Senior Staff ML Engineer: Generative AI & On-Device LLM

Apple Inc.; Santa Clara (CA); On-site; USD 212,000 - 386,300; Full time

Benefits offered by this job

Comprehensive medical and dental coverage

Retirement benefits

Employee Stock Purchase Plan

Educational reimbursement

Job summary

A leading technology company in Santa Clara is seeking a Senior Staff Machine Learning Engineer to lead a team responsible for developing generative AI models and improving summarization technology across Apple’s ecosystem. This role requires extensive experience in machine learning and natural language processing, along with a strong track record in engineering leadership. Competitive compensation includes a salary range of $212,000 to $386,300, alongside various benefits such as medical coverage and stock programs. Applicants of all backgrounds are encouraged to apply.

Qualifications

• 8+ years of experience in engineering/applied research/ML in natural language processing.
• Proven record of consistent delivery of technology/products across the Machine Learning life cycle.
• Exceptional verbal and written communication skills.

Responsibilities

• Drive R&D and engineering for high-quality summaries and experiences.
• Develop LLM-based generative models and safety models.
• Collaborate with various partners to impact billions of users.

Skills

Machine Learning

Natural Language Processing

Engineering Leadership

Generative AI Models

Communication Skills

Education

MS or Ph.D. in Computer Science or related field

Job description

A leading technology company in Santa Clara is seeking a Senior Staff Machine Learning Engineer to lead a team responsible for developing generative AI models and improving summarization technology across Apple’s ecosystem. This role requires extensive experience in machine learning and natural language processing, along with a strong track record in engineering leadership. Competitive compensation includes a salary range of $212,000 to $386,300, alongside various benefits such as medical coverage and stock programs. Applicants of all backgrounds are encouraged to apply.