Youll play a pivotal role in driving the next generation of intelligent experiences in Apples products and services with the latest advancements in Generative AI and Large Language Models. You will have a significant impact working alongside world-class experts and using state-of-the-art technologies to push the boundaries of innovation. You have a background that fuses data engineering and product thinking. You have years of practical experience building measurement evaluation and insights to improve will also partner closely with data scientists ML engineers and partner teams to understand requirements and deliver innovative solutions. Your role will also involve deploying and maintaining cloud infrastructure for large-scale data and ML and implement scalable backend systems that support measurement and inference and optimization efforts ensuring performance and closely with data scientists frontend engineers product managers and other stakeholders to define metrics gather requirements and deliver impactful backend services are scalable efficient and secure handling large volumes of data with technical leadership and mentorship to junior engineers fostering a culture of excellence and continuous improvement.
Experience leading strategic technical projects with multiple partners and directing work of other engineers or as a technical lead.
Experience in building large scale data processing and distributed systems using technologies like like Spark/Kafka
Experience with cloud platforms such as: AWS GCP or Azure
Experience with SQL / NoSQL databases and embedding data stores
Proficiency in programming languages such as Python Java or Go
Proven track record of building high-quality highly scalable backend software systems.
Experience with containerization and orchestration technologies (e.g. Docker Kubernetes)
Excellent communication skills and a team-oriented attitude thriving in a collaborative and fast-paced environment.
Ability to tackle complex challenges think critically and deliver innovative solutions.
Bachelors in Computer Science engineering or a related field
Advance degrees in Computer Science engineering or a related field
Experience with complex multi-sensor perception systems and visualization
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