Apple
AIML - Sr Machine Learning Engineer, Data and ML Innovation
$185K–$325K
Cupertino, California · Senior · Full-time · Posted Mar 6, 2026
- Experience
- 3+ years developing and evaluating ML applications and improving data quality (preferred).
- Education
- Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics, or related areas (preferred).
About the job
Develop synthetic-data methods and evaluation pipelines for Apple Intelligence foundation models, while advancing data-centric and multimodal machine learning.
What you'll do
- Create and automate high-quality synthetic datasets across vision, text, and audio, improving their diversity, realism, and representativeness.
- Develop semi-supervised and self-supervised representation-learning techniques and data pipelines for foundation-model training.
- Collaborate on data requirements and stay current with research in synthetic data, foundation models, and large-scale data engineering.
What they ask for
- Expertise in computer vision, natural language processing, and machine learning, with an interest in data-centric ML.
- Deep understanding of multimodal foundation models.
- Knowledge of emerging generative AI and multimodal LLM trends.
- Strong programming skills and hands-on experience with Python, PyTorch, or Jax.
Nice to have
- Strong publication record at relevant conferences.
- Experience training multimodal large language models or image/video generation models.
Pay
$184,700 and $324,800 (base salary)
Tools
Python, PyTorch, Jax
AI focus
Synthetic-data generation and curation, multimodal foundation-model training, representation learning, and model evaluation for Apple Intelligence.
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