Would you like a chance to create a significant impact, working alongside world-class experts and using innovative technologies to push the boundaries of what's possible? At Apple, we believe in creating technology that enriches lives and empowers creativity. You'll play a pivotal role in developing Apple Intelligence, driving the next generation of groundbreaking products across all Apple platforms.
As a Backend Engineer in AIML Evaluation, you will design and integrate scalable architectures and build core APIs, frameworks, and libraries that enable Modeling and Evaluation teams to efficiently assess AI/ML-powered features. You will lead requirements definition-including proof-of-concept development-and co-own the roadmap for ML evaluation platforms, ensuring seamless system integration and continuous improvement. Your work will strengthen automation, improve model performance assessment, and streamline workflows across AI/ML teams.\n\nThe ideal candidate has a strong track record of owning full product lifecycles, from initial design and implementation to feedback-driven iteration on tools that support AI/ML development. You will build, measure, and optimize software solutions that deliver insights into platform changes, driving innovation and elevating Apple's AI-driven user experiences.\nThis role requires strategic thinking, deep technical expertise, and the ability to excel in a fast-paced, rapidly evolving environment while partnering closely with engineering, research, and product teams to deliver high-impact solutions.
2+ years in backend engineering with experience in large-scale software system design and implementation.\nProficiency in languages such as Python, GoLang, or Java.\nExperience with distributed systems, databases (SQL/NoSQL), and cloud platforms (AWS, Azure, Google Cloud Platform).\nRecord of building high-quality, highly scalable backend software systems.\nAbility to tackle complex challenges, think critically, and deliver innovative solutions.\nExcellent communication skills and a team-oriented attitude, thriving in a collaborative and fast-paced environment.\nBachelor's degree in Computer Science, Engineering, or a related field.
Solid understanding of AI feature, model evaluation metrics, and data processing pipelines.\nPrevious experience in a high-growth tech company or similar environment.\nFamiliarity with open-source projects related to AI/ML or backend development.\nFamiliarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure as code.\nMaster or Ph.D. in a related field.
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: e0f63494887c072e979c3688881a1882
- Posted 4 days ago
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