Data Scientist

• Multimodal Training Data & Tools

• SIMLCupertino, California, United States

Machine Learning and AI

Posted: Mar 31, 2026

Role Number: 200654558

Are you passionate about Generative AI? Are you interested in working on cutting edge generative modeling technologies to enrich billions of people? We are the Intelligence System Experience (ISE) team within Apple's software organization. The team operates at the intersection of multimodal machine learning and system experiences. It oversees a range of experiences such as System Experience (Springboard, Settings), Image Generation, Genmoji, Writing tools, Keyboards, Pencil & Paper, Generative Shortcuts - all powered by production scale ML workflows. Our multidisciplinary ML teams focus on a broad spectrum of areas, including Visual Generation Foundation Models, Multimodal Understanding, Visual Understanding of People, Text, Handwriting, and Scenes, Personalization, Knowledge Extraction, Conversation Analysis, Behavioral Modeling for Proactive Suggestions, and Privacy-Preserving Learning. These innovations form the foundation of the seamless, intelligent experiences our users enjoy every day.

We are seeking engineers experienced in building models, data pipelines and tools for prompt optimization, data synthesis, and auto grading to enable training and deploying large-scale generative models.

You will be working alongside a cross functional team of engineers who own ML infrastructure & algorithms, data scientists, designers, safety and UX engineers. Industry experience in prompt optimization, large-scale data synthesis across text and images, and automated grading using GenAI is preferred. Selected references to our team's work: https://arxiv.org/pdf/2507.13575 https://arxiv.org/pdf/2407.21075 https://www.apple.com/newsroom/2024/12/apple-intelligence-now-features-image-playground-genmoji-and-more/

DescriptionWe are seeking an experienced data scientist to help us build and deploy large scale generative models.

Responsibilities in the role will include training ad-hoc models for data synthesis, build data pipelines and tools for large-scale data auto-grading across text and image, prompt engineering and optimization, and extracting insights from billion-scale datasets to enable the model training.

Minimum QualificationsBachelors or Masters degree in Electrical Engineering/Computer Science or a related field (mathematics, physics or computer engineering), with a focus on data science

3

• years of data science or related experience, preferably in a consumer tech company

Experience developing models for data synthesis and auto-grading to enable training generative models

Experience in prompt engineering and optimization for LLMs

Strong programming and problem-solving skills

• Preferred QualificationsStrong problem-solving skills and ability to work in a collaborative, product-focused environment
• Ability to communicate technical results clearly and concisely

Pay & BenefitsAt 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 $147,400 and $220,900, 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.

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.