As a Machine Learning (ML) Engineer you will be entrusted with the critical role of innovating and applying state of the art research in ML to tackle complex data problems. The solutions you develop will significantly impact Apple Intelligence future Apple products and the broader ML development will work with a multidisciplinary team to actively participate in Apple Intelligences data-model co-design and co-develop practice. Your responsibilities will extend to the design and development of a comprehensive data generation and curation framework for Apple Intelligence foundation models at Apple. You will also be responsible to build robust model evaluation pipelines integral to the continuous improvement and assessment of Apple Intelligence foundation models. Furthermore you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic work may span a variety of directions including but not limited to:Develop and implement techniques for creating high-quality synthetic datasets across a variety of domains including vision text and audio and experiment with new approaches for synthetic data generation to improve the diversity realism and representativeness of with multi-functional teams to understand data requirements and ensure that synthetic datasets are optimized for training foundation and implementing semi-supervised self-supervised representation learning techniques for growing the power of both limited labeled data and large-scale unlabeled pipelines and tools to automate synthetic data generation for large-scale AI updated with the latest research and industry trends in synthetic data generation foundational model training and large-scale data engineering.
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)
Strong problem-solving and communication skills.
Ph.D/MS degree in Machine Learning Natural Language Processing Computer Vision Data Science Statistics or related areas
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 $139500 and $258100 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 Apples 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 Apples Employee Stock Purchase Plan. Youll 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.
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