Staff Data Science Engineer, Siri Runtime Systems and Interaction
Role details
Job location
Tech stack
Job 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
Requirements
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
Benefits & conditions
4.14.1 out of 5 stars Cupertino, CA $181,100 - $318,400 a year, Pulled from the full job description
- Employee stock purchase plan
- Health insurance
- Retirement plan
- Dental insurance
- RSU, At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.