Machine Learning Engineer - Generative AI

Apple • Cupertino, CA

428d • $143,100 - $264,200

About The Position

This position involves hands-on work throughout the machine learning lifecycle, focusing on transforming research into practical applications that impact millions of users. The role requires collaboration across various teams at Apple to integrate advanced AI models into real-world products, deploying them in production environments and building software solutions that enhance user experiences.

Requirements

• Strong experience in machine learning model training, evaluation, and deployment.
• Proficiency in Python and familiarity with ML tooling such as PyTorch and TensorFlow.
• Hands-on experience fine-tuning and deploying open-source models using platforms like Hugging Face.
• Proven ability to debug and optimize model performance through experimentation.
• In-depth understanding of Transformer architecture and familiarity with fine-tuning large language models.

Nice To Haves

• Hands-on experience evaluating large language models (LLMs) and applying advanced metrics for performance analysis.
• Experience generating and using synthetic data to enhance model training and evaluation.
• Strong statistical background, including experience applying statistical methods for model evaluation and data analysis.
• Familiarity with techniques for interpreting and explaining the behavior of deep learning models.
• Experience with end-to-end model deployment in production environments.

Responsibilities

• Create and curate data for machine learning models.
• Train, evaluate, and fine-tune machine learning models using Apple's ML tooling.
• Collaborate cross-functionally with teams to ensure seamless integration of models into products.
• Deploy models in production environments.
• Build software solutions that enable workflows across the full software stack.

Benefits

• Comprehensive medical and dental coverage.
• Retirement benefits.
• Discounted products and free services.
• Reimbursement for certain educational expenses, including tuition.
• Opportunity to participate in employee stock programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Computer and Electronic Product Manufacturing
• Education Level: No Education Listed