Staff Data Science Engineer, Siri Runtime Systems and Interaction

Apple is where individual imaginations gather together committing to the values that lead to great work. Every new product we build service we create or Apple Store experience we deliver is the result of us making each others ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world changing lives for the better. Its the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in we can do the best work of our lives. Here youll do more than join something youll add what you could do here. At Apple great ideas have a way of becoming great products services and customer experiences very quickly. Bring passion and dedication to your job and theres no telling what you could you want to make Siri and Apple products more intelligent for our users The Siri Attention and Invocation team is the front door to Siri. We make sure all our Apple costumers can invoke Siri how and when they want to.

As part of Siri Attention and Invocation team we collaborate to deliver the next revolution in human-computer interaction to inspire and create groundbreaking technology for large scale systems spoken language big data and artificial intelligence to overcome real-world challenges through innovation and user-centered systems that focus on improving the daily life of millions of our are seeking an exceptional Staff Data Science Engineer to join our team and drive strategic data science initiatives across the organization.

In this role you will lead the development of advanced machine learning solutions mentor junior team members and shape our data science roadmap. Key Responsibilities:nnLead complex data science projects from conception through production developmentnEstablish best practices for model validation and monitoringnDrive technical decisions and architecture for ML/AI initiativesnIdentify high-impact opportunities where data science can drive business valuenCollaborate with product engineering and business stakeholders to define requirementsnStay current with emerging technologies and methodologies in data science and MLnContribute to the companys technical vision and data strategy

Education: MS or PhD in Computer Science Statistics Mathematics or related field (or equivalent experience)nExperience: 5 years in data science machine learning or related fieldsnTechnical Skills:nExpert proficiency in Python and/or RnDeep understanding of machine learning algorithms and statistical methodsnStrong SQL skills and experience with big data technologies (Spark Hadoop etc.)nLeadership: Proven track record of leading technical projects and mentoring teamsnCommunication: Excellent ability to explain complex technical concepts to non-technical stakeholders

Proficiency with cloud platforms (AWS GCP or Azure)nExperience with ML frameworks (TensorFlow PyTorch scikit-learn)nFamiliar with workflow orchestrators like Airflow or KubeflownExperience deploying models to production environments