Senior Engineering Manager - Applied Machine Learning - AiDP

The Applied Machine Learning team has been at the forefront of accelerating
digital transformation through machine learning across Apple's enterprise
ecosystem. The proven ML Platforms, Solutions, and Services provide a
comprehensive suite of capabilities to achieve efficiency, agility, and
innovation at Apple scale—serving business-critical needs across Apple’s
enterprise. We are seeking a highly motivated and skilled Engineering Manager to
lead and scale the Search / Information Retrieval team. The ideal candidate will
have a strong foundation in Java development, a solid understanding of
distributed systems, hands-on experience in Search, Information Retrieval and
relevancy tuning, and a keen interest in Generative AI (GenAI). You will play a
critical role in building, scaling, and maintaining next-generation systems and
applications that leverage the power of Search & GenAI technologies, ensuring
robust, scalable, and efficient solutions.

DESCRIPTION

Embark on a transformative journey as an Engineering Manager within Apple's
Applied Machine Learning Team. In this role, you will be responsible for the
strategic direction, technical architecture, and leadership of a high-performing
engineering team. You will assume a pivotal role in building and supporting the
high-performance, scalable enterprise platforms that underpin our Search,
Knowledge Graph, ML and inferencing systems. You shall be entrusted with the
stewardship of ensuring unparalleled availability, optimal performance, and
minimal latency for our high-throughput applications, thereby directly
influencing and elevating the customer experience. Your responsibilities will
encompass the development and optimal functioning of diverse workloads across
ML/KG/Inference platforms, coupled with the exploration of, and building deep
understanding of latest open source technologies and innovative solutions. You
will bridge the gap between legacy search infrastructure (IR) and modern
Generative AI capabilities to build next-generation, highly intelligent
information ecosystems. A proven aptitude for outstanding interpersonal
communication, a high degree of accountability and the capacity to collaborate
seamlessly across multifaceted business and technical teams are paramount.

MINIMUM QUALIFICATIONS

Bachelor’s Degree in Computer Science, Information Technology or equivalent. 10+
Years of experience in Software Engineering, with at least 3+ years in a
leadership or management capacity. Proficiency in Java and in Information
Retrieval and Generative AI.

PREFERRED QUALIFICATIONS

Deep Expertise in Search & IR - Strong understanding of classic Information
Retrieval algorithms, relevance tuning, and ranking architectures (e.g. Solr,
Open Search, Lucene). Proven track record of designing systems that integrate
Generative AI, RAG (Retrieval-Augmented Generation), Vector Databases, and
Hybrid Search strategies. Advanced Proficiency in Java & either Information
Retrieval or Generative AI Proven history of designing, architecting, and
deploying highly available, distributed systems capable of handling massive data
volumes and low-latency requirements. Strong understanding of software
engineering principles and fundamentals including data structures and
algorithms. Demonstrated ability to build, hire, and retain top-tier engineering
talent. Experience managing teams of engineers across various skill levels
(Junior to Senior). Excellent ability to manage expectations and communication
between executives, Product Managers, and cross-functional teams Solid
understanding of concurrency and multi-threading, multiple design patterns and
debugging and analytical methodologies Exposure to Data processing and Model
Training or FineTuning methodologies Exposure to Performance tuning JVMs
Exposure to BigData processing systems Meaningful Contributions to OpenSource
Software Ability to foster a culture of innovation, psychological safety, and
technical excellence within a fast-paced environment.