Staff Machine Learning Engineer
Job Summary
Job Description
As a Staff Machine Learning Engineer, you will have the opportunity to shape upcoming products at Apple. Your responsibilities include conducting research and development on deep learning and large language models for AI-powered products. You will develop, fine-tune, and evaluate domain-specific Large Language Models for tasks like summarization and question answering. You will also be involved in applying cutting-edge research in generative AI to create production-ready technologies and translate product requirements into modeling and engineering tasks. Staying up-to-date with advancements in deep learning and large language models is also a key part of the role.
Must have:
- Strong machine learning and deep learning fundamentals.
- Hands-on experience in fine-tuning deep learning and large language models.
- Developing and evaluating domain-specific Large Language Models.
- Understanding product requirements and translating them into modeling tasks.
2 skills required
Job Details
As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for highly motivated machine learning engineers and researchers having strong machine learning and deep learning fundamentals with hands-on experience in fine-tuning deep learning and large language models. This role will have the following responsibilities: - Conduct research and development on state-of-the-art deep learning and large language models for various tasks and applications in Apple’s AI-powered products - Developing, fine-tuning, and evaluating domain-specific Large Language Models for various NLP tasks including summarization, question answering, search relevance/ranking, entity linking and query understanding problems - Conducting applied research to transfer the cutting edge research in generative AI to production ready technologies - Understanding product requirements, translate them into modeling tasks and engineering tasks - Stay up to date with the latest advancements and research in deep learning and large language models
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