we offer an internship position in which students would carry out research on the above topics. Results could potentially be part of his/her thesis.

Please indicate your preferred topic among the two options in your application (e.g., briefly in a short application letter).

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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