Apple Intelligence is looking to tackle some of the most ambitious technical challenges and develop transformative products using machine learning, computer vision, natural language processing, and multi-modal understanding and generation.
Requirements
- Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning.
- Deep understanding in multi-modal foundation models.
- Staying on top of emerging trends in generative AI and multi-modal LLM.
- Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax.
- 3+ years of experience with developing and evaluating ML applications, and demonstrated experience in understanding and improving data quality.
- Strong publication record in relevant conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, , etc)
- Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas
Responsibilities
- Develop and implement techniques for creating high-quality synthetic datasets across a variety of domains, including vision, text, and audio data.
- Innovate and experiment with new approaches for synthetic data generation to improve the diversity, realism, and representativeness of datasets.
- Collaborate with multi-functional teams to understand data requirements and ensure that synthetic datasets are optimized for training foundation models.
- Crafting and implementing semi-supervised, self-supervised representation learning techniques for growing the power of both limited labeled data and large-scale unlabeled data.
- Develop pipelines and tools to automate synthetic data generation for large-scale AI experiments.
- Stay updated with the latest research and industry trends in synthetic data generation, foundational model training, and large-scale data engineering.
- Design and development of a comprehensive data generation and curation framework for Apple Intelligence foundation models at Apple.
Other
- Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas
- Strong problem-solving and communication skills.
- 3+ years of experience with developing and evaluating ML applications
- Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services
- Relocation might be eligible for discretionary bonuses or commission payments
