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Switzerland
Zurich
7 jobs found
24.08.2025
A
Apple Machine Learning Research Scientist Generative AI Switzerland, Zurich, Zurich
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PhD or MSc in Computer Science, Computer Engineering or a closely related field. Experience with building and training modern machine learning algorithms including large language models. Industry experience in implementing...
Description:
- PhD or MSc in Computer Science, Computer Engineering or a closely related field.
- Experience with building and training modern machine learning algorithms including large language models.
- Industry experience in implementing and training large language models.
- Strong programming, debugging, and design skills.
- Excellent problem solving, critical thinking, and interpersonal skills. Ability to work effectively in interdisciplinary teams and communicate complex ideas clearly to both technical and non-technical stakeholders.
- Proven industry experience in building product features based on ML.
- Strong understanding of machine learning principles and practices, with deep knowledge in generative AI models and architectures.
- Proven track record in designing, training, and optimizing large-scale language models (LLMs) and/or multi-modal foundation models.
- Experience in decision making and reinforcement learning in the context of agentic reasoning.
- Proficiency in programming languages commonly used in AI research, such as Python, along with experience in AI frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
- Exceptional ability to tackle complex problems, analyze data, and derive insights to improve model performance and efficiency. Demonstrated creativity in approaching challenges and innovating solutions that push the boundaries of current technology.
- A solid history of research contributions, including publications in reputable conferences or journals related to AI and NLP.
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21.07.2025
A
Apple Machine Learning Research Scientist Generative AI Switzerland, Zurich, Zurich
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PhD or MSc in Computer Science, Computer Engineering or a closely related field. Experience with building and training modern machine learning algorithms including large language models. Industry experience in implementing...
Description:
- PhD or MSc in Computer Science, Computer Engineering or a closely related field.
- Experience with building and training modern machine learning algorithms including large language models.
- Industry experience in implementing and training large language models.
- Strong programming, debugging, and design skills.
- Excellent problem solving, critical thinking, and interpersonal skills. Ability to work effectively in interdisciplinary teams and communicate complex ideas clearly to both technical and non-technical stakeholders.
- Proven industry experience in building product features based on ML.
- Strong understanding of machine learning principles and practices, with deep knowledge in generative AI models and architectures.
- Proven track record in designing, training, and optimizing large-scale language models (LLMs) and/or multi-modal foundation models.
- Experience in decision making and reinforcement learning in the context of agentic reasoning.
- Proficiency in programming languages commonly used in AI research, such as Python, along with experience in AI frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
- Exceptional ability to tackle complex problems, analyze data, and derive insights to improve model performance and efficiency. Demonstrated creativity in approaching challenges and innovating solutions that push the boundaries of current technology.
- A solid history of research contributions, including publications in reputable conferences or journals related to AI and NLP.
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These jobs might be a good fit
12.05.2025
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Apple Machine Learning Engineer / Generative AI ISE Switzerland, Zurich, Zurich
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PhD/MSc or equivalent experience in Computer Science, Computer Engineering or a closely related field. Industry experience in building product features based on ML including generative models. Experience with image processing,...
Description:
- PhD/MSc or equivalent experience in Computer Science, Computer Engineering or a closely related field
- Industry experience in building product features based on ML including generative models
- Experience with image processing, computer vision, speech recognition, or natural language processing
- Strong programming, debugging, and design skills
- Excellent problem solving, critical thinking, and interpersonal skills
- Ability to produce creative and innovative solutions to challenging problems
- Enthusiastic about building end-to-end experiences using machine learning
- Experience building deep learning toolkits with modern tools
- Detailed knowledge of one or more of the following programming languages: C++, C, Objective-C, or Swift
- Detailed knowledge of a common ML toolchain such as PyTorch, Tensorflow, or JAX
- Proficiency with Unix, iOS, or macOS development
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04.05.2025
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Apple Machine Learning Engineer / Generative AI ISE Switzerland, Zurich, Zurich
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PhD or MSc in Computer Science, Computer Engineering or a closely related field. Industry experience in building product features based on ML including generative models. Experience with image processing, computer...
Description:
- PhD or MSc in Computer Science, Computer Engineering or a closely related field
- Industry experience in building product features based on ML including generative models
- Experience with image processing, computer vision, speech recognition, or natural language processing
- Strong programming, debugging, and design skills
- Excellent problem solving, critical thinking, and interpersonal skills
- Ability to produce creative and innovative solutions to challenging problems
- Enthusiastic about building end-to-end experiences using machine learning
- Experience building deep learning toolkits with modern tools
- Detailed knowledge of one or more of the following programming languages: C++, C, Objective-C, or Swift
- Detailed knowledge of a common ML toolchain such as PyTorch, Tensorflow, or JAX
- Proficiency with Unix, iOS, or macOS development
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These jobs might be a good fit
21.04.2025
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Apple Research Intern – Human-Centric 3D Generative Models Switzerland, Zurich, Zurich
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Strong understanding of generative models and/or multi-modal foundation models. Strong understanding of neural rendering, 3D representations and Gaussian Splatting. Fluency in Python and Machine Learning Frameworks (i.e. PyTorch) is required....
