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Eindhoven
2 weeks ago
Data Science | AI Internship: Reinforcement Learning logo

Data Science | AI Internship: Reinforcement Learning

ASML

Eindhoven
2 weeks ago
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Data Science | AI Internship: Reinforcement Learning

ASML offers a master thesis internship in Reinforcement Learning with Human Feedback (RLHF) to improve AI diagnostic systems. The intern will design and evaluate an RLHF framework, develop reward models, and build prototypes using Python and deep learning. Requires a master's degree in a relevant field, experience with Python, machine learning, and reinforcement learning.

Core AIHybridFull-timeInternshipPythonMachine Learning

Data Science | AI Internship: Reinforcement Learning

ASML offers a master thesis internship in Reinforcement Learning with Human Feedback (RLHF) to improve AI diagnostic systems. The intern will design and evaluate an RLHF framework, develop reward models, and build prototypes using Python and deep learning. Requires a master's degree in a relevant field, experience with Python, machine learning, and reinforcement learning.

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Core AIHybridFull-timeInternshipPython

Salary

Not specified

Work Location

Eindhoven, North Brabant, Netherlands, NL

Work Model

Hybrid: minimum 4 days per week, 3 days on-site

Employment Type

Full-time

Experience Level

Internship

Contract Length

5 months

Core Qualifications

Technical (Must-have)
PythonMachine LearningReinforcement LearningHuman Feedback MethodsReward DesignPyTorchDeep LearningNatural Language ProcessingHuman-in-the-Loop AI
Soft Skills
AnalyticalProactiveCollaborativeProblem SolvingCommunication

Key Responsibilities

  • •Design a framework to capture engineer-AI interaction signals during diagnostics.
  • •Analyze how user actions can be translated into meaningful feedback signals.
  • •Develop reward models for reinforcement learning using human feedback.
  • •Build and evaluate prototype solutions using Python and deep learning frameworks.
  • •Investigate methods to improve diagnostic recommendation quality over time.
  • •Assess the effectiveness and robustness of the proposed RLHF approach.
  • •Present findings and recommendations to stakeholders within the team.
InternshipReinforcement LearningRLHFAIData ScienceASMLSemiconductorEindhovenMaster Thesis
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