Sr. Software Engineer (Framework Solutions), AI & Data Platforms (AiDP

Software Engineer (GenAI Evaluations), AI & Data Platforms (AiDP)

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple's Information Systems and Technology (IS&T) organization. From Apple  Apple's website to data centers around the globe, IS&T's engineers, designers, and creators manage the massive systems and services that power Apple. IS&T is the engine behind everything Apple does for employees and customers.

It's not traditional IT — it's Apple's central nervous system. From supporting 2.5 billion active Apple devices to securing every transaction, download, and interaction, IS&T makes the impossible feel effortless. Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here. AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

In this role, you will help define how we measure, monitor, and improve the performance of AI systems that power next-generation user experiences. You will design robust evaluation frameworks, translate cutting-edge research into practical tooling, and collaborate closely with cross-functional teams to ensure our GenAI solutions are trustworthy, efficient, and high-quality. This is a unique opportunity to influence both the inner workings of Apple's AI platforms and the broader standard for evaluating generative applications 'll join a phenomenal team of hardworking engineers and will be entrusted with a range of responsibilities.

Your tasks will include:
Designing and developing platform features for helping solution developers to experiment and identify optimal configurations for delivering high quality GenAI applications. Evaluating and analyzing the performance of GenAI applications, and actively collaborating with the team in driving performance improvements Translating the latest research into reliable and scalable evaluations that can deliver high quality experiences for our users. Actively engaging in all aspects of feature development, from ideation and experimentation to deployment and maintenance.

Communicating complex technical topics effectively to a diverse audience.

• Bachelor's in Computer Science, Artificial Intelligence, Machine Learning, or a related field or experience
• 2+ years of software engineering experience
• Programming skills in Python
• Experience developing scalable and robust services with FastAPI or similar frameworks.
• Experience in Machine Learning, with a particular emphasis on Large Language Models (LLMs), Retrieval Augmented Generation (RAG) or GenAI Agents
• Experience with evaluating and optimizing Generative AI platforms or applications

• Experience with GenAI RAG and Agent evaluation frameworks like RAGAS, Deep Evals, Open Evals, Agent Evals or OpenAI Evals
• Familiarity with LLM Observability techniques and best practices
• Proven ability to comprehend, interpret, and apply cutting-edge research into tangible applications
• Proven problem-solving and leadership abilities, with the capacity to steer the team's research and build practical applications in a collaborative and fast-paced environment
• Customer-focused with strong business acumen, capable of translating business needs into impactful technical solutions and a proven history of successfully shipping products that drive significant outcomes
• Experience with cloud platforms like AWS, GCP, or Azure
• Knowledge of containerization and orchestration tools like Docker and Kubernetes
• Creative, collaborative and project focused with an ability to work hands-on in multi-functional teams
• Excellent communication skills with the ability to communicate with all stakeholders effectively, including senior leadership
• Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field

At Apple, base pay is…