Description:
This position requires a highly motivated individual who wants to join us in the fast-moving field of large-scale generative models for generation of human-centric 3D representations.You will be responsible for developing, implementing, evaluating, and improving algorithms that model humans in complex and diverse scenarios in a photorealistic and 3D-consistent way.
- Strong understanding of generative models and/or multi-modal foundation models.
- Strong understanding of neural rendering, 3D representations and Gaussian Splatting.
- Fluency in Python and Machine Learning Frameworks (i.e. PyTorch) is required.
- Fluency in English is required.
- Excellent communication and collaboration skills.
- Demonstrable problem solving and analytical thinking abilities.
- Currently enrolled in PhD or Masters degree in Computer Science or equivalent. PhD degree paths are preferred for research focused internships.
- (Please note: At the end of the internship, you must return to university to continue your education, or the internship must be the last requirement for you to graduate.)
- Availability for 6 months minimum is preferred.
- Hands-on experience with 3D generative models, gaussian splatting, or vision foundation models.
- Publication record at top conferences such as CVPR, ICCV, ECCV, ICLR, NeurIPS or SIGGRAPH is a plus.
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20.04.2025
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Apple AIML -Machine Learning Research DMLI Switzerland, Zurich, Zurich
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Demonstrated expertise in deep learning with a publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL). Deep understanding of multi-task, multi-modal machine learning domain. Proficient...
Description:
We believe that the most interesting problems in deep learning research arise when we try to apply learning to real-world use cases, and this is also where the most important breakthroughs come from. You will work with a close-knit and fast-growing team of world-class engineers and scientists to tackle some of the most challenging problems in foundation models and deep learning, including natural language processing, multi-modal understanding, and combining learning with knowledge. You will have opportunities to identify and develop novel applications of deep learning in Apple products. You will see your ideas not only published in papers, and also improve the experience of millions of users.
- Demonstrated expertise in deep learning with a publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL)
- Deep understanding of multi-task, multi-modal machine learning domain
- Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow
- PhD, or equivalent practical experience, in Computer Science, or related technical field
- A track record in applying deep learning techniques to shipping products
- Multi-modal perception for existing products and future hardware platforms
- On-device intelligence and learning with strong privacy protections
- Ability to quickly prototype ideas / solutions, perform critical analysis, and use creative approaches for solving complex problems.
- Ability to collaborate closely with globally distributed teams.
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06.04.2025
A
Apple Machine Learning Engineer / Generative AI ISE Switzerland, Zurich, Zurich
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PhD or MSc in Computer Science, Computer Engineering or a closely related field. Industry experience in building product features based on ML including generative models. Experience with image processing, computer...
Description:
- PhD or MSc in Computer Science, Computer Engineering or a closely related field.
- Industry experience in building product features based on ML including generative models
- Experience with image processing, computer vision, speech recognition, or natural language processing Strong programming, debugging, and design skills
- Excellent problem solving, critical thinking, and interpersonal skills
- Ability to produce creative and innovative solutions to challenging problems
- Enthusiastic about building end-to-end experiences using machine learning.
- Experience building deep learning toolkits with modern tools
- Detailed knowledge of one or more of the following programming languages: C++, C, Objective-C, or Swift Detailed knowledge of a common ML toolchain such as PyTorch, Tensorflow, or JAX
- Proficiency with Unix, iOS, or macOS development
Show more
These jobs might be a good fit
Share
PhD or MSc in Computer Science, Computer Engineering or a closely related field. Experience with building and training modern machine learning algorithms including large language models. Industry experience in implementing...
Description:
- PhD or MSc in Computer Science, Computer Engineering or a closely related field.
- Experience with building and training modern machine learning algorithms including large language models.
- Industry experience in implementing and training large language models.
- Strong programming, debugging, and design skills.
- Excellent problem solving, critical thinking, and interpersonal skills. Ability to work effectively in interdisciplinary teams and communicate complex ideas clearly to both technical and non-technical stakeholders.
- Proven industry experience in building product features based on ML.
- Strong understanding of machine learning principles and practices, with deep knowledge in generative AI models and architectures.
- Proven track record in designing, training, and optimizing large-scale language models (LLMs) and/or multi-modal foundation models.
- Experience in decision making and reinforcement learning in the context of agentic reasoning.
- Proficiency in programming languages commonly used in AI research, such as Python, along with experience in AI frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
- Exceptional ability to tackle complex problems, analyze data, and derive insights to improve model performance and efficiency. Demonstrated creativity in approaching challenges and innovating solutions that push the boundaries of current technology.
- A solid history of research contributions, including publications in reputable conferences or journals related to AI and NLP.
Show more
These jobs might be a good fit
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