AIML - Machine Learning Engineer, Knowledge Quality, Siri and Information Intelligence
Apple
Full-time
On-site
Seattle, Washington, United States
The Apple Knowledge Quality Team is building the next-generation of machine learning solutions for Knowledge Q&A at Apple and help power features including Siri and Spotlight. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day.
Description
The Knowledge Quality team is looking for extraordinary Machine Learning engineers to join a team of world-experts on Large-Scale Data Management and Machine Learning Systems. Together, you will be pushing the boundaries of Knowledge Question Answering in Siri. As part of the Knowledge Quality team, you will design and develop features for a platform that touches upon large-scale data management, machine-learning and deep learning systems over graph data and web documents. You will have the outstanding opportunity to change how hundreds of millions of people use their computers and mobile devices to search and provide users with results that best satisfy their information seeking needs.
Minimum Qualifications
- Proficiency in mainstream programming languages such as Python, Scala, and Go
- Experience with continuous integration and continuous development solutions
- Experience working with large data sets, knowledge graph, and end-to-end pipelines, ideally using the Apache software stack (e.g. Spark)
- Working experience with natural language processing and machine learning frameworks such as PyTorch and Tensorflow
- Demonstrated ability to connect and collaborate with others
- Graduate degree in Computer Science or a related field or equivalent industry experience in software engineering
Key Qualifications
Preferred Qualifications
- Experience with prompt engineering, fine-tuning, evaluating for large language models
- Experience with retrieval-augmented generation or generative AI technology is a plus
- Experience in designing and developing large-scale data processing systems
- Excellent problem-solving and analytic skills
- Passion for building phenomenal products and curiosity to learn
Education & Experience
Additional Requirements
Pay & Benefits
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.