Machine Learning Manager - Strategic Data Solutions
Apple
Machine Learning Manager - Strategic Data Solutions
Job Description
Apple's Strategic Data Solutions (SDS) AppleCare team is looking for a talented manager who is passionate about managing a team of machine learning engineers that craft, implement, and operate analytical solutions that have direct and measurable impact to Apple and its customers. We employ predictive modeling and statistical analysis techniques to build end-to-end solutions for improving security, fraud prevention, and operational efficiency. Apple's dedication to customer privacy, the adversarial nature of fraud, and the enormous scale of the business present exciting challenges to traditional machine learning and data science techniques. On this team, we will push the limits of existing data science methods while delivering tangible business value! • Engage with business teams to find opportunities, understand requirements, and translate those requirements into technical solutions • Design data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problem • Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions • Ensure operational and business metric health by monitoring production decision points • Investigate adversarial trends, identify behavior patterns, and respond with agile logic changes • Communicate results of analyses to business partners and executives • Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team • Mentor machine learning engineers for their individual career development • Deliver timely, constructive feedback to help team members recognize their needs and their progress • Review the team’s production code and logic prior to deployment • Drive the collaborative and supportive SDS culture on your team, and collaborate with peers to share best practices across the larger organization
Locations
- Austin, Texas, United States 78727
Salary
Estimated Salary Rangemedium confidence
50,000,000 - 120,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- managing a team of machine learning engineersintermediate
- predictive modelingintermediate
- statistical analysisintermediate
- designing data science approachintermediate
- developing custom algorithmsintermediate
- collaborating with data engineersintermediate
- collaborating with platform architectsintermediate
- implementing production real-time solutionsintermediate
- implementing batch decisioning solutionsintermediate
- monitoring production decision pointsintermediate
- monitoring business metricsintermediate
- investigating adversarial trendsintermediate
- identifying behavior patternsintermediate
- responding with agile logic changesintermediate
- communicating results of analysesintermediate
- researching new technologies in data scienceintermediate
- researching new methods in data engineeringintermediate
- researching new methods in data visualizationintermediate
- mentoring machine learning engineersintermediate
- delivering constructive feedbackintermediate
- reviewing production codeintermediate
- reviewing logic prior to deploymentintermediate
- driving collaborative cultureintermediate
- sharing best practicesintermediate
Required Qualifications
- Hands-on experience as a data scientist, machine learning engineer, or equivalent role in either academia or industry (experience)
- At least 2+ years of leadership experience in data science / machine learning (e.g. serving as a team lead, mentoring/hiring interns or other junior machine learning engineers / machine learning engineers, or prior management experience) (experience, 2 years)
- Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection (experience)
Preferred Qualifications
- Familiarity with database modeling and data warehousing principles and SQL. (experience)
- Familiarity with Big Data tools like Spark, Hive etc. (experience)
- Strong programming skills in Java, Python, or similar language (experience)
- Ability to comprehend and debug complex systems integrations spanning toolchains and teams (experience)
- Ability to extract meaningful business insights from data and identify the stories behind the patterns (experience)
- Creativity to engineer novel features and signals, and to push beyond current tools and approaches (experience)
- Ability to coach machine learning engineers and a drive to invest in team’s success. (experience)
- Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways (experience)
Responsibilities
- • Engage with business teams to find opportunities, understand requirements, and translate those requirements into technical solutions
- • Design data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problem
- • Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions
- • Ensure operational and business metric health by monitoring production decision points
- • Investigate adversarial trends, identify behavior patterns, and respond with agile logic changes
- • Communicate results of analyses to business partners and executives
- • Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team
- • Mentor machine learning engineers for their individual career development
- • Deliver timely, constructive feedback to help team members recognize their needs and their progress
- • Review the team’s production code and logic prior to deployment
- • Drive the collaborative and supportive SDS culture on your team, and collaborate with peers to share best practices across the larger organization
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Machine Learning Manager - Strategic Data Solutions
