We are seeking a driven and analytical Software Engineer to join Apple's Generative AI Evaluations team. 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.
As a Software Development Engineer on the Evaluations Team, you'll join a phenomenal team of hardworking engineers and will be entrusted with a range of responsibilities. Your tasks will include:\n\nDesigning and developing platform features for helping solution developers to experiment and identify optimal configurations for delivering high quality GenAI applications.\n\nEvaluating and analyzing the performance of GenAI applications, and actively collaborating with the team in driving performance improvements\n\nTranslating the latest research into reliable and scalable evaluations that can deliver high quality experiences for our users.\n\nActively engaging in all aspects of feature development, from ideation and experimentation to deployment and maintenance.\n\nCommunicating complex technical topics effectively to a diverse audience.
2+ years of software engineering experience\n\nProgramming skills in Python\n\nExperience developing scalable and robust services with FastAPI or similar frameworks.\n\nExperience in Machine Learning, with a particular emphasis on Large Language Models (LLMs), Retrieval Augmented Generation (RAG) or GenAI Agents \n\nExperience with evaluating and optimizing Generative AI platforms or applications\n\nBachelor's in Computer Science, Artificial Intelligence, Machine Learning, or a related field or experience
Experience with GenAI RAG and Agent evaluation frameworks like RAGAS, DeepEvals, OpenEvals, AgentEvals or OpenAI Evals\nFamiliarity with LLM Observability techniques and best practices\nProven ability to comprehend, interpret, and apply cutting-edge research into tangible applications\nProven 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\nCustomer-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\nExperience with cloud platforms like AWS, Google Cloud Platform, or Azure\nKnowledge of containerization and orchestration tools like Docker and Kubernetes\nCreative, collaborative and project focused with an ability to work hands-on in multi-functional teams\nExcellent communication skills with the ability to communicate with all stakeholders effectively, including senior leadership
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: d1ec5b9f2fc202b68cf2b40c6d114aff
- Posted 3 hours ago
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