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 ID to 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.
Description
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 at scale.
You'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.
Preferred Qualifications
Experience with GenAI RAG and Agent evaluation frameworks like RAGAS, DeepEvals, OpenEvals, AgentEvals 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
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Master's in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Minimum Qualifications
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
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 .
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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