Senior ML Engineer - Experimentation
Apple
Senior ML Engineer - Experimentation
Job Description
At Apple, we work every day to create products that enrich people’s lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads in the App Store and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. Ads ML Experimentation team is looking for a Senior Software Engineer to build the next generation of software platform and systems to advance experimentation that connect millions of global users to content from publishers and developers. Your work will drive the experimentation framework development of machine learned algorithm at scale. You will build sophisticated systems essential in the end-end development of predictive algorithms. You will design and engineer tools for managing AB test experiments, for performing exploratory analysis, and for real-time monitoring of experiment behavior, while preserving privacy of our customers. Partner with business leaders and stakeholders to design, implement and evolve the features of a multivariate experimentation platform. Promote experimentation best practices across the organization. Execute on the experimentation roadmap and future integrations with data-driven prioritization. Exercise strong judgment and make thoughtful decisions with ambiguous situations. Striking the right balance between short-term wins vs. long-term success based on various constraints. You will join and contribute to a culture that emphasizes observability and understandability, reliability, resiliency, simplicity, reusability, extensibility, scalability, velocity and productivity. We are one team, nurturing each other’s growth and supporting each other in delivering for our customers and Apple.
Locations
- Cupertino, California, United States 95014
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
- building software platforms and systemsintermediate
- developing experimentation frameworksintermediate
- developing machine learned algorithms at scaleintermediate
- building sophisticated systemsintermediate
- end-to-end development of predictive algorithmsintermediate
- designing and engineering toolsintermediate
- managing A/B test experimentsintermediate
- performing exploratory analysisintermediate
- real-time monitoring of experiment behaviorintermediate
- preserving user privacyintermediate
- designing, implementing and evolving featuresintermediate
- promoting best practicesintermediate
- executing on roadmapsintermediate
- data-driven prioritizationintermediate
- exercising strong judgmentintermediate
- making thoughtful decisions in ambiguous situationsintermediate
- striking balance between short-term and long-term successintermediate
- emphasizing observability and understandabilityintermediate
- emphasizing reliability and resiliencyintermediate
- emphasizing simplicityintermediate
- emphasizing reusabilityintermediate
- emphasizing extensibilityintermediate
- emphasizing scalabilityintermediate
- emphasizing velocity and productivityintermediate
- nurturing growthintermediate
- supporting team deliveryintermediate
Required Qualifications
- Skilled at designing and building complex large-scale and distributed software systems in cloud computing environments like AWS (experience)
- Strong experience in Experimentation frameworks, A/B testing and Machine Learning methodologies (experience)
- Fluency in programming languages like Java, Scala, Python and SQL (experience)
- Experience with event stream processing (ESP) technologies like Spark Streaming, Kafka, Flink or equivalent (experience)
- Experience with backend object stores, automated data pipelines, cloud-native data storage and processing frameworks (experience)
- Familiarity with data-oriented workflow orchestration frameworks like Airflow, Kubeflow, etc. (experience)
- Familiarity with statistics and ability to use data analysis techniques to understand data quality, profile system loads, relationships between business metrics, and technical performance (experience)
- Excellent communication, social and presentation skills (experience)
- Skilled at operating in a cross-functional organization (experience)
- Ability to condense complex concepts and analysis into clear and concise takeaways that drive action (experience)
- Prior experience in advertising industry is a plus (experience)
- Prior experience with advanced statistical and causal inference is a plus (experience)
- Curious business attitude with a proven ability to seek projects with a sense of ownership (experience)
Preferred Qualifications
- Degree in Computer Science, Statistics, Applied Math or related field. (degree in computer science)
- 5+ years of industry experience designing, building, maintaining, and extending web-scale production systems. (experience, 5 years)
- Exposure to AB testing and machine learning methodologies. (experience)
Responsibilities
- Partner with business leaders and stakeholders to design, implement and evolve the features of a multivariate experimentation platform. Promote experimentation best practices across the organization. Execute on the experimentation roadmap and future integrations with data-driven prioritization. Exercise strong judgment and make thoughtful decisions with ambiguous situations. Striking the right balance between short-term wins vs. long-term success based on various constraints.
- You will join and contribute to a culture that emphasizes observability and understandability, reliability, resiliency, simplicity, reusability, extensibility, scalability, velocity and productivity. We are one team, nurturing each other’s growth and supporting each other in delivering for our customers and Apple.
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Answer 10 quick questions to check your fit for Senior ML Engineer - Experimentation @ Apple.
