Staff Data Science Engineer, Siri Runtime Systems And Interaction

Staff Data Science Engineer, Siri Runtime Systems and Interaction

Cupertino, California, United States

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 other's 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. It's 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, you'll do more than join something — you'll add something. Imagine 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 there's no telling what you could accomplish. Do 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.

Responsibilities

• Lead the development of advanced machine learning solutions, mentor junior team members, and shape our data science roadmap.
• Lead complex data science projects from conception through production development.
• Establish best practices for model validation, and monitoring.
• Drive technical decisions and architecture for ML/AI initiatives.
• Identify high-impact opportunities where data science can drive business value.
• Collaborate with product, engineering, and business stakeholders to define requirements.
• Stay current with emerging technologies and methodologies in data science and ML.
• Contribute to the company's technical vision and data strategy.

Minimum Qualifications

• Education: MS or PhD in Computer Science, Statistics, Mathematics, or related field (or equivalent experience)
• Experience: 5+ years in data science, machine learning, or related fields
• Technical Skills:
• Expert proficiency in Python and/or R
• Deep understanding of machine learning algorithms and statistical methods
• Strong SQL skills and experience with big data technologies (Spark, Hadoop, etc.)
• Leadership: Proven track record of leading technical projects and mentoring teams
• Communication: Excellent ability to explain complex technical concepts to non-technical stakeholders

Preferred Qualifications

• Proficiency with cloud platforms (AWS, GCP, or Azure)
• Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Familiar with workflow orchestrators like Airflow or Kubeflow
• Experience deploying models to production environments

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.