Summary Posted: Apr 6, 2024 Weekly Hours: 5 Role Number: 200546500 As part of Apple's AI and Machine Learning org, we encourage and build groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding. The Data and Machine Learning Innovation (DMLI) team is looking for a passionate 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 real-world ML challenges. Are you excited to work on some of the most ambitious technical challenges in the field? Your role will involve collaborating closely with machine learning researchers, engineers, and data scientists. Together, we will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide.
Key Qualifications Key Qualifications Expertise in machine learning with a passion for model evaluation and applications. Experience with natural language processing (NLP), and large language models, such as BERT, GPT, or Transformers. Staying on top of emerging trends in LLMs. Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax. Strong problem-solving and communication skills. 5+ years of experience with developing and evaluating ML applications, and understanding and improving data quality. Demonstrated publication record in relevant conferences (e.g. ACL, EMNLP, NeurIPS, ICML, ICLR, , etc) is a plus. Description Description As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying innovative research in ML to tackle complex data problems. The solutions you develop will significantly impact future Apple products and the broader ML development ecosystem. You will work with a multidisciplinary team to actively participate in building the evaluation pipelines to assess the quality of curated data used to develop foundational models, the improvement of foundational models and their applications to Apple products, etc. 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 topics, including but not limited to:
Using internal and external (including open source and enterprise-licensed) LLM’s to build grading models and integrate the grading models into the evaluation pipelines to reduce turnaround time and automate evaluation of quality of curated data, improvement of foundation models, performance of adapter models, etc.
Conducting research to improve efficacy of data curation through identifying grading errors, bias, distribution disparity between training and applications, thus, improve scaling of model performances with respect to data size and model size.
Uncovering patterns in data and using modern statistical and ML-based methods to model data distributions. This will aid in discovering anomaly for mitigation and understanding model performance caveats caused by out-of-distribution samples and edge cases.
Employing data selection techniques such as novelty detection, active learning, and core-set selection for diverse data types like images, 3D models, natural language, and audio.
Education & Experience Education & Experience PhD or MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas. Additional Requirements Additional Requirements Pay & Benefits 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 $131,500.00 and $243,300.00, 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 Apple’s 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 Apple’s Employee Stock Purchase Plan. You’ll 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.
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