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Senior ML Engineer - Experimentation
Apple
Senior ML Engineer - Experimentation
Job Description
At Apple, we work every day to create products that enrich people’s lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads in the App Store and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. Ads ML Experimentation team is looking for a Senior Software Engineer to build the next generation of software platform and systems to advance experimentation that connect millions of global users to content from publishers and developers. Your work will drive the experimentation framework development of machine learned algorithm at scale. You will build sophisticated systems essential in the end-end development of predictive algorithms. You will design and engineer tools for managing AB test experiments, for performing exploratory analysis, and for real-time monitoring of experiment behavior, while preserving privacy of our customers. Partner with business leaders and stakeholders to design, implement and evolve the features of a multivariate experimentation platform. Promote experimentation best practices across the organization. Execute on the experimentation roadmap and future integrations with data-driven prioritization. Exercise strong judgment and make thoughtful decisions with ambiguous situations. Striking the right balance between short-term wins vs. long-term success based on various constraints. You will join and contribute to a culture that emphasizes observability and understandability, reliability, resiliency, simplicity, reusability, extensibility, scalability, velocity and productivity. We are one team, nurturing each other’s growth and supporting each other in delivering for our customers and Apple.
Locations
- Cupertino, California, United States 95014
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
- building software platforms and systemsintermediate
- developing experimentation frameworksintermediate
- developing machine learned algorithms at scaleintermediate
- building sophisticated systemsintermediate
- end-to-end development of predictive algorithmsintermediate
- designing and engineering toolsintermediate
- managing A/B test experimentsintermediate
- performing exploratory analysisintermediate
- real-time monitoring of experiment behaviorintermediate
- preserving user privacyintermediate
- designing, implementing and evolving featuresintermediate
- promoting best practicesintermediate
- executing on roadmapsintermediate
- data-driven prioritizationintermediate
- exercising strong judgmentintermediate
- making thoughtful decisions in ambiguous situationsintermediate
- striking balance between short-term and long-term successintermediate
- emphasizing observability and understandabilityintermediate
- emphasizing reliability and resiliencyintermediate
- emphasizing simplicityintermediate
- emphasizing reusabilityintermediate
- emphasizing extensibilityintermediate
- emphasizing scalabilityintermediate
- emphasizing velocity and productivityintermediate
- nurturing growthintermediate
- supporting team deliveryintermediate
Required Qualifications
- Skilled at designing and building complex large-scale and distributed software systems in cloud computing environments like AWS (experience)
- Strong experience in Experimentation frameworks, A/B testing and Machine Learning methodologies (experience)
- Fluency in programming languages like Java, Scala, Python and SQL (experience)
- Experience with event stream processing (ESP) technologies like Spark Streaming, Kafka, Flink or equivalent (experience)
- Experience with backend object stores, automated data pipelines, cloud-native data storage and processing frameworks (experience)
- Familiarity with data-oriented workflow orchestration frameworks like Airflow, Kubeflow, etc. (experience)
- Familiarity with statistics and ability to use data analysis techniques to understand data quality, profile system loads, relationships between business metrics, and technical performance (experience)
- Excellent communication, social and presentation skills (experience)
- Skilled at operating in a cross-functional organization (experience)
- Ability to condense complex concepts and analysis into clear and concise takeaways that drive action (experience)
- Prior experience in advertising industry is a plus (experience)
- Prior experience with advanced statistical and causal inference is a plus (experience)
- Curious business attitude with a proven ability to seek projects with a sense of ownership (experience)
Preferred Qualifications
- Degree in Computer Science, Statistics, Applied Math or related field. (degree in computer science)
- 5+ years of industry experience designing, building, maintaining, and extending web-scale production systems. (experience, 5 years)
- Exposure to AB testing and machine learning methodologies. (experience)
Responsibilities
- Partner with business leaders and stakeholders to design, implement and evolve the features of a multivariate experimentation platform. Promote experimentation best practices across the organization. Execute on the experimentation roadmap and future integrations with data-driven prioritization. Exercise strong judgment and make thoughtful decisions with ambiguous situations. Striking the right balance between short-term wins vs. long-term success based on various constraints.
- You will join and contribute to a culture that emphasizes observability and understandability, reliability, resiliency, simplicity, reusability, extensibility, scalability, velocity and productivity. We are one team, nurturing each other’s growth and supporting each other in delivering for our customers and Apple.
Tags & Categories
Answer 10 quick questions to check your fit for Senior ML Engineer - Experimentation @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs