ASE - Machine Learning Engineer, MLPT
About The Position
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. 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 inform product evolution through measurement, evaluation, and analysis of the user experience. You will partner with cross-functional teams 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.
Requirements
- 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)
- Experience in data science and statistical data analysis
- Experience with natural language processing and machine learning frameworks such as PyTorch and Tensorflow
- Demonstrated ability to connect and collaborate with others
- Bachelor’s degree in Computer Science or a related field or equivalent industry experience in software engineering
Nice To Haves
- Experience in designing human-in-the-loop experiments, collecting high quality evaluation data to inform product decision making
- Experience with prompt engineering, fine-tuning, generative AI technology
- Experience in building evaluation solution powered by LLM is a plus
- Experience in designing and developing large-scale data processing systems
- Passion for building phenomenal products and curiosity to learn
Responsibilities
- 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
- inform product evolution through measurement, evaluation, and analysis of the user experience
- partner with cross-functional teams 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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
