Design and build infrastructures to support features that empowers billions of Siri Spotlight and Safari users. Perform language processing statistical analysis and user intent analysis to support your hypothesis for how to improve product-outcomes. Leverage proprietary parallel data processing platform to process web scale data to deliver product features and improvements. Design & run/deploy various metrics and evaluations of features/improvements using a variety of tools like grading logs processing pre-launch and holdback A/Bs. Present results of analysis to team and leadership across Apple.
- Bachelors degree or above in Computer Science Mathematics Statistics or a related technical field or equivalent proven experience.
- 5 years of experience in machine learning retrieval and ranking for search recommendation or ads systems.
- Mastery of two of following languages: Python Go Java C
- Excellent knowledge and good practical skills in major machine learning algorithms
- Hands-on experience in RAG including developing evaluating and enhancing for both retrievers and generative LLMs.
- Excellent data analytical skills
- Good interpersonal skills and great team player
- Strong written and verbal communication skills
- Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants including minorities women protected veterans and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about disclose or discuss their compensation or that of other applicants.
Design and build infrastructures to support features that empowers billions of Siri Spotlight and Safari users. Perform language processing statistical analysis and user intent analysis to support your hypothesis for how to improve product-outcomes. Leverage proprietary parallel data processing plat...
Design and build infrastructures to support features that empowers billions of Siri Spotlight and Safari users. Perform language processing statistical analysis and user intent analysis to support your hypothesis for how to improve product-outcomes. Leverage proprietary parallel data processing platform to process web scale data to deliver product features and improvements. Design & run/deploy various metrics and evaluations of features/improvements using a variety of tools like grading logs processing pre-launch and holdback A/Bs. Present results of analysis to team and leadership across Apple.
- Bachelors degree or above in Computer Science Mathematics Statistics or a related technical field or equivalent proven experience.
- 5 years of experience in machine learning retrieval and ranking for search recommendation or ads systems.
- Mastery of two of following languages: Python Go Java C
- Excellent knowledge and good practical skills in major machine learning algorithms
- Hands-on experience in RAG including developing evaluating and enhancing for both retrievers and generative LLMs.
- Excellent data analytical skills
- Good interpersonal skills and great team player
- Strong written and verbal communication skills
- Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants including minorities women protected veterans and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about disclose or discuss their compensation or that of other applicants.
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