AIML - Sr. Software Development Engineer, Evaluation

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.

Description

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.

Minimum Qualifications

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.

Preferred Qualifications

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

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.

Strong emphasis on code reviews to maintain code quality and foster team collaboration.

Strong ability to communicate technical and architectural challenges clearly and concisely, while collaborating with frontend team to iteratively develop self-service solutions.

Able to think big picture while addressing immediate project needs. Skilled at balancing innovation with practicality to maximize impact.