Machine Learning Engineer

Summary

Posted: Mar 27, 2025
Weekly Hours: 40
Role Number:200595852

The people here at Apple don’t just build products — we craft the kind of wonder that’s revolutionized entire industry. It’s the diversity of those people and their ideas that support 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

• A Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a closely related field.
• 3+ years of machine learning engineering experience in feature engineering, ML model development & training, model serving, model monitoring and model refresh management.
• Experience with SQL and NoSQL databases.
• Experience developing AI/ML systems at scale in production or in high-impact research environments.
• Strong proficiency in Python and experience with relevant libraries (e.g., scikit-learn, pandas, NumPy).
• Experience with at least one deep learning framework (e.g., TensorFlow, PyTorch).
• Solid understanding of data structures, data modeling, and software architecture principles.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Good understanding of statistical analysis and data analysis techniques.
• Intuitive understanding of machine learning algorithms, supervised and unsupervised modeling techniques and their performance characteristics.
• Excellent communication and collaboration skills.
• Strong analytical and problem-solving skills.

Preferred Qualifications

• Master's degree Computer Science, Engineering, Mathematics, Statistics, or a closely related field.
• Experience with big data technologies (e.g., Spark, Hadoop) and Cloud platforms (e.g., AWS, Azure, GCP) and their ML services.
• Experience with containerisation technologies (e.g., Docker, Kubernetes).
• Experience with building and deploying machine learning models in production environments at scale.
• Experience in Anomaly detection and forecasting & related methodologies.
• Proven experience with transformer models such as BERT, GPT etc., and a proven understanding of their underlying principles is a plus.
• Proficient in data visualization, with experience in software such as Superset, Streamlit, Tableau, Business Objects, and Looker.
• Development experience with autonomous agents, reinforcement learning, or other agent-based modeling techniques. Experience with building and deploying agentic systems in real-world applications.