26 jobs for "Machine Learning Engineer - AI, Search & Knowledge Platform"

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

Apple's AI & Data Platform (AiDP) Data Services organization is seeking a motivated database systems engineer to join our Data Services SRE team, focused on our analytics and search database fleet. Engineers on this team develop and contribute to platform tooling that manages search and analytics engines powering some of Apple's most critical internet services at massive scale. In AiDP, your work will benefit hundreds of millions of users.

Description
The AiDP Data Services SRE team builds engine-agnostic platform capabilities - provisioning, backup/restore, observability, and self-service - spanning Couchbase, OpenSearch, and Apache Doris. This role involves supporting data migration efforts across hybrid-cloud environments with minimal downtime and guaranteed data integrity, following established runbooks and adhering to local data residency and regulatory requirements. This role requires good communication and collaboration with Core Analytics teams and colleagues across a distributed team.","responsibilities":"Apply core SRE concepts - monitoring, alerting, and incident management - with growing independence.
Build working knowledge of document, search, and OLAP/analytics database concepts across Couchbase, OpenSearch, and Apache Doris.
Support performance engineering efforts (profiling, tuning, query optimization) across analytics engines, under guidance from senior team members.
Assist with service management across bare metal, virtualized (EC2, Ali Cloud ECS), and containerized (K8s) style platforms.
Execute and support data migration and ingestion pipeline tasks across hybrid clouds, including validation and rollback support.
Build understanding of operating systems and datacenter architecture concepts relevant to search/analytics workloads.
Produce and maintain clear documentation - runbooks, architecture diagrams, and migration playbook updates.
Support compliance with local data residency and regulatory requirements applicable to China-based infrastructure.

Preferred Qualifications
Some operational experience with stateful services on Kubernetes (operators, StatefulSets, CSI storage).
Exposure to database-as-a-service control planes, provisioning APIs, or self-service tooling.
Experience assisting with cross-cloud / hybrid-cloud data migrations for search/analytics systems.
Familiarity with observability concepts (SLIs/SLOs), backup, and DR practices for document/search/OLAP engines.
Exposure to real-time OLAP/analytics engines (e.g., ClickHouse, StarRocks) as a complement to Apache Doris.
Proficiency in Mandarin (spoken and written), to support coordination with local Ali Cloud teams and regional vendors/partners.
Contributions to open-source database projects or internal data-platform tooling.

Minimum Qualifications
BS or MS in Computer Science / related fields or equivalent work experience, with 7+ years in a BS or MS in Computer Science / related fields or equivalent work experience, with 7+ years in a Site Reliability Engineering / Infrastructure focused role.
Hands-on production experience with at least one of Couchbase, OpenSearch, or Apache Doris, including exposure to On Call and Incident Management.
Exposure to running infrastructure with reliance on automation tooling, across Datacenter and Cloud architectures (including Alibaba Cloud/Ali Cloud and/or AWS).
Solid troubleshooting skills, a resourceful first-principles approach to problem solving, and good technical writing habits.
Good understanding in one or more of the following programming languages: Python, Go.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

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