Machine Learning Engineer, Global Siri
Apple
Machine Learning Engineer, Global Siri
Job Description
The Global Product Experience team creates groundbreaking user experiences across Siri markets using natural language processing (NLP) and machine learning (ML). The features we build are redefining how hundreds of millions of people across all Siri languages are connected to the information they are looking for and the apps they love to use through various devices. As part of this group, you will work in one of the most exciting environments with state-of-the-art ML and NLP models applied to production problems. We build ML technologies that scale to all Siri languages. You will have the opportunity to innovate with multilingual NLP models to help Siri understand different languages and user queries better! In Global Siri, we are responsible for the end-to-end user experience in all Siri markets. This means we build new features and scale them across Siri languages and devices. As a Senior ML engineer in Global Siri, you will help us build and apply ML solutions to scale new features, utterance understanding and natural language generation faster across different languages. You should be able to work with large scale systems, write high quality code and are comfortable in contributing to existing systems and developing new ones. Communication skills will be required to coordinate work across multiple teams. Specific responsibilities include: - Work on cutting-edge technology at the intersection of agents & multilinguality - Understand how agentic LLMs learn capabilities across languages - Develop mechanisms to automate data creation and data filtering across different languages - Find innovative solutions to scale fine-tuning approaches to multiple languages - Devise automated approaches to evaluate the performance of agents across multiple languages - Build and ship ML based products at high quality for worldwide Apple customers
Locations
- Barcelona, Barcelona, Spain 8193
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- natural language processing (NLP)intermediate
- machine learning (ML)intermediate
- multilingual NLP modelsintermediate
- utterance understandingintermediate
- natural language generationintermediate
- working with large scale systemsintermediate
- writing high quality codeintermediate
- contributing to existing systemsintermediate
- developing new systemsintermediate
- communication skillsintermediate
- coordinating work across multiple teamsintermediate
- agentic LLMsintermediate
- automating data creationintermediate
- data filtering across different languagesintermediate
- scaling fine-tuning approachesintermediate
- automated evaluation of agent performanceintermediate
- building and shipping ML based productsintermediate
Required Qualifications
- Expertise in innovative LLMs and in-depth knowledge of the latest advancements in the field and a deep understanding of LLM fine-tuning. (experience)
- Experience with multilingual data, machine translation and understanding of the complexities and tradeoffs involved when scaling to non-English languages. (experience)
- Proficiency in Python and modern ML frameworks such as TensorFlow, PyTorch or JAX. (experience)
- Excellent interpersonal skills; happy to work in a team as well as independently; can take and give feedback; can iterate on a solution in a collaborative environment. (experience)
Preferred Qualifications
- MS or PhD in Computer Science , Artificial Intelligence, Machine Learning or equivalent (degree in phd in computer science)
- Experience with RAG, LLM Reasoning, and LLM Agent and/or Machine Translation. (experience)
- Experience shipping production grade ML or DL based applications. (experience)
- Experience with or strong curiosity about agents, tool-use, planning and multi-step reasoning (experience)
- Optionally experience with LLM reinforcement learning techniques. (experience)
Responsibilities
- In Global Siri, we are responsible for the end-to-end user experience in all Siri markets. This means we build new features and scale them across Siri languages and devices. As a Senior ML engineer in Global Siri, you will help us build and apply ML solutions to scale new features, utterance understanding and natural language generation faster across different languages. You should be able to work with large scale systems, write high quality code and are comfortable in contributing to existing systems and developing new ones. Communication skills will be required to coordinate work across multiple teams. Specific responsibilities include: - Work on cutting-edge technology at the intersection of agents & multilinguality - Understand how agentic LLMs learn capabilities across languages - Develop mechanisms to automate data creation and data filtering across different languages - Find innovative solutions to scale fine-tuning approaches to multiple languages - Devise automated approaches to evaluate the performance of agents across multiple languages - Build and ship ML based products at high quality for worldwide Apple customers
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Machine Learning Engineer, Global Siri
