AIML - Sr. Applied Machine Learning Engineer Answers, Knowledge & Information (AKI)
About The Position
Do you want to make Siri and Apple products smarter for our users? The Siri and Information Intelligence team is redefining how hundreds of millions of people use their devices to get information. We are an Applied ML team pushing the limits on real-time augmented information retrieval and generation, information safety and search technologies, while also responsible for a few user-facing production services. We are part of a wider effort to power information across a variety of Apple products – including: Siri, Spotlight, Safari, Messages, Lookup, and more. We are looking for candidates with applied machine learning experience and strong software engineering skills. As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. Our team includes a diversity of backgrounds from applied machine learning engineers with a focus on ML and LLM to experienced distributed systems engineers. You will be using and improving upon the latest advancements in machine learning and software engineering to understand user queries and intents, retrieve and rank documents, and generate helpful answers, and work on horizontal areas on data generation, evaluation, and safety.
Requirements
- Experience with using: PyTorch, TensorFlow, or JAX for training and deploying deep learning models
- Proficient in at least two programming languages such as: Go, Swift, Python, C/C++, or Java
- 3+ years of industry related experience, working in collaborative environments
- Bachelors in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience
Nice To Haves
- Analyzing search ranking and relevance requirements issues and opportunities
- Building machine-learned models for search relevance ranking query understanding and questioning
- Understanding product requirements then translating them into modeling tasks and engineering tasks
- Masters or PhD in the area of Computer Science or equivalent, or a related
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
