Job Description

Locations

• Santa Clara, California, United States 95050

Salary

Skills Required

• Machine Learningintermediate
• Natural Language Processingintermediate
• Deep Learningintermediate
• Large Language Modelsintermediate
• Query Understandingintermediate
• Ranking Techniquesintermediate
• Response Generationintermediate
• Algorithm Designintermediate
• Model Implementationintermediate
• Model Evaluationintermediate
• Scalable Evaluationintermediate
• Loss Pattern Analysisintermediate
• Technical Vision Developmentintermediate
• Roadmap Proposalintermediate
• Cross-Team Collaborationintermediate
• Product Requirements Definitionintermediate
• Metrics Establishmentintermediate
• Performance Improvementintermediate
• Innovative ML Techniquesintermediate

Required Qualifications

• 4+ years Experience in Machine Learning, NLP and applying these techniques at scale (experience, 4 years)
• Strong software engineering skills in mainstream programming languages, such as: Python, Go, C/C++ (experience)
• Strong communication skills (experience)
• Bachelors in Computer Science and industry work experience (experience)

Preferred Qualifications

• In-depth knowledge and expertise in applying Deep learning models, Large Language Models and their evaluations (experience)
• Extensive experience in building production quality systems or applications in search, recommendation systems, or information retrieval (experience)
• Experience using ML frameworks (pyTorch, JAX, TensorFlow, XGBoost etc.) (experience)
• Ability to quickly prototype ideas / solutions, and perform critical analysis (experience)
• Background in: personalization, user behavior modeling, and data-driven decision-making (experience)
• Advance degree (Master’s or Ph.D.) in Computer Science, Statistics, or related field, or equivalent industry work experience (experience)

Responsibilities

• This role will have the chance to work closely on Natural Language response generation models, make improvements and perform scalable evaluation that will impact Apple Users and broader AIML community. Role responsibilities include:
• - Contribute on research, design, implementation and evaluation of algorithms and models to enhance the quality and performance of personalized response generation models.
• - Use advanced NLP, deep learning and LLM techniques to generate grounded responses for user intent.
• - Analyze loss patterns in the current search and assistant stack and come up with insights, algorithms and techniques to resolve quality gaps with the goal of improving the top-line product metrics.
• - Develop a long-term technical vision; propose a roadmap for team setting clear objectives.
• - Collaborate with teams across the company to define product requirements and prioritize ranking criteria that optimize user satisfaction.
• - Establish metrics and continuously improve performance of models by applying innovative ML techniques.

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