Senior ML Engineer, Foundation Models & Evaluation

Apple Inc.; Cupertino (CA); On-site; USD 150,000 - 278,000; Full time

Benefits offered by this job

Medical and dental coverage

Retirement benefits

Employee stock programs

Tuition reimbursement

Relocation assistance

Job summary

Apple Inc. in Cupertino, CA is seeking a Sr Machine Learning Engineer focused on foundation model evaluation to help measure and improve model performance for Apple Intelligence features.

You will design evaluation infrastructure and work with ML researchers to translate insights into tangible product improvements. You have 5+ years of ML engineering experience, including 1+ year on large language models, and strong software fundamentals.

Qualifications

• 5+ years of hands-on ML engineering experience, with at least 1+ years working directly on large language models or generative AI.
• Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, or a related technical field — or equivalent practical experience.
• Strong software engineering fundamentals: debugging, testing, code reviews, and production reliability / scalability.
• Hands-on experience with LLM training and / or evaluation workflows, including pre-training, post-training, online evaluation, offline evaluation, automated evaluation, human evaluation.

Responsibilities

• Ensure the stability, reliability, and performance of Apple's foundation model evaluation system.
• Design and implement novel evaluation methodologies.
• Help design and implement tooling to simplify metrics generation, ingestion, and reporting.
• Leverage agentic LLM systems to facilitate and improve model evaluations.

Skills

ML engineering

LLM experience

Evaluation pipelines

Software reliability

Education

Bachelor’s/Master’s/PhD in CS/ML or related field

Job description

Apple Inc. in Cupertino, CA is seeking a Sr Machine Learning Engineer focused on foundation model evaluation to help measure and improve model performance for Apple Intelligence features.

You will design evaluation infrastructure and work with ML researchers to translate insights into tangible product improvements. You have 5+ years of ML engineering experience, including 1+ year on large language models, and strong software fundamentals.