About The Position
At Apple, we create world-class innovative products that seamlessly combine cutting-edge hardware with intelligent software experiences, powered by advanced machine learning technologies. The Evaluation org is responsible for building platforms and tools to measure, understand, and proactively enhance Apple Intelligence features while protecting user data. We're seeking an experienced Senior Backend Software Engineer to join our team responsible for designing and developing our Annotation Platform, critical to the development and optimization of Apple’s AI/ML features. As a Senior Backend Engineer in the Evaluation organization, you will lead the backend development of the platform meant to optimize data generation and collection process, allowing ML engineers to efficiently evaluate and train machine learning models. You should love to take on challenges, tackle problems with imaginative solutions, work well in collaborative teams, and produce high-quality software under tight deadlines and constraints. We expect you to enjoy mentoring and guiding other engineers, helping to elevate the skill set of the team and fostering a collaborative learning environment. You will be working with teams across different domains to drive projects and feature development from concept to completion.
Requirements
- Hands-on experience with Java, demonstrating in-depth knowledge of advanced concepts and best practices in software design and development.
- Strong understanding and hands-on experience with the Spring Boot framework, including dependency injection, REST API development, and micro-services architecture.
- Proven track record in designing, building and maintaining complex, scalable web applications.
- Strong ability and passion for creating reliable, resilient, high-performance, reusable code and modules.
- Proficiency with testing frameworks to ensure the stability, reliability, and performance of the applications.
- Knowledge of databases systems, data model design and experience with both SQL and NoSQL databases.
- Demonstrated ability to creatively solve complex technical challenges with innovative solutions and a strong focus on trade-offs.
- BS/MS in Computer Science, Distributed Systems, Software Engineering, or related field.
- Strong ability to communicate technical and architectural challenges clearly and concisely.
Nice To Haves
- Experience in AI engineering and ML system is a plus.
- Experience with cloud-based infrastructure (AWS) and hybrid ecosystems.
- Experience with ETL pipelines, stream processing and batch data processing is a plus.
Responsibilities
- Lead the backend development of the platform meant to optimize data generation and collection process, allowing ML engineers to efficiently evaluate and train machine learning models.
- Drive projects and feature development from concept to completion.
- Mentor and guide other engineers, helping to elevate the skill set of the team and fostering a collaborative learning environment.
- Collaborate with frontend teams to iteratively develop self-service solutions.
- Perform code reviews to maintain code quality and foster team collaboration.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
