Revolutionizing the way hundreds of millions of people access information on their devices, pushing the boundaries of Apple Intelligence, result ranking, and innovative search technologies, all while running a low latency production service.
Requirements
- 4+ years Experience in Machine Learning, NLP and applying these techniques at scale
- Strong software engineering skills in mainstream programming languages, such as: Python, Go, C/C++
- In-depth knowledge and expertise in applying Deep learning models, Large Language Models and their evaluations
- Extensive experience in building production quality systems or applications in search, recommendation systems, or information retrieval
- Experience using ML frameworks (pyTorch, JAX, TensorFlow, XGBoost etc.)
- Ability to quickly prototype ideas / solutions, and perform critical analysis
- Background in: personalization, user behavior modeling, and data-driven decision-making
Responsibilities
- 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.
Other
- Strong communication skills
- Bachelors in Computer Science and industry work experience
- Advance degree (Master’s or Ph.D.) in Computer Science, Statistics, or related field, or equivalent industry work experience
- Apple is an equal opportunity employer that is committed to inclusion and diversity.
