Data Collections Lead - SIML, ISE
Summary Posted:
Jul 7, 2023 Weekly Hours:
40 Role Number:
200485651 Would you like to help shape the next set of ML features of iPhone? Would you like to contribute to the field of generative AI? Want to contribute to transforming how people interact with AI technologies? The System Intelligent and Machine Learning team is in charge of creating datasets that power many of Apple's intelligent software.
Our datasets range from very small targeted sets to Petabyte scale datasets.
As part of the Data Collection team, you will be managing end-to-end data collection projects for a wide variety of features.
Our data team is responsible for designing and building high quality datasets at scale.
At the heart of machine learning, data defines how Apple features and products operate and what is the final user experience that will impact millions of our customers.
This is an exciting time to join us:
grow fast and have an impact on multiple key features on your first day at Apple! Key Qualifications Excellent project management, communication, interpersonal, analytical, and organizational skillsPassion for creating great products and understanding the challenges associated with building datasets for machine learning features; while addressing the challenges of inclusion, bias removal, and fairness.
Ability to define/design/develop data collection efforts that focus on the end-to-end user experience, including anticipating potential failure modes, edge cases, and anomaliesCapacity to multitask and manage several projects in parallel while meeting deadlines and providing access to clients and partnersProblem solving & critical thinking capacities, with an eye for innovation and continuous optimization (improving the diversity and quality of assets, reducing time to delivery and cost)Ability to understand data needs and define concrete project deliverablesDescription Our SIML Data team focuses on data acquisition, data science, annotation, data QA and robustness analysis.
We utilize generative AI tools to help generate and evaluate data.
Each year, we power dozens of features and work closely with ML teams across the entire company.
Apple's commitment to deliver incredible experiences to a global and diverse set of users with a full respect of their privacy leads our team to explore innovative data collection processes.
In this position, you will be responsible for leading and managing data collection projects end-to-end and ensuring the quality of the data delivered to R&D.
What will fill your days:
Connect with R&D teams to understand expectations and define specs of data collection efforts, with a constant focus on fairness and on potential biases Co-define a data collection workflow with the partners, in accordance with Apple values Coordinate the efforts of internal teams (privacy, legal, procurement, security) and own the administrative setup Lead the data collection project, including working with internal and external teams Define and dynamically adapt the data collection methodology to foster efficient quality analysis and annotation Track quantities and quality delivered Education & Experience Bachelors degree, or equivalent practical experience.
Additional Requirements A strong understanding of applied machine learning concepts is desiredFormal or informal experience working with generative AI tools (including personal projects) is desiredExperience in data operations supporting R&D work related to generative AI is a strong plusAbility to maintain and develop relationships with multi-functional teamsPay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range.
This provides the opportunity to progress as you grow and develop within a role.
The base pay range for this role is between $107,500 and $223,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs.
Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan.
You'll also receive benefits including:
Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition.
Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Learn more about Apple Benefits.
Note:
Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Recommended Skills Administration Analytical Annotation Artificial Intelligence Communication Coordinating Estimated Salary: $20 to $28 per hour based on qualifications.
Jul 7, 2023 Weekly Hours:
40 Role Number:
200485651 Would you like to help shape the next set of ML features of iPhone? Would you like to contribute to the field of generative AI? Want to contribute to transforming how people interact with AI technologies? The System Intelligent and Machine Learning team is in charge of creating datasets that power many of Apple's intelligent software.
Our datasets range from very small targeted sets to Petabyte scale datasets.
As part of the Data Collection team, you will be managing end-to-end data collection projects for a wide variety of features.
Our data team is responsible for designing and building high quality datasets at scale.
At the heart of machine learning, data defines how Apple features and products operate and what is the final user experience that will impact millions of our customers.
This is an exciting time to join us:
grow fast and have an impact on multiple key features on your first day at Apple! Key Qualifications Excellent project management, communication, interpersonal, analytical, and organizational skillsPassion for creating great products and understanding the challenges associated with building datasets for machine learning features; while addressing the challenges of inclusion, bias removal, and fairness.
Ability to define/design/develop data collection efforts that focus on the end-to-end user experience, including anticipating potential failure modes, edge cases, and anomaliesCapacity to multitask and manage several projects in parallel while meeting deadlines and providing access to clients and partnersProblem solving & critical thinking capacities, with an eye for innovation and continuous optimization (improving the diversity and quality of assets, reducing time to delivery and cost)Ability to understand data needs and define concrete project deliverablesDescription Our SIML Data team focuses on data acquisition, data science, annotation, data QA and robustness analysis.
We utilize generative AI tools to help generate and evaluate data.
Each year, we power dozens of features and work closely with ML teams across the entire company.
Apple's commitment to deliver incredible experiences to a global and diverse set of users with a full respect of their privacy leads our team to explore innovative data collection processes.
In this position, you will be responsible for leading and managing data collection projects end-to-end and ensuring the quality of the data delivered to R&D.
What will fill your days:
Connect with R&D teams to understand expectations and define specs of data collection efforts, with a constant focus on fairness and on potential biases Co-define a data collection workflow with the partners, in accordance with Apple values Coordinate the efforts of internal teams (privacy, legal, procurement, security) and own the administrative setup Lead the data collection project, including working with internal and external teams Define and dynamically adapt the data collection methodology to foster efficient quality analysis and annotation Track quantities and quality delivered Education & Experience Bachelors degree, or equivalent practical experience.
Additional Requirements A strong understanding of applied machine learning concepts is desiredFormal or informal experience working with generative AI tools (including personal projects) is desiredExperience in data operations supporting R&D work related to generative AI is a strong plusAbility to maintain and develop relationships with multi-functional teamsPay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range.
This provides the opportunity to progress as you grow and develop within a role.
The base pay range for this role is between $107,500 and $223,500, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs.
Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan.
You'll also receive benefits including:
Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition.
Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Learn more about Apple Benefits.
Note:
Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Recommended Skills Administration Analytical Annotation Artificial Intelligence Communication Coordinating Estimated Salary: $20 to $28 per hour based on qualifications.
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