AIML - Sr Machine Learning Data Infrastructure Engineer, Data & Machine Learning Innovation

Key Skills

Aartificial intelligence, Analytical and Problem solving, BERT, ChatGPT, Computer Vision (CV), Data science techniques, Effective communication skills, JAX framework, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), NeurIPS, Python Programming, PyTorch, Statistics, Transformer

Job Description

Key Qualifications

• Demonstrated expertise in machine learning with a passion for data-centric machine learning.
• 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 demonstrated experience in understanding and improving data quality.
• 3+ years of experience with managing engineering teams, including defining plans, coaching technical leaders and engineers, and collaborating with other teams.
• Demonstrated publication record in relevant conferences (e.g. ACL, EMNLP, NeurIPS, ICML, ICLR, , etc) is a plus.

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 the data-model co-design and co-development practice. Your responsibilities will extend to the design and development of a comprehensive data curation framework. You will also build robust model evaluation pipelines, integral to the continuous improvement and assessment of ML models. Additionally, your role will entail an in-depth analysis of collected data to underscore its influence on model performance. 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 topics, including but not limited to: Designing and implementing semi-supervised, self-supervised representation learning techniques for growing the power of both limited labeled data and large-scale unlabeled data. Developing evaluation protocols centered on the end-to-end user experience, with a focus on anticipating potential failure modes, edge cases, and anomalies. 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. Uncovering patterns in data, setting performance targets, and using modern statistical and ML-based methods to model data distributions. This will aid in reducing redundancy and addressing out-of-distribution samples.

Education & Experience

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 $199,800 and $364,100, 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.