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Apple AIML - Machine Learning Engineer SII Spain, Catalonia, Barcelona 710539635
19.12.2024
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Description
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. As a Sr ML engineer in Global Siri, you will help us build 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 different 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* Communicate and share your findings with the larger ML community and Global Siri teams at Apple
Minimum Qualifications
- Expertise in state-of-the-art LLMs and in-depth knowledge of the latest advancements in the field and a deep understanding of LLM fine-tuning.
- Experience with multilingual data, machine translation and understanding of the complexities and tradeoffs involved when scaling to non-English languages.
- Proficiency in Python and modern ML frameworks such as TensorFlow, PyTorch or JAX.
- Excellent interpersonal skills; able to work in a team as well as independently; can take feedback and iterate on a solution in a collaborative environment.
Preferred Qualifications
- MS or PhD in Computer Science, Artificial Intelligence, Machine Learning or related field
- Experience with RAG, LLM Reasoning, and LLM Agent and/or Machine Translation.
- Experience with or strong interest in agents, tool-use, planning and multi-step reasoning
- Optionally experience with LLM reinforcement learning techniques.
- Publication record in relevant conferences demonstrating ability to conduct innovative research in deep learning or a track record in applying deep learning techniques to products.
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