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Apple AIML - Sr Machine Learning Engineer Data ML Innovation United States, Washington, Seattle 349420326
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Description
You will work with a multidisciplinary team to actively participate in Apple Intelligence’s 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 venues.Your 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 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.
Minimum Qualifications
- 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.
Preferred Qualifications
- 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
Pay & Benefits
- 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 $135,400 and $250,600, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.
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