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About the Role
Our team builds self-service tools and a platform that transforms ideas, text, and images into large-scale generated datasets. We empower ML engineers, data scientists, designers, and other teams across Apple to create data that fills real-world gaps, enables privacy-preserving training, and ensures product generalization. This is a hands-on engineering role focused on bridging technology and user needs, requiring strong engineering judgment and collaboration skills.
Responsibilities
- Integrate and tune new image or video generation models on GPUs.
- Assist design teams in utilizing the platform for dataset generation.
- Collaborate with feature teams on model ablations to assess synthetic data's impact.
- Explain differences between synthetic and real data to partner teams.
- Build features to close gaps identified between synthetic and real data.
- Partner with ML engineers, data scientists, designers, and artists to make systems understandable.
- Own features end-to-end, from shaping requests to validating results.
- Shape the use of AI coding agents in daily software development.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, or related field, or 3 years of equivalent work experience.
- 3+ years of experience building and operating production software in Python.
- Experience debugging distributed systems or data pipelines in production using logs, metrics, and task state.
- Experience deploying machine learning models on GPU infrastructure, including dependency management and GPU memory sizing.
- Experience designing input validation and configuration contracts for systems where late failures are costly.
- Demonstrated ability to explain machine learning concepts and tradeoffs to non-technical partners.
- Proven, hands-on use of agentic AI coding tools in day-to-day software development.
Skills
- Python
- Debugging distributed systems
- Data pipelines
- Machine learning model deployment
- GPU infrastructure
- Dependency management
- GPU memory sizing
- Input validation
- Configuration contracts
- Explaining ML concepts to non-technical partners
- Agentic AI coding tools
Location
- Apple
Work Type
- Full-time
Experience Level
- 3+ years of experience
Education Level
- Bachelor's degree in Computer Science, Computer Engineering, or related field
About the Company
- Apple's machine learning features rely on high-quality data.
- The AI & Machine Learning (AIML) organization focuses on creating data for ML models.
- Our platform enables teams to generate data that fills real-world gaps.
- We provide privacy-preserving methods for training and evaluating models.
- Our goal is to ensure products generalize well across diverse global inputs.