招聘
Required Skills
Python
Machine Learning
As part of our test development team, you will work on software engineering tasks, building and deploying ML/AI capabilities to support test data analytics, yield prediction, anomaly detection on wafer/test logs.
Key Tasks:
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Supporting the design and implementation of an ML/AI project
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Preparing, cleaning, and structuring datasets using Python
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Conducting exploratory data analysis (EDA)
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Collaborating with cross-functional teams to define use cases
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Building structured data pipelines
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Training and evaluating models (e.g. classification, regression, clustering)
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Hyperparameter tuning and model comparison
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Implementing a prototype (e.g. internal tool / simple API)
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Supporting early-stage AI product exploration
This internship gives you the chance to see your ideas come to life in real lab environments! This topic can also be offered as a potential bachelor or master thesis.Your Profile:
You’re a motivated high school pupil or student currently pursuing studies in one of the following fields: Electrical Engineering, ICE/Telematics, Informatics / Computer Science, Biomedical Engineering, Automation, Computer Engineering or similar.
Technical Skills:
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Strong Python programming skills
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Experience with data analysis libraries (e.g., pandas, numpy)
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Basic understanding of machine learning concepts
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Experience with scikit-learn or similar ML frameworks
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Familiarity with Jupyter Notebooks
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Understanding of statistics and data structures
Soft Skills:
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Strong problem-solving and analytical thinking
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Ability to work independently and collaboratively in a multidisciplinary environment
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Clear communication and documentation skills
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Good English skills (spoken and written)
Availability: Full-time for2–3 months between June and September 2026
The minimum salary for this position is 2100,- EUR gross monthly/full-time.
More information about NXP in Austria...
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About NXP Semiconductors
Reviews
3.9
44 reviews
Work Life Balance
3.8
Compensation
3.9
Culture
4.1
Career
3.6
Management
3.8
73%
Recommend to a Friend
Pros
Competitive compensation and benefits
Good work-life balance and flexible environment
Interesting projects and challenges
Cons
Room for improvement in processes
Work-life balance varies by team
Internal communication could improve
Salary Ranges
267 data points
Junior/L3
L3
Junior/L3 · Data Scientist
0 reports
$114,000
total / year
Base
$99,000
Stock
-
Bonus
$15,000
$96,900
$131,100
Interview Experience
42 interviews
Difficulty
3.1
/ 5
Duration
14-28 weeks
Offer Rate
33%
Experience
Positive 69%
Neutral 13%
Negative 18%
Interview Process
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
Common Questions
Technical skills
Past experience
Team collaboration
Problem solving
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