AIML-Sr. Backend Software Engineer, Measurement
Seattle, Washington, United States
Machine Learning and AI
Apple is where people come together to do the best work of their lives. Every new product we build, every service we create, and every experience we deliver is the result of deep, deliberate collaboration. We share, refine and hone ideas and we build a whole that is bigger than its parts. We do this because we believe that there is value in making something wonderful and sharing it with the world, and that wonderful things can change many lives for the better. It’s the diversity of our people and their collective inspiration that drives the innovation that runs deep in everything we do. Let’s get started, shall we?
At Apple AIML Measurement, you will be part of an engineering team that makes it possible for Apple to innovate ML driven products and product features rapidly and at global scale. Our large scale distributed data, annotation and evaluation platforms generate high-quality critical datasets, evaluate dataset and model performance, and validate intelligent product experiences for current and future Apple Intelligence capabilities and exciting and new cutting edge AI technologies.
Imagine what you could do in a team like this, where great ideas have a way of becoming great products, services, and customer experiences very quickly. With your passion and dedication the sky is the limit to your accomplishments.
Description
The AIML Annotation Platform provides services for enabling privacy-focused data augmentation, annotation, curation and validation across all of Apples product portfolio. As a member of its engineering team, you’ll have the opportunity to work with highly skilled engineers to build reliable backend systems. Responsibilities include:
Model and foster great software engineering practices. Produce, release and maintain reliable and performant code across the entire backend service stack. Deeply engage in architecture and code reviews, closely collaborate with your peers and ensure that the best ideas succeed.
Build things people love. Work across team and organizational boundaries, build deep applicative expertise and cooperatively solve complex problems and challenges and ensure our tools and systems integrate seamlessly.
Keep the saw sharp. Continuously engage with industry and technology trends and development. Help drive technology and application roadmaps, constantly seek areas of improvement and help the team deepen and broaden its expertise
Minimum Qualifications
- BS in Computer Science, Distributed Systems, Software Engineering, or related field
- Strong computer science fundamentals (system design, OO, data structures and algorithms)
- Experience designing, building, maintaining, and evolving cloud-based large-scale production ecosystems (AWS)
- Experience with server-side and enterprise programming environments, in particular in Java, Java Spring Boot, Go, Python
Key Qualifications
Preferred Qualifications
- 8+ years of professional software engineering experience
- Experience shipping scalable micro services, distributed systems, web services and/or data streaming platforms at large scale with high quality, high availability, high throughput and low latency
- Expertise in databases systems, data modeling for relational and NoSQL storage engines
- Experience with test-driven development, continuous integration and delivery
- Ability to discuss technical tradeoffs across the stack, including: system architecture, database design, API design and infrastructure
- A learning attitude to continuously improve yourself and help the team grow
- Excellent communication, problem solving, and critical thinking skills
- Ability to mentor other engineers and level up those around you
Education & Experience
Additional Requirements
Pay & Benefits
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.