AIML - Machine Learning Data and ML Innovation
AIML - Machine Learning Data and ML Innovation
Posted on :
17-03-2025
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1 Vacancy
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Job Description
Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence Be involved in collaborating closely with our machine learning researchers engineers and data scientists Together you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide!As part of Apples AI and Machine Learning org we encourage and create groundbreaking technology for largescale ML systems computer vision natural language processing and multimodal understanding and generation. The Data and Machine Learning Innovation (DMLI) team is looking for Machine Learning Engineer to explore new methods challenge existing metrics or protocols and develop new insightful practices that will change how we understand data and overcome realworld ML challenges.
Description
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 ecosystem.You will work with a multidisciplinary team to actively participate in Apple Intelligences datamodel codesign and codevelop 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 highquality 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 multifunctional teams to understand data requirements and ensure that synthetic datasets are optimized for training foundation models.Crafting and implementing semisupervised selfsupervised representation learning techniques for growing the power of both limited labeled data and largescale unlabeled data.Develop pipelines and tools to automate synthetic data generation for largescale AI experiments.Stay updated with the latest research and industry trends in synthetic data generation foundational model training and largescale data engineering.
Minimum Qualifications
- Demonstrated expertise in computer vision natural language processing and machine learning with a passion for datacentric machine learning.
- Deep understanding in multimodal foundation models.
- Staying on top of emerging trends in generative AI and multimodal LLM.
- Strong programming skills and handson experience using the following languages or deep learning frameworks: Python PyTorch or Jax.
- M.S. degree in Machine Learning Natural Language Processing Computer Vision Data Science Statistics or related areas.
Key Qualifications
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 problemsolving and communication skills.
- Ph.D in Machine Learning and/or related areas.
Education & Experience
Additional Requirements
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 $166600 and $296300 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.
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. Learn more about your EEO rights as an applicant.
Employment Type
Full Time
Key Skills
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