AIML - Senior Machine Learning Engineer, Siri and Information Intelligence

$175,800 - $312,200/Yr

Apple - Cupertino, CA

Full-time - Senior

Cupertino, CA

Computer and Electronic Product Manufacturing

About the position

The Senior Machine Learning Engineer specializing in NLP/Conversational AI will play a crucial role in enhancing Apple Intelligence products within the Siri team. This position focuses on evaluating and optimizing machine learning models to improve user experience, leveraging cutting-edge technologies in Natural Language Understanding and Conversational AI. The role involves collaboration with cross-functional teams to ensure high performance, accuracy, and scalability of AI systems, contributing to the future of computing.

Responsibilities

• Evaluate and enhance Apple Intelligence products.
• Collaborate with cross-functional teams to implement and optimize models.
• Conduct thorough evaluation and analysis of Apple Intelligence products and models.
• Identify areas for improvement and optimization in Siri user experience.
• Ensure data quality throughout all stages of acquisition and processing.
• Define and measure online and offline end-to-end metrics for deployed models.
• Run experiments and statistically interpret data with a focus on causation.
• Design, build, and evaluate machine learning models.

Requirements

• 7+ years of professional work experience applying machine learning to real-world problems.
• Strong domain knowledge in NLP, conversational AI, or speech recognition.
• Excellent programming skills in Python and data analytical skills.
• Strong problem solving, critical thinking, and communication skills.

Nice-to-haves

• Strong attention to detail.
• Experience with Big Data tools (MapReduce, Hadoop, Hive, Pig, Spark).
• Domain knowledge in applied statistics and experimental design.
• Background in A/B testing procedures, causal analysis, and cohort analysis.
• Exposure to model interpretability techniques.
• Good Conversational AI domain knowledge.
• Experience working with end-to-end pipelines and/or crowd-sourced data labeling.

Benefits

• Comprehensive medical and dental coverage.
• Retirement benefits.
• Discounted products and free services.
• Reimbursement for certain educational expenses, including tuition.
• Discretionary bonuses or commission payments.
• Relocation assistance.