Machine Learning & Software Engineer, Search Platform - AI/ML Search/Recommendations/Personalization
Software and Services
+ 5+ years of relevant industry experience building and scaling fault-tolerant distributed systems
+ Experience developing high quality, high performance server software in Go
+ Hands on experience across the software engineering stack, including core backend systems, APIs, data pipelines, and infrastructure
+ Experience in the design and delivery of sophisticated production infrastructure systems
+ Experience building microservices on Kubernetes, Docker, or other container deployment architecture
+ Strong production debugging and performance tuning skills
+ Passion. Our customers love what we do at Apple, and we want the same from our engineers
+ PREFERRED SKILLS
+ Deep understanding of the search and information retrieval fundamentals including indexing, query understanding, retrieval and ranking
+ Experience building search solutions using Lucene / Solr / Elasticsearch or related search technologies
+ Experience building real-time data ingestion pipelines using big data / streaming technologies like Kafka, Spark, Hadoop, Akka etc
+ Familiarity with A/B experimentation and data/metric-driven product development
The Apple Media Products (iTunes) Search Team is looking for extraordinary engineers to help build next-generation search features for Apple's ground breaking devices and platforms. You will have a major impact on the way people search & discover Apple Media content on Apple devices worldwide! You will support search on all devices (macOS, iOS, tvOS, watchOS, Siri/HomePod) across media products (App Store, iTunes, Music, Video, Books, Podcasts) globally in languages from Arabic to Russian and everything in between. You will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second. You will build search server side features & infrastructure to better support recall, relevance, ranking, real-time indexing, and personalization. Come join a team with strong expertise in software engineering, information retrieval, language processing, data mining, machine learning, scalable systems, and parallel processing (Go, Kafka, Hadoop, Scala, Spark)!
**Education & Experience**
Master's degree or foreign equivalent in Computer Science, Information Technology, Software Engineering, or related field and 5+ years of experience in the job offered or related occupation.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .
Apple is required to comply with a COVID-19 vaccination mandate issued by the New York City Department of Health. We will verify the vaccination status of all New York City team members who are working at an Apple Store, office, or partner store in New York City. Learn more (Opens in a new window) .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.
Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .