> Markdown version of [/jobs/ext/281891-staff-data-science-engineer-siri-runtime-systems-and-interaction](https://www.wearedevelopers.com/jobs/ext/281891-staff-data-science-engineer-siri-runtime-systems-and-interaction). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Data Science Engineer, Siri Runtime Systems and Interaction - **Company:** Apple Inc. - **Location:** Cupertino, CA, United States - **Experience:** Expert - **Salary:** $181,100.0 - $318,400.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Database Queries, Apache Hadoop, Human-Computer Interaction, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Apache Spark, Deep Learning, Model Validation, Siri, Data Strategy, Scikit Learn, Kubernetes, Information Technology, Machine Learning Operations - **Published:** May 21, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5fbf97353c38645a ## About the Role Do you have experience in Technical Proficiency?, 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 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 ## Description 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 customers. We are seeking an exceptional Staff Data Science Engineer to join our team and drive strategic data science initiatives across the organization.","responsibilities":"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: 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 ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Lessons from Steve Jobs - Learnings from the Past for the Future](https://www.wearedevelopers.com/videos/1021-lessons-from-steve-jobs-learnings-from-the-past-for-the-future) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)