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Aiml - Machine Learning Engineer Foundation Model Services jobs at Apple in Switzerland, Zurich
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Switzerland
Zurich
21 jobs found
26.08.2025
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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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25.08.2025
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Apple Process Automation Engineer Switzerland, Zurich, Zurich
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Description:
As a Process Automation Engineer, you will play a critical role in developing and optimizing processes that support next-generation hardware innovations. You will work closely with cross-functional teams including design, materials, metrology, and equipment engineering, with a focus on creating robust, scalable processes from initial proof-of-concept through to high volumes. Your responsibilities will include developing new process capabilities including equipment responsibility, planning and executing design of experiments (DOE), conducting failure mode and root cause analyses, and contributing to process integration and yield improvement strategies. Flexibility and adaptability are essential as you will be navigating in a dynamic development environment with evolving priorities.
- M.S. Degree or higher in Mechanical Engineering, Physics, Materials Science, or a related field.
- Minimum of 5 years of relevant experience in a manufacturing or product development environment.
- Experience working with customized equipment and automation solutions.
- Hands-on expertise with DOE, GR&R studies, SPC, and data analysis tools.
- Experience in CAD software and generating technical drawings.
- Programming skills, especially in Python, for data analysis or automation tasks
- Proficiency in developing module processes and implementing data-driven process improvements.
- Background in micro-assembly processes and pick-and-place (PnP) equipment.
- Strong background in failure mode analysis, root cause investigation, and driving solutions to improve product yield and quality.
- Open-minded and adaptable in fast-paced, evolving environments.
- Creative, quick-thinking, persistent, and empathetic with a team-oriented mindset.
- Knowledge in optical and mechanical metrology techniques.
- Knowledge of surface coating, activation, and bonding adhesion technologies.
- Demonstrated experience in leading projects from early development stages to high-volume production.
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24.08.2025
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Apple Materials Process Engineer Switzerland, Zurich, Zurich
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Description:
As a Materials and Process Engineer, you will play a critical role in developing and optimizing processes that support next-generation hardware innovations. You will work closely with cross-functional teams including design, materials, metrology, and equipment engineering, with a focus on creating robust, scalable processes from initial proof-of- concept through to high volumes. Your responsibilities will include developing new process capabilities including equipment responsibility, planning and executing design of experiments (DOE), conducting failure mode and root cause analyses, and contributing to process integration and yield improvement strategies. Flexibility and adaptability are essential as you will be navigating in a dynamic development environment with evolving priorities.
- M.S. Degree or higher in Materials Science, Chemistry, Mechanical Engineering or
- a related field.
- Relevant experience in a material, or product development environment.
- Proven expertise in materials characterization, such as FTIR, Raman, DSC, DMA.
- Proficiency in surface chemistry, coating, and activation, as well as bonding and adhesion technologies.
- Hands-on expertise with DOE, SPC and data analysis tools.
- Experience with advanced materials such as polymers, composites and ceramics
- Demonstrated experience in leading projects from early development stages to high-volume production.
- Strong background in failure mode analysis, root cause investigation, and driving
- solutions to improve product yield and quality.
- Open-minded and adaptable in fast-paced, evolving environments.
- Creative, quick-thinking, persistent, and empathetic with a team-oriented mindset.
- Fundamental understanding of optics, optical coatings and light-matter interactions
- Knowledge in optical and mechanical metrology techniques.
- Programming skills, especially in Python, for data analysis or automation tasks.
- Background in micro-assembly processes and pick-and-place (PnP) equipment.
- Experience in CAD software and generating technical drawings.
- Apple is an equal opportunity employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities.
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24.08.2025
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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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24.08.2025
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Apple Algorithm Engineer - Maps Navigation Team Switzerland, Zurich, Zurich
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Description:
If you want to develop graph algorithms with large data sets and you understand the importance of a rich, accurate, and timely user experience, this may be a role for you.
We have a modern development process, analyzing our initial algorithms, implementing and experimenting as we go, adjusting and optimizing our solutions to ultimately provide the best routing experience. We support a production system and as such, support outside of standard business hours may occasionally be required to assist with various team and system needs such as video calls and other project requirements.Whether it is for driving, walking, cycling, or transit, our users rely on us to help get them to where they need to go. As an algorithm engineer on our Maps Navigation Team, your responsibilities will include:- Making route-finding algorithms more efficient.- Designing and implementing new solutions.- Working on high performance code using C++.- Participating in design and code reviews.- Own the efficiency and accuracy of your designs, as well as being responsible for overseeing your own work through the development and implementation life-cycles, ultimately delivering excellent end-results.- Collaborate with other engineers and teams internationally and cross-functionally to deliver a high quality experience to our customers.- Influencing the future product direction for our features.- Assist with team and support needs to ensure our systems are well maintained and our projects remain on schedule.- Occasionally provide support outside of standard business hours to aid with various team and system needs such as video calls and other project requirements.
- Strong understanding of graph algorithms and data structure design.
- Practical experience in making an algorithm perform efficiently upon implementation.
- Ability to write complex, highly-performant, and reliable solutions, preferably in C++.
- Excellent problem solving and analytical skills, valuing a scientific approach by using experimentation and critical thinking to drive and validate high quality results.
- Good interpersonal and communication skills, possessing the ability to work both independently and in a global team environment.
- Experience with maps, routing, navigation, or geometrical computation.
- Experience in writing Python tools.
- Experience with macOS or Linux.
- MS or PhD in computer science, mathematics, or related fields with emphasis on algorithm design & implementation, along with relevant industry experience.
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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.
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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