AI/ML - Senior Software Engineer, MLPT
Machine Learning and AI
+ Strong computer science fundamentals (system's design, OO, data structures and algorithms)
+ Experience with a server-side programming environments using languages like Java, Scala, Python, Go, preferably with 5+ years of professional software engineering experience
+ Knowledge of common web services protocols and standards (HTTPS/JSON/REST)
+ Experience shipping scalable micro services, distributed systems, web services and/or data streaming platforms at massive scale with high quality, high availability, high throughput and low latency.
+ Knowledge of databases systems , data model design and experience with SQL & NoSQL data stores.
+ Experience with on-premise, cloud-based infrastructure (AWS, Azure) and hybrid ecosystems
+ 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 self and team.
+ Excellent communication, problem solving, and critical thinking skills.
+ Ability to mentor other engineers and level up those around you.
The ML Annotation Platform team provides frameworks and services for enabling effective data annotations across all of Apple, while protecting user privacy. This will be your opportunity to join a highly motivated team of talented engineers who value collaboration and building highly reliable backend systems. Our team is diverse, dynamic and passionate about the products we build. Your responsibilities include: Model great software engineering practices, by producing well tested, performant and reliable code to the multiple systems that we maintain. Engage in code review, pair programming and architecture discussions with other members of the team. Work cross functionally with other teams at Apple, to ensure our tools and systems integrate seamlessly. Write detailed architecture and design proposals. Constantly seek areas of improvement.
**Education & Experience**
BS/MS in Computer Science, Distributed Systems, Software Engineering, or related field Experience designing, building, maintaining, and extending production ecosystems at scale.
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