About the role

Summary

Imagine what you could do here! At Apple, new insights have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you bring passion, dedication, and a strong eagerness to learn and innovate in the rapidly evolving field of Generative AI? If so, we are looking for individuals like you to join us in building groundbreaking experiences.   In this role, you will contribute to various stages of the Generative AI model lifecycle, from assisting with the creation and curation of diverse datasets to supporting the training, evaluation, and fine-tuning of generative models using Apple’s innovative ML tooling. You’ll collaborate cross-functionally with teams across Apple, helping to ensure seamless integration of these models into real-world products. You will also have opportunities to learn about and contribute to deploying generative models in production environments and building software solutions that enable workflows across the full software stack, driving innovative, user-focused experiences powered by advanced AI!

Description

This is a full time role in our Employee Productivity and Support team to address and support continued growth in APAC and will present the opportunity to gain significant experience in a very large scale environment, while working with local experts to provide the highest level of service expected at Apple. We are looking for a self-driven individual who can constantly research and suggest latest technologies, independently troubleshoot technical issues, and work with teams of developers, engineering project managers, and test engineers who take pride in building AI solutions.

Minimum Qualifications

Bachelor’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience. Strong proficiency in languages such as Python or Javascript. Familiarity with machine learning libraries like TensorFlow, PyTorch, Keras, or Hugging Face. Solid understanding of neural networks, deep learning, and specifically generative models Basic knowledge of Natural Language Processing (NLP) or Computer Vision (CV) concepts, depending on the primary modality of the generative models. Proficient in data manipulation tools such as Pandas, Numpy, and experience with data pre-processing techniques relevant to large and complex datasets. Experience with Git/GitHub for collaborative development. Strong analytical and problem-solving skills with a keen eye for detail. Ability to communicate technical concepts clearly and contribute effectively in a team environment.

Preferred Qualifications

Hands-on experience with large language models (LLMs) or other generative models, including tasks like prompt engineering, fine-tuning, or applying advanced metrics for analysis. Familiarity with specific generative model architectures (e.g. Transformer variants, Stable Diffusion, GPT-like models) and their underlying mechanisms (e.g. attention mechanisms). Understanding of software engineering best practices (e.g., testing, code reviews, modular design) in the context of ML systems. Comfortable presenting technical findings or research to peers and cross-functional global teams. Experience with data synthesis, augmentation, or specialised dataset preparation for generative tasks. Some familiarity with cloud platforms (e.g. AWS, GCP) for ML workload deployment. Demonstrated experience with personal, academic, or open-source projects involving Generative AI, showcasing practical application and problem-solving.

Skills & Tags

Aplyr's read

Apple is a tech giant known for its sleek design and innovation, attracting top talent in engineering, design, and business operations.
Synthesized from recent postings & public sources

What's promising

•Apple consistently leads in tech innovation with a strong focus on design and user experience.
•The company's global brand recognition offers employees a prestigious platform for career growth.
•Apple's robust ecosystem integrates hardware, software, and services, creating diverse job opportunities.

What to watch

•High-pressure work environment with demanding deadlines can impact work-life balance.
•Apple's secretive culture may limit transparency and cross-departmental communication.
•Dependence on hardware sales makes the company vulnerable to market saturation risks.

Why Apple

•Apple's design philosophy emphasizes simplicity and elegance, setting it apart in the tech industry.
•The company has a unique retail presence with its own stores enhancing customer experience.
•Apple's closed ecosystem creates a seamless integration across its products, unmatched by competitors.

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About Apple

Apple

apple.com

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AAPL$295.63+1.39%

Apple Inc. is a leading technology company known for its innovative consumer electronics, software, and services. The company designs and manufactures products such as the iPhone, iPad, Mac computers, and wearables, significantly influencing the tech industry and consumer behavior worldwide.