Apple
Machine Learning Manager - Strategic Data Solutions
Job Description
Apple's Strategic Data Solutions (SDS) AppleCare team is looking for a talented manager who is passionate about managing a team of machine learning engineers that craft, implement, and operate analytical solutions that have direct and measurable impact to Apple and its customers. We employ predictive modeling and statistical analysis techniques to build end-to-end solutions for improving security, fraud prevention, and operational efficiency. Apple's dedication to customer privacy, the adversarial nature of fraud, and the enormous scale of the business present exciting challenges to traditional machine learning and data science techniques. On this team, we will push the limits of existing data science methods while delivering tangible business value! • Engage with business teams to find opportunities, understand requirements, and translate those requirements into technical solutions • Design data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problem • Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions • Ensure operational and business metric health by monitoring production decision points • Investigate adversarial trends, identify behavior patterns, and respond with agile logic changes • Communicate results of analyses to business partners and executives • Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team • Mentor machine learning engineers for their individual career development • Deliver timely, constructive feedback to help team members recognize their needs and their progress • Review the team’s production code and logic prior to deployment • Drive the collaborative and supportive SDS culture on your team, and collaborate with peers to share best practices across the larger organization
Locations
- Austin, Texas, United States 78727
Salary
Estimated Salary Rangemedium confidence
50,000,000 - 120,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- managing a team of machine learning engineersintermediate
- predictive modelingintermediate
- statistical analysisintermediate
- designing data science approachintermediate
- developing custom algorithmsintermediate
- collaborating with data engineersintermediate
- collaborating with platform architectsintermediate
- implementing production real-time solutionsintermediate
- implementing batch decisioning solutionsintermediate
- monitoring production decision pointsintermediate
- monitoring business metricsintermediate
- investigating adversarial trendsintermediate
- identifying behavior patternsintermediate
- responding with agile logic changesintermediate
- communicating results of analysesintermediate
- researching new technologies in data scienceintermediate
- researching new methods in data engineeringintermediate
- researching new methods in data visualizationintermediate
- mentoring machine learning engineersintermediate
- delivering constructive feedbackintermediate
- reviewing production codeintermediate
- reviewing logic prior to deploymentintermediate
- driving collaborative cultureintermediate
- sharing best practicesintermediate
Required Qualifications
- Hands-on experience as a data scientist, machine learning engineer, or equivalent role in either academia or industry (experience)
- At least 2+ years of leadership experience in data science / machine learning (e.g. serving as a team lead, mentoring/hiring interns or other junior machine learning engineers / machine learning engineers, or prior management experience) (experience, 2 years)
- Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection (experience)
Preferred Qualifications
- Familiarity with database modeling and data warehousing principles and SQL. (experience)
- Familiarity with Big Data tools like Spark, Hive etc. (experience)
- Strong programming skills in Java, Python, or similar language (experience)
- Ability to comprehend and debug complex systems integrations spanning toolchains and teams (experience)
- Ability to extract meaningful business insights from data and identify the stories behind the patterns (experience)
- Creativity to engineer novel features and signals, and to push beyond current tools and approaches (experience)
- Ability to coach machine learning engineers and a drive to invest in team’s success. (experience)
- Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways (experience)
Responsibilities
- • Engage with business teams to find opportunities, understand requirements, and translate those requirements into technical solutions
- • Design data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problem
- • Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions
- • Ensure operational and business metric health by monitoring production decision points
- • Investigate adversarial trends, identify behavior patterns, and respond with agile logic changes
- • Communicate results of analyses to business partners and executives
- • Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team
- • Mentor machine learning engineers for their individual career development
- • Deliver timely, constructive feedback to help team members recognize their needs and their progress
- • Review the team’s production code and logic prior to deployment
- • Drive the collaborative and supportive SDS culture on your team, and collaborate with peers to share best practices across the larger organization
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Manager - Strategic Data Solutions @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs