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Research Intern for Deep Generative Modeling

Sony

Engineering Jobs

Research Intern for Deep Generative Modeling

full-timePosted: Dec 12, 2025

Job Description

Research Intern for Deep Generative Modeling

๐Ÿ“‹ Job Overview

The Research Intern for Deep Generative Modeling at Sony focuses on advancing generative AI technologies through innovative research and development. Interns will collaborate with a team of experts to design, implement, and evaluate novel models for applications in media, entertainment, and beyond. This role provides hands-on experience in cutting-edge machine learning while contributing to Sony's AI initiatives.

๐Ÿ“ Location: Schlieren, Switzerland

๐Ÿข Company: Sony Europe Limited, Switzerland Branch

๐Ÿ“… Posted: Posted 30+ Days Ago

๐ŸŽฏ Key Responsibilities

  • Conduct research on state-of-the-art deep generative models
  • Implement and experiment with novel architectures and algorithms
  • Analyze model performance and generate insights for improvements
  • Collaborate with research team to prototype applications
  • Document findings and contribute to internal reports or publications

โœ… Required Qualifications

  • Currently pursuing a PhD or Master's degree in Computer Science, Electrical Engineering, or a related field
  • Strong foundation in machine learning and deep learning fundamentals
  • Experience with generative models such as GANs, VAEs, or diffusion models
  • Proficiency in Python and deep learning frameworks

โญ Preferred Qualifications

  • Prior publications in top ML conferences (e.g., NeurIPS, ICML, CVPR)
  • Experience with large-scale data processing and model training
  • Knowledge of audio, video, or multimodal generative modeling
  • Familiarity with Sony's research areas in AI and media technologies

๐Ÿ› ๏ธ Required Skills

  • Deep learning frameworks (PyTorch, TensorFlow)
  • Python programming
  • Machine learning algorithms, especially generative models (GANs, VAEs, diffusion models)
  • Data analysis and visualization tools
  • Strong mathematical background (probability, linear algebra)
  • Problem-solving and research skills
  • Team collaboration and communication

๐ŸŽ Benefits & Perks

  • Competitive hourly stipend
  • Flexible work hours and remote options
  • Access to Sony's state-of-the-art research facilities
  • Mentorship from leading AI researchers
  • Networking opportunities within Sony's innovation ecosystem
  • Potential for full-time opportunities post-internship

Locations

  • Schlieren, Switzerland

Salary

Estimated Salary Rangemedium confidence

60,000 - 85,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Deep learning frameworks (PyTorch, TensorFlow)intermediate
  • Python programmingintermediate
  • Machine learning algorithms, especially generative models (GANs, VAEs, diffusion models)intermediate
  • Data analysis and visualization toolsintermediate
  • Strong mathematical background (probability, linear algebra)intermediate
  • Problem-solving and research skillsintermediate
  • Team collaboration and communicationintermediate

Required Qualifications

  • Currently pursuing a PhD or Master's degree in Computer Science, Electrical Engineering, or a related field (experience)
  • Strong foundation in machine learning and deep learning fundamentals (experience)
  • Experience with generative models such as GANs, VAEs, or diffusion models (experience)
  • Proficiency in Python and deep learning frameworks (experience)

Preferred Qualifications

  • Prior publications in top ML conferences (e.g., NeurIPS, ICML, CVPR) (experience)
  • Experience with large-scale data processing and model training (experience)
  • Knowledge of audio, video, or multimodal generative modeling (experience)
  • Familiarity with Sony's research areas in AI and media technologies (experience)

Responsibilities

  • Conduct research on state-of-the-art deep generative models
  • Implement and experiment with novel architectures and algorithms
  • Analyze model performance and generate insights for improvements
  • Collaborate with research team to prototype applications
  • Document findings and contribute to internal reports or publications

Benefits

  • general: Competitive hourly stipend
  • general: Flexible work hours and remote options
  • general: Access to Sony's state-of-the-art research facilities
  • general: Mentorship from leading AI researchers
  • general: Networking opportunities within Sony's innovation ecosystem
  • general: Potential for full-time opportunities post-internship

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Sony logo

Research Intern for Deep Generative Modeling

Sony

Engineering Jobs

Research Intern for Deep Generative Modeling

full-timePosted: Dec 12, 2025

Job Description

Research Intern for Deep Generative Modeling

๐Ÿ“‹ Job Overview

The Research Intern for Deep Generative Modeling at Sony focuses on advancing generative AI technologies through innovative research and development. Interns will collaborate with a team of experts to design, implement, and evaluate novel models for applications in media, entertainment, and beyond. This role provides hands-on experience in cutting-edge machine learning while contributing to Sony's AI initiatives.