Apple
Machine Learning Engineer, Global Siri
Job Description
The Global Product Experience team creates groundbreaking user experiences across Siri markets using natural language processing (NLP) and machine learning (ML). The features we build are redefining how hundreds of millions of people across all Siri languages are connected to the information they are looking for and the apps they love to use through various devices. As part of this group, you will work in one of the most exciting environments with state-of-the-art ML and NLP models applied to production problems. We build ML technologies that scale to all Siri languages. You will have the opportunity to innovate with multilingual NLP models to help Siri understand different languages and user queries better! In Global Siri, we are responsible for the end-to-end user experience in all Siri markets. This means we build new features and scale them across Siri languages and devices. As a Senior ML engineer in Global Siri, you will help us build and apply ML solutions to scale new features, utterance understanding and natural language generation faster across different languages. You should be able to work with large scale systems, write high quality code and are comfortable in contributing to existing systems and developing new ones. Communication skills will be required to coordinate work across multiple teams. Specific responsibilities include: - Work on cutting-edge technology at the intersection of agents & multilinguality - Understand how agentic LLMs learn capabilities across languages - Develop mechanisms to automate data creation and data filtering across different languages - Find innovative solutions to scale fine-tuning approaches to multiple languages - Devise automated approaches to evaluate the performance of agents across multiple languages - Build and ship ML based products at high quality for worldwide Apple customers
Locations
- Barcelona, Barcelona, Spain 8193
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- natural language processing (NLP)intermediate
- machine learning (ML)intermediate
- multilingual NLP modelsintermediate
- utterance understandingintermediate
- natural language generationintermediate
- working with large scale systemsintermediate
- writing high quality codeintermediate
- contributing to existing systemsintermediate
- developing new systemsintermediate
- communication skillsintermediate
- coordinating work across multiple teamsintermediate
- agentic LLMsintermediate
- automating data creationintermediate
- data filtering across different languagesintermediate
- scaling fine-tuning approachesintermediate
- automated evaluation of agent performanceintermediate
- building and shipping ML based productsintermediate
Required Qualifications
- Expertise in innovative LLMs and in-depth knowledge of the latest advancements in the field and a deep understanding of LLM fine-tuning. (experience)
- Experience with multilingual data, machine translation and understanding of the complexities and tradeoffs involved when scaling to non-English languages. (experience)
- Proficiency in Python and modern ML frameworks such as TensorFlow, PyTorch or JAX. (experience)
- Excellent interpersonal skills; happy to work in a team as well as independently; can take and give feedback; can iterate on a solution in a collaborative environment. (experience)
Preferred Qualifications
- MS or PhD in Computer Science , Artificial Intelligence, Machine Learning or equivalent (degree in phd in computer science)
- Experience with RAG, LLM Reasoning, and LLM Agent and/or Machine Translation. (experience)
- Experience shipping production grade ML or DL based applications. (experience)
- Experience with or strong curiosity about agents, tool-use, planning and multi-step reasoning (experience)
- Optionally experience with LLM reinforcement learning techniques. (experience)
Responsibilities
- In Global Siri, we are responsible for the end-to-end user experience in all Siri markets. This means we build new features and scale them across Siri languages and devices. As a Senior ML engineer in Global Siri, you will help us build and apply ML solutions to scale new features, utterance understanding and natural language generation faster across different languages. You should be able to work with large scale systems, write high quality code and are comfortable in contributing to existing systems and developing new ones. Communication skills will be required to coordinate work across multiple teams. Specific responsibilities include: - Work on cutting-edge technology at the intersection of agents & multilinguality - Understand how agentic LLMs learn capabilities across languages - Develop mechanisms to automate data creation and data filtering across different languages - Find innovative solutions to scale fine-tuning approaches to multiple languages - Devise automated approaches to evaluate the performance of agents across multiple languages - Build and ship ML based products at high quality for worldwide Apple customers
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Engineer, Global Siri @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs