About The Position

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.

Requirements

  • 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

Nice To Haves

  • 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
  • Master’s in Computer Science, Artificial Intelligence, Machine Learning, or a related field

Responsibilities

  • 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.
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