Software Engineer (AI/ML), Ai & Data Platforms

The people here at Apple don’t just build products — we craft the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that supports the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. A passion for product ownership and track record will prove critical to success on our team. Be ready to make something extraordinary when here. Multifaceted, encouraging people and innovative, industry-defining technologies are the norm at Apple. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day to day basis? If so, Apple’s AI & Data Platform (AiDP) team is seeking a Software Engineer to work on building and scaling best in class data and reporting apps presenting metrics & performance indicators with the least latency and outstanding user experience.. You will engage directly with key business partners to understand the business strategies and solution needs. You will drive and lead functional & technical discussions with development teams and expected to design and own end to end applications. You will enjoy the benefits of working in a fast growing business where you are inspired to "Think Different" and where your efforts play a key role in the success of Apple's business. This position is an extraordinary opportunity for a competent, experienced, and results-oriented machine learning engineer to define and build some of the best-in-class machine learning solutions and tools for Apple.

Description

As a Machine Learning Engineer, you will work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of innovative AI models and systems that directly impact the capabilities and performance of Apple’s products and services. You will implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments. You will develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains. You will design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will also implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance. There are massive opportunities for you deliver impactful influences to Apple.

Minimum Qualifications

BS in Computer Science or related field or equivalent. 3+ years of machine learning engineering experience in feature engineering, model training, model serving, model monitoring and model refresh management. Experience developing AI/ML systems at scale in production or in high-impact research environments. Passionate about computer vision, natural language processing, especially in LLMs and Generative AI systems. Knowledge with the common frameworks and tools such as PyPorch or TensorFlow.

Preferred Qualifications

Experience in Anomaly detection and forecasting & related methodologies Experience and proficiency in python & writing efficient SQLs. Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment. Proven experience with transformer models such as BERT, GPT etc., and a proven understanding of their underlying principles is a plus Data Visualization Tools: Proficient in data visualization, with experience in software such as Superset, Streamlit, Tableau, Business Objects, and Looker