๐Ÿ“ Location: Schlieren, Switzerland

๐Ÿข Company: Sony Europe Limited, Switzerland Branch

๐Ÿ“… Posted: Posted 30+ Days Ago

๐ŸŽฏ Key Responsibilities

  • Conduct research on state-of-the-art deep generative models
  • Implement and experiment with novel architectures and algorithms
  • Analyze model performance and generate insights for improvements
  • Collaborate with research team to prototype applications
  • Document findings and contribute to internal reports or publications

โœ… Required Qualifications

  • Currently pursuing a PhD or Master's degree in Computer Science, Electrical Engineering, or a related field
  • Strong foundation in machine learning and deep learning fundamentals
  • Experience with generative models such as GANs, VAEs, or diffusion models
  • Proficiency in Python and deep learning frameworks

โญ Preferred Qualifications

  • Prior publications in top ML conferences (e.g., NeurIPS, ICML, CVPR)
  • Experience with large-scale data processing and model training
  • Knowledge of audio, video, or multimodal generative modeling
  • Familiarity with Sony's research areas in AI and media technologies

๐Ÿ› ๏ธ Required Skills

  • Deep learning frameworks (PyTorch, TensorFlow)
  • Python programming
  • Machine learning algorithms, especially generative models (GANs, VAEs, diffusion models)
  • Data analysis and visualization tools
  • Strong mathematical background (probability, linear algebra)
  • Problem-solving and research skills
  • Team collaboration and communication

๐ŸŽ Benefits & Perks

  • Competitive hourly stipend
  • Flexible work hours and remote options
  • Access to Sony's state-of-the-art research facilities
  • Mentorship from leading AI researchers
  • Networking opportunities within Sony's innovation ecosystem
  • Potential for full-time opportunities post-internship

Locations

  • Schlieren, Switzerland

Salary

Estimated Salary Rangemedium confidence

60,000 - 85,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Deep learning frameworks (PyTorch, TensorFlow)intermediate
  • Python programmingintermediate
  • Machine learning algorithms, especially generative models (GANs, VAEs, diffusion models)intermediate
  • Data analysis and visualization toolsintermediate
  • Strong mathematical background (probability, linear algebra)intermediate
  • Problem-solving and research skillsintermediate
  • Team collaboration and communicationintermediate

Required Qualifications

  • Currently pursuing a PhD or Master's degree in Computer Science, Electrical Engineering, or a related field (experience)
  • Strong foundation in machine learning and deep learning fundamentals (experience)
  • Experience with generative models such as GANs, VAEs, or diffusion models (experience)
  • Proficiency in Python and deep learning frameworks (experience)

Preferred Qualifications

  • Prior publications in top ML conferences (e.g., NeurIPS, ICML, CVPR) (experience)
  • Experience with large-scale data processing and model training (experience)
  • Knowledge of audio, video, or multimodal generative modeling (experience)
  • Familiarity with Sony's research areas in AI and media technologies (experience)

Responsibilities

  • Conduct research on state-of-the-art deep generative models
  • Implement and experiment with novel architectures and algorithms
  • Analyze model performance and generate insights for improvements
  • Collaborate with research team to prototype applications
  • Document findings and contribute to internal reports or publications

Benefits

  • general: Competitive hourly stipend
  • general: Flexible work hours and remote options
  • general: Access to Sony's state-of-the-art research facilities
  • general: Mentorship from leading AI researchers
  • general: Networking opportunities within Sony's innovation ecosystem
  • general: Potential for full-time opportunities post-internship

Target Your Resume for "Research Intern for Deep Generative Modeling" , Sony

Get personalized recommendations to optimize your resume specifically for Research Intern for Deep Generative Modeling. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Research Intern for Deep Generative Modeling" , Sony

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

SwitzerlandSchlierenTechnologyElectronics

Answer 10 quick questions to check your fit for Research Intern for Deep Generative Modeling @ Sony.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.