Jobs
Number of Positions: 4
Duration: 10 weeks
Date: June-August 2026
Location: Remote or Onsite in Murray Hill, New Jersey.
Education Recommendations
Currently a candidate for a PhD in Computer Science, Electrical Engineering, Statistics, or a related field with an accredited school in the US.
- Proven ability to design and implement innovative AI and machine learning algorithms.
- Strong algorithmic reasoning and software development skills, with expertise in Py Torch.
- Published research in reputable conferences and journals demonstrating scholarly contribution.
It Would Be Nice If You Also Had
- Knowledge or research experience in Agentic AI and autonomous decision-making systems.
- Experience training and evaluating models through pre-training, fine-tuning, and reinforcement learning.
As part of our team, you will:
- Research and develop advanced machine learning and AI algorithms to address complex problems.
- Evaluate model and algorithm performance using both real-world and large-scale simulated datasets.
- Design and prototype experimental systems that demonstrate and validate research innovations.
- Propose, investigate, and publish novel research in top-tier conferences and peer-reviewed journals.
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About Nokia

Nokia
PublicNokia 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
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