Aiml - Sr Machine Learning Engineer, Data & Machine Learning Innovation

AIML - Sr Machine Learning Engineer, Data & Machine Learning InnovationApple Published 27 Aug 2024
Share this job $175800-$312200 annually
Full Time
Role Highlights Python
HTML
Data Science
Computer Vision
NLP
Generative AI
ML Research
Data Quality
foundation model
3D
Audio
Statistics
Search
LLMs
Tools, Libraries and Frameworks JAX
PyTorch
Description As part of Apple's AI and Machine Learning organization, this role focuses on the development and application of innovative machine learning solutions addressing complex data challenges. The Machine Learning Engineer will collaborate with researchers, engineers, and data scientists to drive research initiatives and build transformative products for users globally. Responsibilities include designing data generation frameworks and evaluating models to enhance their performance. The position also emphasizes analyzing multi-modal data to understand its effect on machine learning models.
Required Qualifications and Skills The role requires over 5 years of experience in developing and evaluating machine learning applications, with a strong focus on data quality. Candidates should have expertise in natural language processing, search and recommendation systems, as well as a solid understanding of large language models. A PhD or MS degree in a related field such as Machine Learning, Data Science, or Statistics is preferred. Strong programming skills with Python and experience with deep learning frameworks like PyTorch or Jax are also necessary. Excellent problem-solving and communication skills are essential for success in this role.
The company is at the forefront of integrating AI into user experiences, particularly through natural language processing and machine learning to innovate text input and interaction technologies on its platforms. They have developed and implemented advanced generative models for text generation, such as Transformer models, to provide features like auto-correction, sentence level correction, and inline completions. The representation of Apple as a leader in creating seamless input experiences through the exceptional integration of hardware and software, alongside a commitment to privacy, underlines their dedication to leveraging powerful on-device ML. This role offers a chance to contribute to a team that has a significant history and expertise in NLP and ML, impacting users globally across all Apple platforms.
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