Distinguished Software Engineer, ML Systems Evaluation Engineering
Job Summary
Job Description
The Siri team is developing groundbreaking technology at the intersection of large-scale systems, spoken language, machine learning, and LLMs. They are building a conversational agent that is helpful, knowledgeable, and can perform tasks naturally and intelligently. The ML SEE team specifically supports Siri ML and software engineers by building large-scale evaluation solutions for the latest language models and Siri's customer experience. This role involves defining the model evaluation strategy and developing methodologies to improve model accuracy, focusing on offline evaluation insights that drive model development and user experience improvements while upholding privacy and quality standards. The role will tackle challenges related to creating representative datasets, building realistic simulation environments, and developing scalable end-to-end evaluation pipelines for Apple Intelligence. The senior engineering leader will also cultivate cross-functional relationships to adopt and adapt state-of-the-art model evaluation approaches.
Must have:
- 10+ years of technical leadership experience
- Experience with Machine Learning development and evaluation
- Excellent understanding of ML-based product lifecycle
- Demonstrated leadership in developing AI-powered products
- Proven track record of solving complex technical problems
- Ability to gain technical expertise on the job
- Experience providing technical guidance
- Ability to develop long-term vision and execute strategies
Good to have:
- MS/PhD in Machine Learning, Computer Science, or equivalent
- Expertise in generative AI and LLMs
- Depth of knowledge in statistics-based evaluation
- Experience with systems engineering
- Experience in establishing cross-functional partnerships
- Experience with technical presentations
Perks:
- Comprehensive medical and dental coverage
- Retirement benefits
- Discounted products
- Free services
- Reimbursement for formal education expenses
- Discretionary bonuses or commission payments
- Relocation assistance
7 skills required
Job Details
The Siri team is developing groundbreaking technology at the intersection of large-scale systems, spoken language, machine learning, and LLMs in pursuit of a unique challenge: building a conversational agent that is not only helpful and knowledgeable but can also get things done naturally, intelligently, and delightfully, at the level of quality that Apple’s customers have come to expect. The ML SEE team powers the rapid iteration loop for Siri ML and software engineers. We build large-scale evaluation solutions for Apple’s latest language models and Siri's overall customer experience. We are looking for a senior engineering architect with extensive ML experience to drive the strategy and technical design for ML systems evaluation.
The Siri team is developing groundbreaking technology at the intersection of large-scale systems, spoken language, machine learning, and LLMs in pursuit of a unique challenge: building a conversational agent that is not only helpful and knowledgeable but can also get things done naturally, intelligently, and delightfully, at the level of quality that Apple’s customers have come to expect. The ML SEE team powers the rapid iteration loop for Siri ML and software engineers. We build large-scale evaluation solutions for Apple’s latest language models and Siri's overall customer experience. We are looking for a senior engineering architect with extensive ML experience to drive the strategy and technical design for ML systems evaluation.
In this senior technical leadership role, you will define our model evaluation strategy and determine and develop appropriate methodologies to improve model accuracy. Our goal is to deliver offline evaluation insights that drive model development and user experience improvements while upholding the privacy and quality standards that Apple is known for. With the advent of Apple Intelligence, you will face novel challenges in developing representative datasets, building realistic simulation environments, and developing scalable end-to-end evaluation pipelines that can evolve rapidly with changes in system architecture. As Siri becomes more personal, you will develop innovative evaluation solutions that are grounded in realistic personal contexts. As a senior engineering leader, you will cultivate relationships with stakeholders across Siri and Apple to adopt state-of-the-art approaches to model evaluation and to adapt them to the unique needs of specific Siri models and systems. Your leadership will be instrumental in fostering a culture of continuous improvement and data-driven decision-making across Siri teams.
- 10+ years of technical leadership experience
- Experience with Machine Learning development and evaluation
- Excellent understanding of an ML-based product lifecycle.
- Demonstrated leadership in developing AI-powered products and technologies
- Proven and consistent track record of forming senior partnerships to solve complex technical problems at scale, ideally for products with a global customer base
- Proven record of gaining technical expertise on the job; demonstrated ability to learn new technologies independently.
- Experience providing technical guidance to an engineering organization
- Ability to develop a long-term vision and execute strategies at scale while maintaining a grasp of technical details for better decision-making
- MS/PhD in Machine Learning, Computer Science, or equivalent experience in a related field
- Expertise in generative AI technology, large language models (LLMs)
- Depth of knowledge and application of statistics-based evaluation methodologies or user success metrics
- Experience with systems engineering; in-depth understanding of interdependencies of ML and SW components.
- Experience in establishing and maintaining technical cross-functional partnerships across multiple organizations
- Experience with technical presentations for multiple audiences, including executives
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
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