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Aiml -machine Learning Research Dmli jobs at Apple in Switzerland, Zurich
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Switzerland
Zurich
14 jobs found
26.08.2025
A
Apple AIML - Machine Learning Engineer SII Switzerland, Zurich, Zurich
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Description:
- PhD or MSc in Computer Science, Computer Engineering or a closely related field.
- Experience with modern machine learning algorithms including large language models.
- Strong programming, debugging, and design skills.
- Excellent problem solving, critical thinking, and interpersonal skills.
- Proven industry experience in building product features based on ML.
- Industry experience in implementing and training large language models.
- Experience in reinforcement learning and/or decision making in the context of agentic reasoning
- Experience using deep learning toolkits PyTorch or JAX.
- Detailed knowledge of programming languages Python or Swift.
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26.08.2025
A
Apple Machine Learning Engineer Switzerland, Zurich, Zurich
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Description:
We design and build infrastructures to support features that empowers billions of Siri users. Our team processes tens of trillions of links to find the best content to surface to users through search. We also analyze pages to extract critical features for indexing, ranking. We apply statistical analysis to improve link selection, freshness, retrieval rates, extraction quality, and many others. You’ll have the opportunity to work with large scale systems with trillions of rows and many petabytes of data and incredible complexity. In particular you will work at the intersection between quality and performance, applying machine learning techniques to improve the search relevance inside the constraints that come with a high throughput index serving infrastructure.
- Strong background in ML, with excellent knowledge and good practical skills in major machine learning algorithm
- Industry experience coding skills with at least one of the following programming languages: Go, Java, Python, Scala, C/C++, Rust
- Established experience in algorithms and data structures
- Good interpersonal skills is required; able to work independently as well as in a team
- Experience with information retrieval, RAG, ML applied to search or ads
- Excellent data analytical skills
- Exposure to the challenges of scalable backend infrastructure and performance and how to diagnose, analyse, and resolve them with knowledge of profiling, debugging, tracing tools
- Proficiency with distributed computing platform and technologies such as AWS, GCP, Kubernetes, MapReduce, or similar
- Experience designing and implementing large scale data pipelines
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24.08.2025
A
Apple Machine Learning Research Scientist Generative AI Switzerland, Zurich, Zurich
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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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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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09.07.2025
A
Apple AIML - Machine Learning Engineer Foundation Model Services Switzerland, Zurich, Zurich
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Description:
- Build tools to understand bottlenecks in Inference for different hardwares and use cases.
- Bachelor’s degree or higher in Computer Science or related technical field.
- Industry experience in ML technologies (LLMs, Machine Learning, NLP, Information Retrieval, Statistics).
- Proficient with running applications on Cloud (AWS / Azure or equivalent) using Kubernetes, Docker etc.
- Proficient in building and maintaining systems written in modern languages (eg: Golang, python)
- Experience with high throughput services particularly at supercomputing scale.
- Familiar with one of the popular ML Frameworks like Pytorch, Tensorflow.
- Familiar with fundamental Deep Learning architectures such as Transformers, Encoder/Decoder models.
- Familiarity with Nvidia TensorRT-LLM, vLLLM, DeepSpeed, Nvidia Triton Server etc.
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09.07.2025
A
Apple Machine Learning Engineer Switzerland, Zurich, Zurich
Share
Description:
We design and build infrastructures to support features that empowers billions of Siri users. Our team processes tens of trillions of links to find the best content to surface to users through search. We also analyze pages to extract critical features for indexing, ranking. We apply statistical analysis to improve link selection, freshness, retrieval rates, extraction quality, and many others. You’ll have the opportunity to work with large scale systems with trillions of rows and many petabytes of data and incredible complexity. In particular you will work at the intersection between quality and performance, applying machine learning techniques to improve the search relevance inside the constraints that come with a high throughput index serving infrastructure.
- Strong background in ML, with excellent knowledge and good practical skills in major machine learning algorithm
- Industry experience coding skills with at least one of the following programming languages: Go, Java, Python, Scala, C/C++, Rust
- Established experience in algorithms and data structures
- Good interpersonal skills is required; able to work independently as well as in a team
- Experience with information retrieval, RAG, ML applied to search or ads
- Excellent data analytical skills
- Exposure to the challenges of scalable backend infrastructure and performance and how to diagnose, analyse, and resolve them with knowledge of profiling, debugging, tracing tools
- Proficiency with distributed computing platform and technologies such as AWS, GCP, Kubernetes, MapReduce, or similar
- Experience designing and implementing large scale data pipelines
Expand
12.05.2025
A
Apple Machine Learning Engineer / Generative AI ISE Switzerland, Zurich, Zurich
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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
Expand
Share
Description:
- PhD or MSc in Computer Science, Computer Engineering or a closely related field.
- Experience with modern machine learning algorithms including large language models.
- Strong programming, debugging, and design skills.
- Excellent problem solving, critical thinking, and interpersonal skills.
- Proven industry experience in building product features based on ML.
- Industry experience in implementing and training large language models.
- Experience in reinforcement learning and/or decision making in the context of agentic reasoning
- Experience using deep learning toolkits PyTorch or JAX.
- Detailed knowledge of programming languages Python or Swift.
Expand
These jobs might be a good fit
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