AIML - Sr Data Scientist, Evaluation
Apple
AIML - Sr Data Scientist, Evaluation
Job Description
Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? Within the evaluation organization, the mission of Data Science and Insights team is to guide product development, decisions and directions through principled evaluation and rigorous use of data. You will partner with various engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across iPhone, iPad, HomePod, Mac, Watch, tv, across dozens of languages. Research and develop evaluation methods to improve the quality of Siri’s user facing products. Work with evaluation/experimentation engineering teams to get your methodological developments translated into technologies that Siri engineering will use every day. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing work, and presentations. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of Siri Search data structures and metrics, advocating for changes where needed for product development. Partner closely with Siri search engineering teams on core machine learning algorithms and systems that are part of Siri’s ability to understand and respond to requests. You should be passionate about building outstanding products. This position involves a wide variety of skills and innovation.
Locations
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- driving product impact via measurement and evaluationintermediate
- principled evaluationintermediate
- rigorous use of dataintermediate
- improve search qualityintermediate
- guide feature development with dataintermediate
- research and develop evaluation methodsintermediate
- work with large complex data setsintermediate
- solve difficult non-routine analysis problemsintermediate
- applying advanced analytical methodsintermediate
- data gatheringintermediate
- requirements specificationintermediate
- data processingintermediate
- data analysisintermediate
- ongoing workintermediate
- presentationsintermediate
- build and prototype analysis pipelinesintermediate
- develop comprehensive knowledge of data structures and metricsintermediate
- advocating for changesintermediate
- partner with engineering teams on machine learning algorithms and systemsintermediate
Required Qualifications
- Experience in data science, machine learning, and analytics, including statistical data analysis and A/B testing. (experience)
- Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data. (experience)
- Strong programming skills, including data-querying skills (SQL and/or Spark, etc.) and experience with a scripting language for data processing and development (e.g., Python, R, or Scala). (experience)
- 5 years of relevant work experience. (experience, 5 years)
- B.S. in Machine Learning, Computer Science, Statistics, Operations Research or related areas. (experience)
Preferred Qualifications
- Hands-on experience with online AB testing platform. Experience designing, analyzing and interpreting experiments. (experience)
- Hands-on experience with on-device logging and metrics development. (experience)
- Experience with large language models, leveraging LLM for evaluation and product improvement. (experience)
- Ph.D. in machine learning, computer science, statistics, operations research or related areas. (experience)
- 8 years of relevant work experience. (experience, 8 years)
Responsibilities
- Research and develop evaluation methods to improve the quality of Siri’s user facing products. Work with evaluation/experimentation engineering teams to get your methodological developments translated into technologies that Siri engineering will use every day.
- Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing work, and presentations.
- Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of Siri Search data structures and metrics, advocating for changes where needed for product development.
- Partner closely with Siri search engineering teams on core machine learning algorithms and systems that are part of Siri’s ability to understand and respond to requests. You should be passionate about building outstanding products. This position involves a wide variety of skills and innovation.
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AIML - Sr Data Scientist, Evaluation
Apple
AIML - Sr Data Scientist, Evaluation
Job Description
Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? Within the evaluation organization, the mission of Data Science and Insights team is to guide product development, decisions and directions through principled evaluation and rigorous use of data. You will partner with various engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across iPhone, iPad, HomePod, Mac, Watch, tv, across dozens of languages. Research and develop evaluation methods to improve the quality of Siri’s user facing products. Work with evaluation/experimentation engineering teams to get your methodological developments translated into technologies that Siri engineering will use every day. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing work, and presentations. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of Siri Search data structures and metrics, advocating for changes where needed for product development. Partner closely with Siri search engineering teams on core machine learning algorithms and systems that are part of Siri’s ability to understand and respond to requests. You should be passionate about building outstanding products. This position involves a wide variety of skills and innovation.
Locations
- Seattle, Washington, United States 98117
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- driving product impact via measurement and evaluationintermediate
- principled evaluationintermediate
- rigorous use of dataintermediate
- improve search qualityintermediate
- guide feature development with dataintermediate
- research and develop evaluation methodsintermediate
- work with large complex data setsintermediate
- solve difficult non-routine analysis problemsintermediate
- applying advanced analytical methodsintermediate
- data gatheringintermediate
- requirements specificationintermediate
- data processingintermediate
- data analysisintermediate
- ongoing workintermediate
- presentationsintermediate
- build and prototype analysis pipelinesintermediate
- develop comprehensive knowledge of data structures and metricsintermediate
- advocating for changesintermediate
- partner with engineering teams on machine learning algorithms and systemsintermediate
Required Qualifications
- Experience in data science, machine learning, and analytics, including statistical data analysis and A/B testing. (experience)
- Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data. (experience)
- Strong programming skills, including data-querying skills (SQL and/or Spark, etc.) and experience with a scripting language for data processing and development (e.g., Python, R, or Scala). (experience)
- 5 years of relevant work experience. (experience, 5 years)
- B.S. in Machine Learning, Computer Science, Statistics, Operations Research or related areas. (experience)
Preferred Qualifications
- Hands-on experience with online AB testing platform. Experience designing, analyzing and interpreting experiments. (experience)
- Hands-on experience with on-device logging and metrics development. (experience)
- Experience with large language models, leveraging LLM for evaluation and product improvement. (experience)
- Ph.D. in machine learning, computer science, statistics, operations research or related areas. (experience)
- 8 years of relevant work experience. (experience, 8 years)
Responsibilities
- Research and develop evaluation methods to improve the quality of Siri’s user facing products. Work with evaluation/experimentation engineering teams to get your methodological developments translated into technologies that Siri engineering will use every day.
- Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing work, and presentations.
- Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of Siri Search data structures and metrics, advocating for changes where needed for product development.
- Partner closely with Siri search engineering teams on core machine learning algorithms and systems that are part of Siri’s ability to understand and respond to requests. You should be passionate about building outstanding products. This position involves a wide variety of skills and innovation.
Tags & Categories
Answer 10 quick questions to check your fit for AIML - Sr Data Scientist, Evaluation @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs